Non-Bayesian Learning of Channel Sensing Order for Dynamic Spectrum Access Networks

2011 ◽  
Author(s):  
Bowen Li ◽  
Panlong Yang ◽  
Jinlong Wang ◽  
Qihui Wu ◽  
Nan Xia
Keyword(s):  
Dynamic Spectrum Access ◽  
Bayesian Learning ◽  
Dynamic Spectrum ◽  
Access Networks ◽  
Spectrum Access ◽  
Channel Sensing ◽  
Dynamic Spectrum Access Networks ◽  
Channel Sensing Order

On the Performance of Transport Control Protocol in Cognitive Radio Networks

2013 ◽  
pp. 246-261
Author(s):  
Yogesh Kondareddy ◽  
Alireza Babaei ◽  
Prathima Agrawal
Keyword(s):  
Dynamic Spectrum Access ◽  
Transmission Control Protocol ◽  
Dynamic Spectrum ◽  
Access Networks ◽  
Spectrum Access ◽  
Control Protocol ◽  
Wired Networks ◽  
Transport Control ◽  
Dynamic Spectrum Access Networks ◽  
Tcp Throughput

Transmission Control Protocol (TCP) is the most commonly used transport protocol on the Internet. All indications assure that it will be an integral part of the future Internetworks. In this chapter, the authors present how regular TCP, which was designed for wired networks, is not suitable for dynamic spectrum access networks. They develop an analytical model to estimate the TCP throughput of dynamic spectrum access networks. Dynamic spectrum access networks deal with opportunistic spectrum access leading to greater utilization of the spectrum. The extent of utilization depends on the primary user’s traffic and also on the way the spectrum is accessed by the primary and secondary users. The proposed model considers primary and secondary user traffic in estimating the TCP throughput by modeling the spectrum access using continuous-time Markov chains, thus providing more insight on effect of dynamic spectrum access on TCP performance than the existing models.

Sign in / Sign up

Export Citation Format

Share Document