scholarly journals Cross-Layer Chase Combining With Selective Retransmission, Analysis, and Throughput Optimization for OFDM Systems

2016 ◽  
Vol 64 (6) ◽  
pp. 2311-2325 ◽  
Author(s):  
Taniya Shafique ◽  
Muhammad Zia ◽  
Huy-Dung Han ◽  
Hasan Mahmood
Keyword(s):  
Cross Layer ◽  
Throughput Optimization ◽  
Ofdm Systems ◽  
Chase Combining

scholarly journals Cross-layer Throughput Optimization in Slow Fading Wireless Channel

2013 ◽  
Vol 19 (6) ◽  
Author(s):  
Z. S. Velickovic ◽  
M. Jevtovic ◽  
V. Pavlovic
Keyword(s):  
Wireless Channel ◽  
Cross Layer ◽  
Throughput Optimization ◽  
Slow Fading

A Novel QoS Guaranteed Cross-Layer Scheduling Scheme for Downlink Multiuser OFDM Systems

2012 ◽  
Vol 182-183 ◽  
pp. 1352-1357 ◽  
Author(s):  
Wen Min Ma ◽  
Hai Jun Zhang ◽  
Xiang Ming Wen ◽  
Wei Zheng ◽  
Zhao Ming Lu
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Optimization Problem ◽  
System Throughput ◽  
Cross Layer ◽  
Ofdm Systems ◽  
Spectrum Utilization ◽  
Scheduling Scheme ◽  
Qos Differentiation ◽  
Efficient Power

To provide quality-of-service (QoS) differentiation and guarantee user fairness, efficient power and spectrum utilization for the downlink multiuser orthogonal frequency-division multiplexing (MU-OFDM) systems, a novel QoS guaranteed cross-layer (QGCL) scheduling scheme is proposed in this paper. The scheme formulates the scheduling into an optimization problem of overall system utility under the system constraints. Moreover, we propose a simple and efficient binary constrained particle swarm optimization (PSO) to solve the scheduling more effectively. Comparing with the classical methods, simulation results show that the proposed QGCL scheduling scheme can significantly maximize the system throughput given that the fulfillment of the QoS requirements as well as the fairness is guaranteed.

Dynamic Throughput Optimization in Wireless Multi-Hop Networks

2013 ◽  
Vol 284-287 ◽  
pp. 2735-2740
Author(s):  
Jain Shing Liu
Keyword(s):  
Monte Carlo ◽  
Markov Chain ◽  
Distributed Algorithm ◽  
Optimization Problem ◽  
Optimal Solution ◽  
Cross Layer ◽  
Throughput Optimization ◽  
Computational Results ◽  
Cross Layer Optimization ◽  
Stream Control

In this paper, we study the throughput optimization problem in wireless multi-hop networks. For this problem, we introduce a cross-layer formulation to accommodate routing, scheduling and stream control from different layers of network with relevant constraints. Specially, by using a Lagrangian approach and a Markov Chain Monte Carlo method, we extend the programming-based formulation to a distributed algorithm that can dynamically approximate the optimal solution without the overhead of centralization. Finally, through computational results, we discuss the insight that can be gained from the cross-layer optimization and the distributed algorithm.

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