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Semi-Persistent Scheduling (SPS) is a resource allocation technique used in wireless communication systems to efficiently transmit recurring traffic like voice calls and real-time services. It allocates specific time resources deterministically, improving quality of service while optimizing resource usage and enhancing network capacity. SPS is primarily used in Time Division Duplex systems and involves activating allocated resources during transmission periods and deactivating them otherwise.
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dissertation
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In Wireless/Mobile networks various kinds of encoding schemes were used for transmission of data over a bandwidth. The desired quality and generated traffic varies with the requirement with this bandwidth. A generic video telephony may require more than 40 kbps whereas a low motion video telephony may require about 25 kbps for data transmission. From the designing point of view these requirements demands for an alternative resource planning, especially for bandwidth allocation in wireless networks. In wireless network where bandwidth is a scare resource, the system may need to block incoming user if all of the bandwidth has been used to provide highest quality of service to existing users. However this bandwidth resource planning may be unacceptable for larger application. A degradable approach to multiple users can be made on bandwidth allocation to reduce the blocking probability without degrading the quality of service to existing users.
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Wireless communication and Network
Email: chanaka.lasantha@gmail.com
Social : https://www.linkedin.com/in/chanaka-lasantha-nanayakkara-220615a0/
Efficient Bandwidth Recycling In Wireless Broadband Networks
Abstract: Bandwidth recycling is proliferated in wireless broadband networks, in which IEEE 802.16 standard was
designed to support the bandwidth demanding applications with quality of service (QoS). Bandwidth is reserved for each
application to ensure the QoS. For variable bit rate (VBR) applications, however, it is difficult for the subscriber station (SS)
to predict the amount of incoming data. To ensure the QoS guaranteed services, the SS may reserve more bandwidth than its
demand. As a result, the reserved bandwidth may not be fully utilized all the time. In this paper, we propose a scheme,
named Bandwidth Recycling, to recycle the unused bandwidth without changing the existing bandwidth reservation. The
idea of the proposed scheme is to allow other SSs to utilize the unused bandwidth when it is available. Thus, the system
throughput can be improved while maintaining the same QoS guaranteed services. Mathematical analysis and simulation
are used to evaluate the proposed scheme. Simulation and analysis results confirm that the proposed scheme can recycle
55% of unused bandwidth on average. By analyzing factors affecting the recycling performance, three scheduling algorithms
are proposed to improve the overall throughput. The simulation results show that our proposed algorithm improves the
overall throughput by 60% in a steady network. to carry out research object at providing quality of network performance in
Heterogeneous computing environment
Index Terms: QoS, WiMAX, IEEE 802.16, Bandwidth Recycling,
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2) It provides a case study on simple computation of system lifespan in a wireless sensor network and analyzes factors like node energy consumption and data rate.
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Introduction
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WSN Design Issues: MAC Protocols, Routing Protocols, Transport Protocols
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Case Study: Simple Computation of the System Life Span
Practical Example.
Choosing the best quality of service algorithm using OPNET simulation
The concept of quality of service (QoS) is a new computer technology. Previously, there was a slow internet connection to access the sites and it was slow to send information. But now, it requires speeding up the traffic and increasing the efficiency for audio and video. In this study, we discuss the concepts of QoS provided over the network to achieve these goals. This study aims to compare six algorithms to control the QoS, then, the best algorithm will be selected to improve the traffic. These algorithms are named first in first out (FIFO), priority queuing (PQ), custom queuing (CQ), CQ with low latency queuing (LLQ), weighted fair queuing (WFQ), WFQ with low latency queuing (LLQ), so the behavior of these algorithms can be measured. The results obtained by comparing between them using OPNET simulation show that the best algorithm is the priority queuing algorithm, followed by CQ, then CQ with LLQ, then WFQ, then WFQ with LLQ and finally FIFO. All these results are plotted in the form of graphs to show the paths of these algorithms for the single state with an operation time of 5 minutes for each algorithm.
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PERFORMANCE COMPARISON OF PACKET SCHEDULING ALGORITHMS FOR VIDEO TRAFFIC IN L...
In this paper we have studied downlink packet scheduling algorithms proposed for LTE cellular networks.
The study emphasize on three most promising scheduling algorithms such as: FLS, EXP rule and LOG rule.
The performance of these three algorithms is conducted over video traffic in a vehicular environment using
LTE-Sim simulator. The simulation was setup with varying number of users from 10 - 60 in fixed bounded
regions of 1 km radius. The main goal this study is to provide results that will help in the design process of
packet scheduler for LTE cellular networks, aiming to get better overall performance users. Simulation
results show that, the FLS scheme outperforms in terms of average system throughput, average packet
delay, PLR; and with a satisfactory level of fairness index.
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- 1. Title: Semi-Persistent Scheduling (SPS): Enhancing Efficiency and Capacity in Wireless Communication Systems By Abdul Rehman
- 2. Semi-Persistent Scheduling (SPS): Enhancing Efficiency and Capacity in Wireless Communication Systems • Introduction: Welcome to the presentation on Semi-Persistent Scheduling (SPS). •
- 3. • What is Semi-Persistent Scheduling?Definition: Semi-Persistent Scheduling (SPS) is a resource allocation technique used in wireless communication systems. • It enables efficient transmission of recurring traffic, such as voice and real-time services.
- 4. 1.Key Characteristics of SPS:Time Division Duplex (TDD) Systems: SPS is primarily used in TDD-based wireless systems. 2.Time Resource Allocation: SPS allocates specific time resources for recurring traffic. 3.Deterministic Transmission: It provides deterministic transmission opportunities for specific users or traffic types.
- 5. 1.Benefits of SPS:Increased Efficiency: SPS optimizes resource allocation, reducing overhead and improving spectral efficiency. 2.Enhanced Capacity: By dedicating specific resources, SPS allows for more users and traffic to be served simultaneously. 3.QoS Improvement: SPS ensures reliable and predictable transmission for real-time services, improving quality of service (QoS).
- 6. 1.SPS Operation: A Step-by-Step OverviewUser-Specific Configuration: Users are assigned SPS parameters and time resource allocations. 2.Activation Period: SPS is activated during specific time slots for recurring traffic. 3.Deactivation Period: SPS is deactivated during non-recurring traffic periods to utilize resources efficiently.
- 7. • SPS Activation and Deactivation Example:Diagram illustrating the activation and deactivation periods of SPS for a specific user or traffic type.
- 8. • SPS Parameter Configuration:Parameters such as SPS interval, SPS duration, and SPS offset are configured to optimize resource allocation for different traffic types.
- 9. • SPS in LTE (Long-Term Evolution):Discussion on how SPS is implemented in LTE networks, including details about resource blocks, subframes, and channel elements.
- 10. • SPS in 5G Networks:Overview of how SPS is adapted and improved in 5G networks, including support for new frequency bands and massive MIMO technology.
- 11. 1.Use Cases of SPS:Voice over LTE (VoLTE): SPS ensures reliable voice transmission, maintaining call quality even in congested network scenarios. 2.Real-time Multimedia Services: SPS supports real-time video streaming, online gaming, and other latency-sensitive applications.
- 12. • SPS Challenges and Solutions:Discussion on challenges faced during SPS implementation, such as interference and dynamic traffic patterns, along with proposed solutions.
- 13. • Research and Future Directions:Ongoing research efforts to further optimize SPS algorithms, improve inter-system coordination, and support new technologies like edge computing and network slicing.
- 14. • Case Study: SPS Deployment in a Cellular Network:Real-world example showcasing the deployment and performance improvements achieved through SPS implementation.
- 15. • Conclusion:Recap of the key points discussed regarding Semi- Persistent Scheduling (SPS) and its benefits in wireless communication systems.
- 16. • Q&A Session:Open the floor for questions and discussion
- 17. • Backup Slides:Additional slides containing relevant graphs, diagrams, or supporting information for further reference.