Presented on 7/8/2014, at 2014 IEEE International Symposium on Antennas and Propagation and USNC-URSI Radio Science Meeting (APS/URSI 2014), Memphis, TN
Ding Nie and Bertrand Hochwald from the University of Notre Dame developed new bandwidth bounds for coupled loads that are applicable to MIMO communication systems. Electromagnetic coupling between antennas can benefit bandwidth. They define a power reflection ratio to measure matching for coupled loads and derive a bound on bandwidth in terms of the poles and zeros of the load's scattering matrix. Applying the bound, they show that coupling can maximize bandwidth at around a quarter wavelength spacing for dipole antennas. Broadband matching networks are needed to achieve the bounds for coupled antenna designs.
This document provides a summary of a lecture on multipath fading channels for mobile communication systems. It discusses various topics related to multipath fading including shadowing (slow fading), fast fading channels, mathematical models, and probability models. Specific topics covered include the lognormal distribution of shadowing, the two ray model, modeling the wireless channel as a black box, an introduction to fast fading, and Doppler shift. References several papers on topics like fading channels, narrowband land mobile channels, and the WSSUS channel model.
Achievable Degrees of Freedom of the K-user MISO Broadcast Channel with Alter...Mohamed Seif
The document analyzes the degrees of freedom (DoF) for the K-user multiple-input single-output (MISO) broadcast channel with alternating channel state information at the transmitters (CSIT). It proposes a transmission scheme where CSIT alternates between perfect, delayed, and no CSIT states. The scheme achieves a DoF of K^2/(2K-1), which is higher than models with only delayed CSIT. Comparisons of the DoF between the proposed alternating CSIT scheme and existing delayed CSIT schemes are presented for the broadcast channel and X-channel models.
Mimo radar detection in compound gaussian clutter using orthogonal discrete f...ijma
This paper proposes orthogonal Discrete Frequency Coding Space Time Waveforms (DFCSTW) for
Multiple Input and Multiple Output (MIMO) radar detection in compound Gaussian clutter. The proposed
orthogonal waveforms are designed considering the position and angle of the transmitting antenna when
viewed from origin. These orthogonally optimized show good resolution in spikier clutter with Generalized
Likelihood Ratio Test (GLRT) detector. The simulation results show that this waveform provides better
detection performance in spikier Clutter.
A clustering protocol using multiple chainambitlick
This document proposes two schemes for clustering protocols based on chain routing in wireless sensor networks. It then describes in detail the Chain Routing Based on Coordinates-oriented Clustering Strategy (CRBCC) protocol. CRBCC forms balanced clusters based on node coordinates, constructs intra-cluster chains using simulated annealing, elects chain leaders, and then constructs an inter-cluster chain among leaders also using simulated annealing. Simulation results show CRBCC performs better than PEGASIS in terms of energy efficiency and network delay.
Decreasing of quantity of radiation de fects inijcsa
Recently we introduced an approach to increase sharpness of diffusion-junction and implanted-junction
heterorectifiers. The heterorectifiers could by single and as a part of heterobipolar transistors. However
manufacturing p-n-junctions by ion implantation leads to generation of radiation defects in materials of
heterostructure. In this paper we introduce an approach to use an overlayer and optimization of annealing
of radiation defects to decrease quantity of radiation defects.
Ding Nie and Bertrand Hochwald from the University of Notre Dame developed new bandwidth bounds for coupled loads that are applicable to MIMO communication systems. Electromagnetic coupling between antennas can benefit bandwidth. They define a power reflection ratio to measure matching for coupled loads and derive a bound on bandwidth in terms of the poles and zeros of the load's scattering matrix. Applying the bound, they show that coupling can maximize bandwidth at around a quarter wavelength spacing for dipole antennas. Broadband matching networks are needed to achieve the bounds for coupled antenna designs.
This document provides a summary of a lecture on multipath fading channels for mobile communication systems. It discusses various topics related to multipath fading including shadowing (slow fading), fast fading channels, mathematical models, and probability models. Specific topics covered include the lognormal distribution of shadowing, the two ray model, modeling the wireless channel as a black box, an introduction to fast fading, and Doppler shift. References several papers on topics like fading channels, narrowband land mobile channels, and the WSSUS channel model.
Achievable Degrees of Freedom of the K-user MISO Broadcast Channel with Alter...Mohamed Seif
The document analyzes the degrees of freedom (DoF) for the K-user multiple-input single-output (MISO) broadcast channel with alternating channel state information at the transmitters (CSIT). It proposes a transmission scheme where CSIT alternates between perfect, delayed, and no CSIT states. The scheme achieves a DoF of K^2/(2K-1), which is higher than models with only delayed CSIT. Comparisons of the DoF between the proposed alternating CSIT scheme and existing delayed CSIT schemes are presented for the broadcast channel and X-channel models.
Mimo radar detection in compound gaussian clutter using orthogonal discrete f...ijma
This paper proposes orthogonal Discrete Frequency Coding Space Time Waveforms (DFCSTW) for
Multiple Input and Multiple Output (MIMO) radar detection in compound Gaussian clutter. The proposed
orthogonal waveforms are designed considering the position and angle of the transmitting antenna when
viewed from origin. These orthogonally optimized show good resolution in spikier clutter with Generalized
Likelihood Ratio Test (GLRT) detector. The simulation results show that this waveform provides better
detection performance in spikier Clutter.
A clustering protocol using multiple chainambitlick
This document proposes two schemes for clustering protocols based on chain routing in wireless sensor networks. It then describes in detail the Chain Routing Based on Coordinates-oriented Clustering Strategy (CRBCC) protocol. CRBCC forms balanced clusters based on node coordinates, constructs intra-cluster chains using simulated annealing, elects chain leaders, and then constructs an inter-cluster chain among leaders also using simulated annealing. Simulation results show CRBCC performs better than PEGASIS in terms of energy efficiency and network delay.
Decreasing of quantity of radiation de fects inijcsa
Recently we introduced an approach to increase sharpness of diffusion-junction and implanted-junction
heterorectifiers. The heterorectifiers could by single and as a part of heterobipolar transistors. However
manufacturing p-n-junctions by ion implantation leads to generation of radiation defects in materials of
heterostructure. In this paper we introduce an approach to use an overlayer and optimization of annealing
of radiation defects to decrease quantity of radiation defects.
This document describes a proposed algorithm for progressive texture synthesis on 3D surfaces that is optimized for bandwidth-constrained applications. It uses Discrete Wavelet Transform (DWT) and Embedded Zerotree Wavelet (EZW) to decompose textures into multi-resolution coefficients that are then prioritized for progressive transmission based on importance. This allows textures to be incrementally reconstructed at the receiver based on available bandwidth. Experimental results demonstrate the approach synthesizing textures on a 3D bunny model at increasing levels of detail. The algorithm aims to improve on previous work by making texture representation and encoding more seamless and embedded for adaptive streaming applications.
This document summarizes previous work on comparing the network costs of different interconnection network topologies. It discusses mesh, hexagonal mesh, honeycomb mesh, torus, hexagonal torus, and honeycomb torus networks. Previous studies have calculated the degree, diameter, number of nodes, and network cost (defined as the product of degree and diameter) for each network as the number of nodes or network dimension increases. This paper aims to compare the network costs of the Spidergon and Honeycomb Torus networks based on these parameters.
This document summarizes research on characterizing crosstalk in dense Geiger-mode avalanche photodiode arrays. The researchers measured crosstalk probability (PCT) using different experimental setups and calculation methods. Key findings include:
1) PCT decreases with increasing pixel distance and decreases with lower bias voltages.
2) PCT increases with higher pixel capacitance, extrapolating to a value of 0.05% for a capacitance of 100fF.
3) PCT decay time was measured to be a few microseconds to investigate crosstalk origins.
CIP Based BOND for Wireless Sensor Networksijsrd.com
The lifetime of Wireless Sensor Networks restricted by the energy level of the nodes .In traditional WSN, if a sensor node dies the base station could not able to find the dead of the node. Even if predicts it can't able to get the sensing information before it going to die. The node can dies because of animal distraction, natural disaster, battery power consumption. The base station will be in critical situation because of losing node information like identity of the node, reason for dead, and sensed information. In our proposed method the WSN nodes are arranged in cellular structure, to optimize the coverage area, reliability in getting information from the nodes and minimizing loss of information's are improved.
Iterative Soft Decision Based Complex K-best MIMO DecoderCSCJournals
This paper presents an iterative soft decision based complex multiple input multiple output (MIMO) decoding algorithm, which reduces the complexity of Maximum Likelihood (ML) detector. We develop a novel iterative complex K-best decoder exploiting the techniques of lattice reduction for 8×8 MIMO. Besides list size, a new adjustable variable has been introduced in order to control the on-demand child expansion. Following this method, we obtain 6.9 to 8.0 dB improvement over real domain K-best decoder and 1.4 to 2.5 dB better performance compared to iterative conventional complex decoder for 4th iteration and 64-QAM modulation scheme. We also demonstrate the significance of new parameter on bit error rate. The proposed decoder not only increases the performance, but also reduces the computational complexity to a certain level.
The document presents a model for estimating peak-to-peak switching noise along a vertical chain of power distribution through-silicon vias (TSVs) in a 3D stack of integrated circuits. The proposed model is accurate within 2-3% of a commercial simulator but runs 3-4 times faster and uses less memory. The model allows estimating switching noise at different locations in the stack to help determine decoupling capacitor placement and optimize the TSV pattern for power distribution. Simulation results are presented analyzing how switching noise varies with TSV dimensions, inductance, and decoupling capacitance.
Multiuser MIMO Vector Perturbation Precodingadeelrazi
This paper proposes methods for sum rate optimization in multi-user MIMO systems using vector perturbation precoding. It derives an expression for sum rate in terms of the average transmitted vector energy. It then uses this to obtain a high-SNR upper bound on sum rate and proposes an extension of vector perturbation that allocates different rates to different users. It also proposes a low-complexity user scheduling algorithm as a method for rate allocation.
This document discusses a proposed architecture for a higher Nyquist-range digital-to-analog converter (DAC) that employs sinusoidal interpolation.
[1] Conventional DACs operate within the Nyquist range, but the proposed architecture aims to utilize higher Nyquist ranges by approximating an oscillating signal from an RF DAC concept using sinusoidal interpolation in the time domain.
[2] The proposed architecture quantizes both the input signal and pulse amplitude modulation waveform and combines them digitally, replacing analog oscillatory circuits with a digital data stream. This reduces analog complexity compared to existing techniques.
[3] Simulation results and theoretical analysis are presented to support that the proposed architecture can provide similar performance
Communication by Whispers Paradigm for Short Range Communication in Cognitive...IDES Editor
With ever increasing demand for efficiency
and increased throughput over the wireless domain, we
have now reached a point where in a method for efficient
utilization of the electromagnetic spectrum is in demand.
Cognitive radio provides us with a way in which this demand
could be catered, it does so by using devices which
autonomously adjust their communication parameters to
adapt to the external environment. However, the most
critical of this entire technology is the parameter relating to
the Spectrum Sensing aspects. In order for cognitive radio
devices to properly configure and identify the presence of
a primary carrier in a communication mode, spectrum
sensors and efficient sensing algorithms are required. There
have been many algo- rithms developed in this field.
However, these available spectrum sensing algorithms are
prohibitively expensive to implement in wireless devices that
cater to only short distance communication. In this paper,
we propose a parsimonious spectrum sensing algorithm
which would deal with sensing and couple them with short
distance wireless devices over WiFi networks operating in the
2.4 GHz band. The efficiency parameters are also shown
using demonstrations.
Bounds on the Achievable Rates of Faded Dirty Paper Channel IJCNCJournal
Bounds on the achievable rate of a Gaussian channel in the case that the transmitter knows the
interference signal but not its fading coefficients are given. We generalize the analysis which were studied
in [1] and [4] so that their results are special cases of our analysis. We enforce our bounds by simulations
in which many numerical examples are drawn and investigated under different cases.
Comparison between Trigonometric and Traditional DDS, in 90 nm TechnologyTELKOMNIKA JOURNAL
The Direct Digital frequency Synthesizer (DDS) is an architecture largely used for the generation of numeric sine and/or cosine waveforms in different applications. In this work, authors compare two different DDS architectures: the traditional architecture, based on the exploitation of quarter wave symmetry, and the Symon’s DDS (trigonometric DDS) presented in 2002. The two layout configurations have been implemented in 90 nm technology and compared in terms of area, speed and power consumption. Comparisons have been performed in terms of circuital complexity on architectures having the same Spurious Free Dynamic Range (SFDR) and phase resolution. Experiments show that the trigonometric architecture is very efficient in terms of area.
The document discusses Dense Wave Division Multiplexing (DWDM) and All Optical Networking (AON). It addresses the challenges of increasing bandwidth demand and the need for network capacity expansion. DWDM allows multiple optical signals to be multiplexed onto a single fiber with no signal conversion, increasing network capacity. AON would enable fully transparent optical networks using optical cross-connects and add/drop multiplexers without optical-electrical-optical conversion. Research is ongoing to develop the technologies needed to realize AON.
This document summarizes a research paper on using wavelet neural networks (WNNs) for adaptive equalization in digital communication systems. The paper proposes using WNNs structured with wavelet basis functions as the activation functions. The orthogonal least squares (OLS) algorithm is then used to update the weighting matrix and select the most important wavelet basis units, reducing redundancy. The experimental results showed that a WNN equalizer using OLS outperformed conventional neural network equalizers in terms of signal-to-noise ratio and ability to handle non-linear channels.
Tree Based Collaboration For Target TrackingChuka Okoye
This document proposes a Dynamic Convoy Tree-Based Collaboration (DCTC) framework to detect and track mobile targets in sensor networks. DCTC uses a dynamic convoy tree structure that includes sensor nodes surrounding the target. As the target moves, the tree is reconfigured by adding or removing nodes to maintain coverage while minimizing energy consumption. The document formalizes reconfiguring the convoy tree as an optimization problem and proposes several practical solutions, including tree expansion/pruning schemes and tree reconfiguration schemes. Extensive experiments evaluate and compare the proposed solutions to an optimal solution.
This document describes a new algorithm called TADPole for accelerating dynamic time warping (DTW) clustering. It presents two key observations: 1) DTW and Euclidean distance results converge as data size increases, and 2) lower-bounding pruning is more effective for larger data sizes. The TADPole algorithm achieves significant speedups over brute force DTW clustering through a novel admissible pruning strategy during local density computation and nearest neighbor distance calculation. It demonstrates strong clustering quality and scalability on real-world time series datasets.
This document discusses multihop/direct forwarding (MDF) for wireless sensor networks deployed in 3D environments. It analyzes the behavior of MDF and compares it to other forwarding schemes. The key points are:
1) MDF is analyzed for its ability to balance energy consumption across sensor nodes in a 3D network model, with the goal of prolonging network lifetime.
2) The network is divided into logical nodes based on distance from the base station. Equations are derived for dividing packet flows between nodes to optimize battery lifespan.
3) Simulation results show MDF balances energy use better than other schemes like closest forwarding, leading to longer network lifetime when applied in 3D wireless sensor networks.
Text book 2 computer networks_a systems approach_peterson solution manualgopivrajan
This document provides an instructor's manual containing solutions to exercises in the 5th edition of the textbook "Computer Networks: A Systems Approach" by Larry Peterson and Bruce Davie. The solutions are sorted by section and cover a range of difficulties. The manual notes that some exercises require basic probability knowledge and provides resources on the textbook website for instructors. It welcomes feedback on the solutions and suggestions for improvements.
Efficient Broadcast Authentication with Highest Life Span in Wireless Sensor ...IRJET Journal
This document discusses efficient broadcast authentication to maximize the lifetime of wireless sensor networks. It proposes using a greedy heuristics algorithm with the X-TESLA broadcast authentication protocol. X-TESLA uses short key chains to authenticate broadcast messages but has limitations regarding sleep modes, network failures, idle sessions, extended lifetime, and denial-of-service attacks. The proposed approach combines X-TESLA with greedy heuristics to address these issues and significantly improve network lifetime compared to using each approach alone. It aims to find a broadcast tree that maximizes the minimum residual energy of nodes after broadcasting to prolong the ability of the network to complete future broadcasts.
Adaptive Channel Equalization using Multilayer Perceptron Neural Networks wit...IOSRJVSP
This document presents a neural network approach to channel equalization using a multilayer perceptron with a variable learning rate parameter. Specifically, it proposes modifying the backpropagation algorithm to allow the learning rate to adapt at each iteration in order to achieve faster convergence. The equalizer structure is a decision feedback equalizer modeled as a neural network with an input, hidden and output layer. Simulation results show the proposed variable learning rate approach improves bit error rate and convergence speed compared to a standard backpropagation algorithm.
This document provides an outline and overview of a presentation titled "Fault Tolerance in Wireless Sensor Networks Using Constrained Delaunay Triangulation". The presentation discusses using Constrained Delaunay Triangulation as a coverage strategy to provide fault tolerance, event reporting, and energy efficiency in wireless sensor networks. It outlines the proposed work, which includes deploying sensors, distributed greedy algorithm for coverage, Constrained Delaunay Triangulation algorithm, and selection of backup nodes. Simulation results are presented comparing the proposed approach to traditional approaches.
This document summarizes a chapter on multilayer perceptrons from a textbook on neural networks. It introduces the limitations of Rosenblatt's perceptron model and how multilayer perceptrons can overcome these limitations by using multiple hidden layers. The backpropagation algorithm is described as a method for training multilayer perceptrons by propagating error signals backward from the output to adjust weights. Examples are given of how a two-layer network can solve the XOR problem that a single-layer perceptron cannot.
1. Fast algorithms for quantized convolutional neural networks using Number Theoretic Transforms (NTTs) can provide computational savings over naïve integer convolutions. NTTs, which are discrete Fourier transforms defined over a finite field, allow the use of fast Fourier transform-like algorithms for convolution.
2. The paper proposes using Fermat Number Transforms (FNTs), a type of NTT, to efficiently compute convolutions for quantized values. FNTs support fast Fourier transform algorithms and only require modular additions and shifts.
3. Benchmarks on a Raspberry Pi Zero show that the proposed FNT approach provides computational improvements over a naïve convolution implementation for quantized convolutional neural
This document describes a proposed algorithm for progressive texture synthesis on 3D surfaces that is optimized for bandwidth-constrained applications. It uses Discrete Wavelet Transform (DWT) and Embedded Zerotree Wavelet (EZW) to decompose textures into multi-resolution coefficients that are then prioritized for progressive transmission based on importance. This allows textures to be incrementally reconstructed at the receiver based on available bandwidth. Experimental results demonstrate the approach synthesizing textures on a 3D bunny model at increasing levels of detail. The algorithm aims to improve on previous work by making texture representation and encoding more seamless and embedded for adaptive streaming applications.
This document summarizes previous work on comparing the network costs of different interconnection network topologies. It discusses mesh, hexagonal mesh, honeycomb mesh, torus, hexagonal torus, and honeycomb torus networks. Previous studies have calculated the degree, diameter, number of nodes, and network cost (defined as the product of degree and diameter) for each network as the number of nodes or network dimension increases. This paper aims to compare the network costs of the Spidergon and Honeycomb Torus networks based on these parameters.
This document summarizes research on characterizing crosstalk in dense Geiger-mode avalanche photodiode arrays. The researchers measured crosstalk probability (PCT) using different experimental setups and calculation methods. Key findings include:
1) PCT decreases with increasing pixel distance and decreases with lower bias voltages.
2) PCT increases with higher pixel capacitance, extrapolating to a value of 0.05% for a capacitance of 100fF.
3) PCT decay time was measured to be a few microseconds to investigate crosstalk origins.
CIP Based BOND for Wireless Sensor Networksijsrd.com
The lifetime of Wireless Sensor Networks restricted by the energy level of the nodes .In traditional WSN, if a sensor node dies the base station could not able to find the dead of the node. Even if predicts it can't able to get the sensing information before it going to die. The node can dies because of animal distraction, natural disaster, battery power consumption. The base station will be in critical situation because of losing node information like identity of the node, reason for dead, and sensed information. In our proposed method the WSN nodes are arranged in cellular structure, to optimize the coverage area, reliability in getting information from the nodes and minimizing loss of information's are improved.
Iterative Soft Decision Based Complex K-best MIMO DecoderCSCJournals
This paper presents an iterative soft decision based complex multiple input multiple output (MIMO) decoding algorithm, which reduces the complexity of Maximum Likelihood (ML) detector. We develop a novel iterative complex K-best decoder exploiting the techniques of lattice reduction for 8×8 MIMO. Besides list size, a new adjustable variable has been introduced in order to control the on-demand child expansion. Following this method, we obtain 6.9 to 8.0 dB improvement over real domain K-best decoder and 1.4 to 2.5 dB better performance compared to iterative conventional complex decoder for 4th iteration and 64-QAM modulation scheme. We also demonstrate the significance of new parameter on bit error rate. The proposed decoder not only increases the performance, but also reduces the computational complexity to a certain level.
The document presents a model for estimating peak-to-peak switching noise along a vertical chain of power distribution through-silicon vias (TSVs) in a 3D stack of integrated circuits. The proposed model is accurate within 2-3% of a commercial simulator but runs 3-4 times faster and uses less memory. The model allows estimating switching noise at different locations in the stack to help determine decoupling capacitor placement and optimize the TSV pattern for power distribution. Simulation results are presented analyzing how switching noise varies with TSV dimensions, inductance, and decoupling capacitance.
Multiuser MIMO Vector Perturbation Precodingadeelrazi
This paper proposes methods for sum rate optimization in multi-user MIMO systems using vector perturbation precoding. It derives an expression for sum rate in terms of the average transmitted vector energy. It then uses this to obtain a high-SNR upper bound on sum rate and proposes an extension of vector perturbation that allocates different rates to different users. It also proposes a low-complexity user scheduling algorithm as a method for rate allocation.
This document discusses a proposed architecture for a higher Nyquist-range digital-to-analog converter (DAC) that employs sinusoidal interpolation.
[1] Conventional DACs operate within the Nyquist range, but the proposed architecture aims to utilize higher Nyquist ranges by approximating an oscillating signal from an RF DAC concept using sinusoidal interpolation in the time domain.
[2] The proposed architecture quantizes both the input signal and pulse amplitude modulation waveform and combines them digitally, replacing analog oscillatory circuits with a digital data stream. This reduces analog complexity compared to existing techniques.
[3] Simulation results and theoretical analysis are presented to support that the proposed architecture can provide similar performance
Communication by Whispers Paradigm for Short Range Communication in Cognitive...IDES Editor
With ever increasing demand for efficiency
and increased throughput over the wireless domain, we
have now reached a point where in a method for efficient
utilization of the electromagnetic spectrum is in demand.
Cognitive radio provides us with a way in which this demand
could be catered, it does so by using devices which
autonomously adjust their communication parameters to
adapt to the external environment. However, the most
critical of this entire technology is the parameter relating to
the Spectrum Sensing aspects. In order for cognitive radio
devices to properly configure and identify the presence of
a primary carrier in a communication mode, spectrum
sensors and efficient sensing algorithms are required. There
have been many algo- rithms developed in this field.
However, these available spectrum sensing algorithms are
prohibitively expensive to implement in wireless devices that
cater to only short distance communication. In this paper,
we propose a parsimonious spectrum sensing algorithm
which would deal with sensing and couple them with short
distance wireless devices over WiFi networks operating in the
2.4 GHz band. The efficiency parameters are also shown
using demonstrations.
Bounds on the Achievable Rates of Faded Dirty Paper Channel IJCNCJournal
Bounds on the achievable rate of a Gaussian channel in the case that the transmitter knows the
interference signal but not its fading coefficients are given. We generalize the analysis which were studied
in [1] and [4] so that their results are special cases of our analysis. We enforce our bounds by simulations
in which many numerical examples are drawn and investigated under different cases.
Comparison between Trigonometric and Traditional DDS, in 90 nm TechnologyTELKOMNIKA JOURNAL
The Direct Digital frequency Synthesizer (DDS) is an architecture largely used for the generation of numeric sine and/or cosine waveforms in different applications. In this work, authors compare two different DDS architectures: the traditional architecture, based on the exploitation of quarter wave symmetry, and the Symon’s DDS (trigonometric DDS) presented in 2002. The two layout configurations have been implemented in 90 nm technology and compared in terms of area, speed and power consumption. Comparisons have been performed in terms of circuital complexity on architectures having the same Spurious Free Dynamic Range (SFDR) and phase resolution. Experiments show that the trigonometric architecture is very efficient in terms of area.
The document discusses Dense Wave Division Multiplexing (DWDM) and All Optical Networking (AON). It addresses the challenges of increasing bandwidth demand and the need for network capacity expansion. DWDM allows multiple optical signals to be multiplexed onto a single fiber with no signal conversion, increasing network capacity. AON would enable fully transparent optical networks using optical cross-connects and add/drop multiplexers without optical-electrical-optical conversion. Research is ongoing to develop the technologies needed to realize AON.
This document summarizes a research paper on using wavelet neural networks (WNNs) for adaptive equalization in digital communication systems. The paper proposes using WNNs structured with wavelet basis functions as the activation functions. The orthogonal least squares (OLS) algorithm is then used to update the weighting matrix and select the most important wavelet basis units, reducing redundancy. The experimental results showed that a WNN equalizer using OLS outperformed conventional neural network equalizers in terms of signal-to-noise ratio and ability to handle non-linear channels.
Tree Based Collaboration For Target TrackingChuka Okoye
This document proposes a Dynamic Convoy Tree-Based Collaboration (DCTC) framework to detect and track mobile targets in sensor networks. DCTC uses a dynamic convoy tree structure that includes sensor nodes surrounding the target. As the target moves, the tree is reconfigured by adding or removing nodes to maintain coverage while minimizing energy consumption. The document formalizes reconfiguring the convoy tree as an optimization problem and proposes several practical solutions, including tree expansion/pruning schemes and tree reconfiguration schemes. Extensive experiments evaluate and compare the proposed solutions to an optimal solution.
This document describes a new algorithm called TADPole for accelerating dynamic time warping (DTW) clustering. It presents two key observations: 1) DTW and Euclidean distance results converge as data size increases, and 2) lower-bounding pruning is more effective for larger data sizes. The TADPole algorithm achieves significant speedups over brute force DTW clustering through a novel admissible pruning strategy during local density computation and nearest neighbor distance calculation. It demonstrates strong clustering quality and scalability on real-world time series datasets.
This document discusses multihop/direct forwarding (MDF) for wireless sensor networks deployed in 3D environments. It analyzes the behavior of MDF and compares it to other forwarding schemes. The key points are:
1) MDF is analyzed for its ability to balance energy consumption across sensor nodes in a 3D network model, with the goal of prolonging network lifetime.
2) The network is divided into logical nodes based on distance from the base station. Equations are derived for dividing packet flows between nodes to optimize battery lifespan.
3) Simulation results show MDF balances energy use better than other schemes like closest forwarding, leading to longer network lifetime when applied in 3D wireless sensor networks.
Text book 2 computer networks_a systems approach_peterson solution manualgopivrajan
This document provides an instructor's manual containing solutions to exercises in the 5th edition of the textbook "Computer Networks: A Systems Approach" by Larry Peterson and Bruce Davie. The solutions are sorted by section and cover a range of difficulties. The manual notes that some exercises require basic probability knowledge and provides resources on the textbook website for instructors. It welcomes feedback on the solutions and suggestions for improvements.
Efficient Broadcast Authentication with Highest Life Span in Wireless Sensor ...IRJET Journal
This document discusses efficient broadcast authentication to maximize the lifetime of wireless sensor networks. It proposes using a greedy heuristics algorithm with the X-TESLA broadcast authentication protocol. X-TESLA uses short key chains to authenticate broadcast messages but has limitations regarding sleep modes, network failures, idle sessions, extended lifetime, and denial-of-service attacks. The proposed approach combines X-TESLA with greedy heuristics to address these issues and significantly improve network lifetime compared to using each approach alone. It aims to find a broadcast tree that maximizes the minimum residual energy of nodes after broadcasting to prolong the ability of the network to complete future broadcasts.
Adaptive Channel Equalization using Multilayer Perceptron Neural Networks wit...IOSRJVSP
This document presents a neural network approach to channel equalization using a multilayer perceptron with a variable learning rate parameter. Specifically, it proposes modifying the backpropagation algorithm to allow the learning rate to adapt at each iteration in order to achieve faster convergence. The equalizer structure is a decision feedback equalizer modeled as a neural network with an input, hidden and output layer. Simulation results show the proposed variable learning rate approach improves bit error rate and convergence speed compared to a standard backpropagation algorithm.
This document provides an outline and overview of a presentation titled "Fault Tolerance in Wireless Sensor Networks Using Constrained Delaunay Triangulation". The presentation discusses using Constrained Delaunay Triangulation as a coverage strategy to provide fault tolerance, event reporting, and energy efficiency in wireless sensor networks. It outlines the proposed work, which includes deploying sensors, distributed greedy algorithm for coverage, Constrained Delaunay Triangulation algorithm, and selection of backup nodes. Simulation results are presented comparing the proposed approach to traditional approaches.
This document summarizes a chapter on multilayer perceptrons from a textbook on neural networks. It introduces the limitations of Rosenblatt's perceptron model and how multilayer perceptrons can overcome these limitations by using multiple hidden layers. The backpropagation algorithm is described as a method for training multilayer perceptrons by propagating error signals backward from the output to adjust weights. Examples are given of how a two-layer network can solve the XOR problem that a single-layer perceptron cannot.
1. Fast algorithms for quantized convolutional neural networks using Number Theoretic Transforms (NTTs) can provide computational savings over naïve integer convolutions. NTTs, which are discrete Fourier transforms defined over a finite field, allow the use of fast Fourier transform-like algorithms for convolution.
2. The paper proposes using Fermat Number Transforms (FNTs), a type of NTT, to efficiently compute convolutions for quantized values. FNTs support fast Fourier transform algorithms and only require modular additions and shifts.
3. Benchmarks on a Raspberry Pi Zero show that the proposed FNT approach provides computational improvements over a naïve convolution implementation for quantized convolutional neural
This document provides an overview of multilayer perceptrons (MLPs) and the backpropagation algorithm. It defines MLPs as neural networks with multiple hidden layers that can solve nonlinear problems. The backpropagation algorithm is introduced as a method for training MLPs by propagating error signals backward from the output to inner layers. Key steps include calculating the error at each neuron, determining the gradient to update weights, and using this to minimize overall network error through iterative weight adjustment.
1. The document proposes using Number Theoretic Transforms (NTTs) to accelerate quantized convolutional neural networks. NTTs allow fast convolution algorithms by exploiting the finite field of quantized values.
2. The approach applies NTTs with Fermat number transforms (FNTs) to quantized convolution operations. Benchmarks on a Raspberry Pi Zero show speedups compared to a naive convolution implementation.
3. Future work includes implementing SIMD optimizations, mapping operations to finite field matrix multiplication, an FPGA implementation, and techniques like binary segmentation to further accelerate quantized convolutional neural networks.
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...ijasuc
This paper addresses the maximizing network lifetime problem in wireless sensor networks (WSNs) taking
into account the total Symbol Error rate (SER) at destination. Therefore, efficient power management is
needed for extend network lifetime. Our approach consists to provide the optimal transmission power
using the orthogonal multiple access channels between each sensor. In order to deeply study the
properties of our approach, firstly, the simple case is considered; the information sensed by the source
node passes by a single relay before reaching the destination node. Secondly, global case is studied; the
information passes by several relays. We consider, in the previous both cases, that the batteries are nonrechargeable. Thirdly, we spread our work the case where the batteries are rechargeable with unlimited
storage capacity. In all three cases, we suppose that Maximum Ratio Combining (MRC) is used as a
detector, and Amplify and Forward (AF) as a relaying strategy. Simulation results show the viability of
our approach which the network lifetime is extended of more than 70.72%when the batteries are non
rechargeable and 100.51% when the batteries are rechargeable in comparison with other traditional
method.
ENERGY EFFICIENCY OF MIMO COOPERATIVE NETWORKS WITH ENERGY HARVESTING SENSOR ...ijasuc
This paper addresses the maximizing network lifetime problem in wireless sensor networks (WSNs) taking
into account the total Symbol Error rate (SER) at destination. Therefore, efficient power management is
needed for extend network lifetime. Our approach consists to provide the optimal transmission power
using the orthogonal multiple access channels between each sensor. In order to deeply study the
properties of our approach, firstly, the simple case is considered; the information sensed by the source
node passes by a single relay before reaching the destination node. Secondly, global case is studied; the
information passes by several relays. We consider, in the previous both cases, that the batteries are nonrechargeable. Thirdly, we spread our work the case where the batteries are rechargeable with unlimited
storage capacity. In all three cases, we suppose that Maximum Ratio Combining (MRC) is used as a
detector, and Amplify and Forward (AF) as a relaying strategy. Simulation results show the viability of
our approach which the network lifetime is extended of more than 70.72%when the batteries are non
rechargeable and 100.51% when the batteries are rechargeable in comparison with other traditional
method.
This document proposes using Number Theoretic Transforms (NTTs) to accelerate quantized convolutional neural networks. NTTs, which are discrete Fourier transforms over finite fields, allow convolutional operations to be computed using fast Fourier transform-like algorithms by exploiting the circular convolution property. The approach was tested on a Raspberry Pi using Fermat number transforms to perform quantized convolutions more efficiently than a naive implementation. Future work includes optimizing for smaller kernel sizes and implementing on FPGAs.
1. The document proposes using Number Theoretic Transforms (NTTs) to accelerate quantized convolutional neural networks. NTTs allow fast convolution algorithms by treating it as a circular convolution in a finite field.
2. It presents an implementation of quantized convolutions using Fermat Number Transforms (FNTs), a type of NTT. FNTs support fast FFT-like algorithms with only modular additions and shifts.
3. Benchmarks on a Raspberry Pi Zero show the FNT approach provides computational savings over a naïve convolution implementation for quantized neural networks. Future work includes SIMD optimizations and an FPGA implementation.
The document discusses network flow problems in operations research and linear programming. It provides examples of the shortest route problem and minimal spanning tree problem. The shortest route problem aims to find the shortest paths from an origin to all destinations in a network. The minimal spanning tree problem seeks to connect all nodes in a network using the minimum total length of branches. Sample problems and step-by-step solutions are presented to illustrate how these network problems can be solved using algorithms that build solutions incrementally by adding nodes to a permanent set.
Ameliorate the performance using soft computing approaches in wireless networksIJECEIAES
Wireless sensor networks are an innovative and rapidly advanced network occupying the broad spectrum of wireless networks. It works on the principle of “use with less expense, effort and with more comfort.” In these networks, routing provides efficient and effective data transmission between different sources to access points using the clustering technique. This work addresses the low-energy adaptive clustering hierarchy (LEACH) protocol’s main backdrop of choosing head nodes based on a random value. In this, the soft computing methods are used, namely the fuzzy approach, to overcome this barrier in LEACH. Our approach’s primary goal is to extend the network lifetime with efficient energy consumption and by choosing the appropriate head node in each cluster based on the fuzzy parameters. The proposed clustering algorithm focused on two fuzzy inference structures, namely Mamdani and Sugeno fuzzy logic models in two scenarios, respectively. We compared our approach with four existing works, the conventional LEACH, LEACH using the fuzzy method, multicriteria cluster head delegation, and fuzzy-based energy efficient clustering approach (FEECA) in wireless sensor network. The proposed scenario based fuzzy LEACH protocol approaches are better than the four existing methods regarding stability, network survivability, and energy consumption.
PCA is an unsupervised learning technique used to reduce the dimensionality of large data sets by transforming the data to a new set of variables called principal components. The first principal component accounts for as much of the variability in the data as possible, and each succeeding component accounts for as much of the remaining variability as possible. PCA is commonly used for applications like dimensionality reduction, data compression, and visualization. The document discusses PCA algorithms and applications of PCA in domains like face recognition, image compression, and noise filtering.
The document discusses network analysis and various network problems. It defines key network terminology like nodes, arcs, directed and undirected networks. It describes common network problems like minimum spanning tree, shortest route, maximum flow, and critical path. Algorithms for solving minimum spanning tree and shortest path problems like Kruskal's algorithm and Dijkstra's algorithm are explained with examples. Applications of network analysis in areas like transportation, telecommunications, and project management are also mentioned.
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
- The document proposes analytical models to estimate electromagnetic field (EMF) emissions from Wi-Fi and powerline communication (PLC) links in a home network.
- It develops a model for Wi-Fi EMF emissions based on assumptions about the transmission system, propagation environment, and a path loss model. This is used to define a "radiant exposure" (RE) routing metric that estimates the expected radiated energy within a radiation-sensitive area from transmitting along a path.
- The RE metric incorporates the effects of distance between the radiating sources and sensitive area, as well as the asymmetry of radiated energy regarding the direction of each link. It is designed to fit within shortest path routing algorithms to find minimum
Wireless sensor networks (WSN) have been widely used in various applications.
In these networks nodes collect data from the attached sensors and send their data to a base
station. However, nodes in WSN have limited power supply in form of battery so the nodes
are expected to minimize energy consumption in order to maximize the lifetime of WSN. A
number of techniques have been proposed in the literature to reduce the energy
consumption significantly. In this paper, we propose a new clustering based technique
which is a modification of the popular LEACH algorithm. In this technique, first cluster
heads are elected using the improved LEACH algorithm as usual, and then a cluster of
nodes is formed based on the distance between node and cluster head. Finally, data from
node is transferred to cluster head. Cluster heads forward data, after applying aggregation,
to the cluster head that is closer to it than sink in forward direction or directly to the sink.
This reduction in distance travelled improves the performance over LEACH algorithm
significantly.
A BLIND ROBUST WATERMARKING SCHEME BASED ON SVD AND CIRCULANT MATRICEScsandit
Multimedia security has been the aim point of considerable research activity because of its wide
application area. The major technology to achieve copyright protection, content authentication,
access control and multimedia security is watermarking which is the process of embedding data
into a multimedia element such as image or audio, this embedded data can later be extracted
from, or detected in the embedded element for different purposes. In this work, a blind
watermarking algorithm based on SVD and circulant matrices has been presented. Every
circulant matrix is associated with a matrix for which the SVD decomposition coincides with the
spectral decomposition. This leads to improve the Chandra algorithm [1], our presentation will
include a discussion on the data hiding capacity, watermark transparency and robustness
against a wide range of common image processing attacks.
This document discusses a Cluster Based Distributed Spanning Tree (CBDST) routing technique for mobile ad hoc networks. CBDST organizes nodes into a hierarchy of clusters to allow instant creation of spanning trees. It aims to improve network connectivity, lifetime, energy efficiency, and load balancing compared to AODV routing. Simulation results show CBDST achieves higher packet delivery ratios and connectivity than AODV, especially with increased pause time when nodes are more static.
This document provides a short review of the NTRU cryptosystem. It begins with an outline introducing NTRU lattice, NTRUEncrypt, pqNTRUSign, and the conclusion. It then discusses why lattice-based cryptography is important, particularly with the threat of quantum computers. It provides background on lattice cryptography and the NTRU lattice, describing the NTRU ring and the NTRU assumption. The document focuses on introducing the key concepts behind the NTRU cryptosystem in under 3 sentences.
Similar to Minimum Complexity Decoupling Networks for Arbitrary Coupled Loads (20)
Minimum Complexity Decoupling Networks for Arbitrary Coupled Loads
1. Minimum Complexity Decoupling Networks for Arbitrary
Coupled Loads
Ding Nie, Bertrand Hochwald and Erik Stauffer
University of Notre Dame
Broadcom Cooperation
nding1@nd.edu
bhochwald@nd.edu
eriks@broadcom.com
July 8, 2014
Ding Nie, Bertrand Hochwald and Erik Stauffer (University of Notre Dame)Minimum Complexity Decoupling Networks July 8, 2014 1 / 13
2. Overview
1 Introduction to Decoupling Networks
2 Systematic Design of Decoupling Networks
3 Minimum Complexity Decoupling Networks
4 Summary
Ding Nie, Bertrand Hochwald and Erik Stauffer (University of Notre Dame)Minimum Complexity Decoupling Networks July 8, 2014 2 / 13
3. Coupled Loads
RF mutual coupling
Coupled antennas in MIMO
communications
RFIC coupled microstrip lines
…
Coupling is undesirable
Introduces power reflection
Mixes useful signals with unwanted signals
Solution: decoupling network
Achieves perfect impedance matching at the design frequency
Maximizes the power efficiency of the RF system
Ding Nie, Bertrand Hochwald and Erik Stauffer (University of Notre Dame)Minimum Complexity Decoupling Networks July 8, 2014 3 / 13
4. Introduction to Decoupling Networks
Two-port matching network is used to match single source to a single
load
Decoupling network is used to match uncoupled sources to coupled
loads
Transforms the coupled impedance of the loads into the uncoupled
characteristic impedance of the sources
2N-port
matching
network
N coupled
loads
.
.
.
.
.
.
.
.
.
0Z
0Z
Two-port
matching
network
LZ 0Z0Z
0Z
0Z
.
.
.
Ding Nie, Bertrand Hochwald and Erik Stauffer (University of Notre Dame)Minimum Complexity Decoupling Networks July 8, 2014 4 / 13
5. Complexity of Decoupling Networks
The decoupling networks are
complicated in general
But the realization is not unique
...
...
1
2
3
1N −
N
1N +
2N +
3N +
2 1N −
2N
Our Contribution
Systematic and unified decoupling
network design for arbitrary coupled
loads
Decoupling network design method with
minimum complexity
...
...
1
2
3
1N −
N
1N +
2N +
3N +
2 1N −
2N
Ding Nie, Bertrand Hochwald and Erik Stauffer (University of Notre Dame)Minimum Complexity Decoupling Networks July 8, 2014 5 / 13
7. Properties of Decoupling Networks
Definition of Decoupling Network
A decoupling network for N
dissipative reciprocal loads with
S-matrix SL is a lossless, reciprocal,
2N-port network S that satisfies
SLM = 0, where
SLM = S11 + S12SL(I − S22SL)−1
S21
0Z
2N-port
matching
network
0
Z
.
.
.
LSLMS
N-port
loads
1a
1b
2a
2b
.
.
.
Outputports
N+1~2N
Inputports
1~N
11 12
21 22
S S
S S
0
Non-uniqueness of Decoupling Networks
Set of decoupling networks for SL
S := {S ∈ C2N×2N
: S22 = SH
L , SH
S = I, ST
= S}
S has N2 degrees of freedom
All S-matrix in S has the same performance, but different realization
complexity
Ding Nie, Bertrand Hochwald and Erik Stauffer (University of Notre Dame)Minimum Complexity Decoupling Networks July 8, 2014 7 / 13
9. Systematic Decoupling Networks Design Steps
Systematic Decoupling Networks Design Steps
1 Find a S-matrix S that belongs to the set of decoupling networks S,
such that the number of impedance is minimized
2 Compute the admittance matrix of the decoupling network using
Cayley transform
Y =
1
Z0
(I − S)(I + S)−1
3 Realize Y using generalized Π-network
The minimum number of impedances needed to realize a decoupling
network is N2 + N
Ding Nie, Bertrand Hochwald and Erik Stauffer (University of Notre Dame)Minimum Complexity Decoupling Networks July 8, 2014 9 / 13
11. Minimum Complexity Decoupling Networks for Symmetric
Loads
Symmetric loads are SL that has the form
SL =
µL + ξL ξL · · · ξL
ξL µL + ξL · · · ξL
...
...
...
...
ξL ξL · · · µL + ξL
Apply the systematic design method, we get
...
...
1
2
3
1N −
N
1N +
2N +
3N +
2 1N −
2N
...
2
3
1N −
N
1N +
2N +
2 1N −
2N
3N +
1
3c
4c2c
1c
Only 4N impedances are needed
Ding Nie, Bertrand Hochwald and Erik Stauffer (University of Notre Dame)Minimum Complexity Decoupling Networks July 8, 2014 11 / 13
12. Summary
Systematic design of decoupling networks for arbitrary coupled loads
Decoupling networks realization using N2 + N components, the
minimum possible
Examples of two-, three-antennas and symmetric loads
Ding Nie, Bertrand Hochwald and Erik Stauffer (University of Notre Dame)Minimum Complexity Decoupling Networks July 8, 2014 12 / 13
13. References
J. B. Anderson and H. H. Rasmussen, “Decoupling and descattering
networks for antennas,” IEEE Transactions on Antennas and
Propagation, vol. 24, no. 6, pp. 841-846, Nov. 1976.
J. C. Coetzee and Y. Yu, “Design of decoupling networks for circulant
symmetric antenna arrays,” IEEE Antennas and Wireless Propagation
Letters, vol. 8, pp. 291-294, 2009.
D. M. Pozar, Microwave Engineering 4th ed., John Wiley & Sons,
2011.
D. Nie, B. Hochwald and E. Stauffer, “Systematic design of large-scale
multiport decoupling networks,” IEEE Transaction on Circuits and
Systems I: Regular Papers, vol. 61, no. 7, pp. 2172-2181, July 2014.
Ding Nie, Bertrand Hochwald and Erik Stauffer (University of Notre Dame)Minimum Complexity Decoupling Networks July 8, 2014 13 / 13