Transmission Control Protocol (TCP) is the most important transport layer protocol being used nowadays. It suffers from many problems over mobile networks especially over Cognitive Radio (CR). CR is one of the latest ...Transmission Control Protocol (TCP) is the most important transport layer protocol being used nowadays. It suffers from many problems over mobile networks especially over Cognitive Radio (CR). CR is one of the latest mobile technologies that brings its own share of problems for TCP. The buffer overflow for CR secondary network relay node can affect the performance of TCP. The contribution of this paper is the novel cross-layer model being used to evaluate the effect of the TCP congestion control on the secondary relay node buffer size in Cognitive Radio Network (CRN). The performance has been assessed by buffer overflow probability.展开更多
如何合理分配有限的频谱资源是认知无线电网络的核心问题之一.通过对物理层功率控制和MAC层带宽分配需求的研究,建立以最大化系统吞吐量为目标的跨层优化模型.并在该模型的基础上设计一种基于跨层议价博弈的带宽与功率分配算法(Bandwidt...如何合理分配有限的频谱资源是认知无线电网络的核心问题之一.通过对物理层功率控制和MAC层带宽分配需求的研究,建立以最大化系统吞吐量为目标的跨层优化模型.并在该模型的基础上设计一种基于跨层议价博弈的带宽与功率分配算法(Bandwidth and Power Allocation Algorithm-Cross Layer Bargaining Game,BPAA-CLBG).仿真结果表明该算法可以有效地提高认知无线电网络的频谱利用率,且在系统吞吐量方面较现有算法有明显的改善.展开更多
文摘Transmission Control Protocol (TCP) is the most important transport layer protocol being used nowadays. It suffers from many problems over mobile networks especially over Cognitive Radio (CR). CR is one of the latest mobile technologies that brings its own share of problems for TCP. The buffer overflow for CR secondary network relay node can affect the performance of TCP. The contribution of this paper is the novel cross-layer model being used to evaluate the effect of the TCP congestion control on the secondary relay node buffer size in Cognitive Radio Network (CRN). The performance has been assessed by buffer overflow probability.
文摘如何合理分配有限的频谱资源是认知无线电网络的核心问题之一.通过对物理层功率控制和MAC层带宽分配需求的研究,建立以最大化系统吞吐量为目标的跨层优化模型.并在该模型的基础上设计一种基于跨层议价博弈的带宽与功率分配算法(Bandwidth and Power Allocation Algorithm-Cross Layer Bargaining Game,BPAA-CLBG).仿真结果表明该算法可以有效地提高认知无线电网络的频谱利用率,且在系统吞吐量方面较现有算法有明显的改善.