The macroscopic behavior of the TCP congestion avoidance algorithm
ACM SIGCOMM Computer Communication Review
A comparison of mechanisms for improving TCP performance over wireless links
IEEE/ACM Transactions on Networking (TON)
Modeling TCP Reno performance: a simple model and its empirical validation
IEEE/ACM Transactions on Networking (TON)
NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey
Computer Networks: The International Journal of Computer and Telecommunications Networking
Comments on "modeling TCP reno performance: a simple model and its empirical validation"
IEEE/ACM Transactions on Networking (TON)
Performance of secondary radios in spectrum sharing with prioritized primary access
MILCOM'06 Proceedings of the 2006 IEEE conference on Military communications
Integrated satellite-HAP systems
IEEE Communications Magazine
Dynamic spectrum access in open spectrum wireless networks
IEEE Journal on Selected Areas in Communications
CogNS: A Simulation Framework for Cognitive Radio Networks
Wireless Personal Communications: An International Journal
Hi-index | 0.00 |
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 paper, we present how regular TCP which was designed for wired networks is not suitable for dynamic spectrum access networks. We 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.