Delay Analysis of Multichannel Opportunistic Spectrum Access MAC Protocols

TL;DR

This paper analyzes delay and queueing in multi-channel cognitive radio MAC protocols, comparing buffering and switching strategies, and proposes user clustering to enhance performance.

Contribution

It provides a comprehensive analytical framework for delay in CR MAC protocols, including new approximations and a user clustering approach for performance improvement.

Findings

Buffering MAC outperforms switching MAC in delay performance.

Delay bottleneck is mainly due to control channel access time.

User clustering significantly reduces contention and improves system performance.

Abstract

We provide in this paper a comprehensive delay and queueing analysis for two baseline medium access control (MAC) protocols for multi-user cognitive radio (CR) networks and investigate the impact of different network parameters, such as packet size, Aloha-type medium access probability and number of channels on the system performance. In addition to an accurate Markov chain, which follows the queue status of all users, several lower complexity queueing theory approximations are provided. Accuracy and performance of the proposed analytical approximations are verified with extensive simulations. It is observed that for CR networks using an Aloha-type access to the control channel, a buffering MAC protocol, where in case of interruption the CR user waits for the primary user to vacate the channel before resuming the transmission, outperforms a switching MAC protocol, where the CR user vacates the channel in case of appearance of primary users and then compete again to gain access to a new channel. The reason is that the delay bottleneck for both protocols is the time required to successfully access the control channel, which occurs more frequently for the switching MAC protocol. We also propose a user clustering approach, where users are divided into clusters with a separate control channel per cluster, and observe that it can significantly improve the performance by reducing the number of competing users per control channel.