หน่วยที่ 3 รูปร่างเครือข่าย

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3 Network Topology)
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2 point-
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o Star-Topology
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Software)

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MIMO radar is introduced in presentation ,its advantage .future scope,research area. MIMO radars represent a new generation of radars. In contrast to the traditional phased-array radar in which the transmit elements can transmit only the scaled versions of same signal, a MIMO radar allows the transmitters to transmit multiple signals. This waveform diversity offers enhanced flexibility in transmit beampattern synthesis which is an important area of MIMO radar signal processing

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Future wireless communication systems can utilize the spatial properties of the wireless channel to enhance the spectral efficiency and therefore increases its channel capacity. This can be designed by deploying multiple antennas at both the transmitter side and receiver side. The basic measure of performance is the capacity of a channel; the maximum rate of communication for which arbitrarily small error probability can be achieved. The AWGN (additive white Gaussian noise) channel introduces the notion of capacity through a heuristic argument. The AWGN channel is then used as a basic building block to check the capacity of wireless fading channels in contrast to the AWGN channel. There is no single definition of capacity for fading channels that is applicable in all situations. Several notions of capacity are developed, and together they form a systematic study of performance limits of fading channels. The various capacity measures allow us to observe clearly the various types of resources available in fading channels: degrees of freedom, power and diversity. The MIMO systems capacity can be enhanced linearly with large the number of antennas. This paper elaborates the study of MIMO system capacity using the AWGN Channel Model, Channel Capacity, Channel Fast Fading, Spatial Autocorrelation and Power delay profile for various channel environments.

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This paper investigates the effect of mutual coupling on the performance of SVD based beam-forming technique over a Rician MIMO channel. SVD based beam-forming technique were proposed as a baseband signal processing algorithm to combat NLOS issues. However, most of the researches done in regards to SVD based beam-forming technique are based on the assumption of “ideal array antennas” in which lots of practical issues including the transmitter and receiver array geometry, the number of antenna elements, the inter-element spacing and orientation are not considered. Particularly, the effect of mutual coupling due to finite element spacing is neglected. In real array antennas, Mutual Coupling (MC) is always present and its effects cannot be neglected, especially for tightly spaced arrays. Although the presence of mutual coupling leads to the “cross talk” problems for the SVD based beam-forming techniques. However, it does not adversely affect the system capacity. For some particular range of SNR, inter-element spacing, mutual coupling can in fact increase the capacity and in fact be beneficial in terms of decreasing SER

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In order to cope with the exponential growth of mobile traffic, mobile operators need to access more spectrum resources. LTE in unlicensed spectrum (LTE-U) has been proposed to extend the usual operation of LTE in licensed spectrum to cover also unlicensed spectrum. However, this extension poses significant challenges especially regarding the coexistence between LTE-U and legacy systems like Wi-Fi. In case of LTE-U adopts Time-Division Multiplexing (TDM) schemes to share the spectrum with Wi-Fi, we expect performance degradations of Wi-Fi networks. In this paper, we quantify the impact of TDM schemes on Wi-Fi performance in a coexistence scenario. We provide detailed analytical models using two different random walk approaches to compute the probability of collision faced by Wi-Fi stations and their throughput performance. Besides, we derive the performance results using an exponential approximation which shows its insufficiency to capture the exact behavior. We implement the coexistence in the NS3 simulator and we show that the models estimate accurately the collision probability and the throughput experienced by Wi-Fi. The models are then used to study and compare different coexistence schemes showing for instance that the Wi-Fi frame size has a non-negligible impact on the performance of Wi-Fi users.

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Space–time block coding is used for data communication in fading channels by multiple transmit antennas. Message data is encoded by applying a space–time block code and after the encoding the data is break into ‘n’ streams of simultaneously transmitted strings through n transmit antennas. The received signal at the receiver end is the superposition of the n transmitted signals distorted due to noise .For data recovery maximum likelihood decoding scheme is applied through decoupling of the signals transmitted from different antennas instead of joint detection. The maximum likelihood decoding scheme applies the orthogonal structure of the space–time block code (OSTBC) and gives a maximum-likelihood decoding algorithm based on linear processing at the receiver. In this paper orthogonal space–time block codes based model is developed using Matlab/Simulink to get the maximum diversity order for a given number of transmit and receive antennas subject with a simple decoding algorithm. The simulink block of orthogonal space coding block with space–time block codes is applied with and without gray coding. The OSTBC codes gives the maximum possible transmission rate for any number of transmit antennas using any arbitrary real constellation such of M-PSK array. For different complex constellation of M- PSK space–time block codes are applied that achieve 1/2 and 3/4 of the maximum possible transmission rate for MIMO transmit antennas using different complex constellations.

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An OFDM system is combined with multiple-input mult iple-output (MIMO) in order to increase the diversity gain and system capacity over the time va riant frequency-selective channels. However, a maj or drawback of MIMO-OFDM system is that the transmitte d signals on different antennas might exhibit high peak-to-average power ratio (PAPR).In this paper, w e present a PAPR analysis reduction of space-time- block-coded (STBC) MIMO-OFDM system for 4G wireless networks. Several techniques have been used to reduce the PAPR of the (STBC) MIMOOFDM system: clip ping and filtering, partial transmit sequence (PTS) and selected mapping (SLM). Simulation result s show that clipping and filtering provides a bette r PAPR reduction than the others methods and only SLM technique conserve the PAPR reduction in reception part of signal.

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Tales from a Passkey Provider Progress from Awareness to Implementation.pptx

หน่วยที่ 3 รูปร่างเครือข่าย

1. 3 Network Topology) Network Topology) 2 point- to-pointConnection) multipoint Connection)

2. 1. point-to-point) 2. multipoint) o Bus Topology

3. backbone coaxial terminator -- Bus  Star  Terminator 2

4. o Ring-Topology o Star-Topology HUB) Star 

5.  Bus hub switch Bus Hub Switch o o Transmission Media) o Hardware) o Software)