Collision Avoidance in TV White Spaces: A Cross-layer Design Approach for Cognitive Radio Networks

TL;DR

This paper presents a cross-layer design combining spectrum sensing and collision avoidance mechanisms for cognitive radio networks to efficiently utilize TV white spaces, with analytical and simulation results demonstrating throughput improvements.

Contribution

It introduces a novel cross-layer approach integrating spectrum sensing and MAC layer collision avoidance for TVWS cognitive radio networks, supported by a Markov chain model.

Findings

Throughput varies with contention window and detection probability.

Collision probability decreases with optimized sensing parameters.

The proposed design improves spectrum utilization efficiency.

Abstract

One of the most promising applications of cognitive radio networks (CRNs)is the efficient exploitation of TV white spaces (TVWSs) for enhancing the performance of wireless networks. In this paper, we propose a cross-layer design (CLD) of carrier sense multiple access with collision avoidance (CSMA/CA) mechanism at the medium access control (MAC) layer with spectrum sensing (SpSe) at the physical layer, for identifying the occupancy status of TV bands. The proposed CLD relies on a Markov chain model with a state pair containing both the SpSe and the CSMA/CA from which we derive the collision probability and the achievable throughput. Analytical and simulation results are obtained for different collision avoidance and spectrum sensing implementation scenarios by varying the contention window, backoff stage and probability of detection. The obtained results depict the achievable throughput under different collision avoidance and spectrum sensing implementation scenarios indicating thereby the performance of collision avoidance in TVWSs based cognitive radio networks.