Distributed Cooperative Sensing in Cognitive Radio Networks: An Overlapping Coalition Formation Approach
Tianyu Wang, Lingyang Song, Zhu Han, and Walid Saad

TL;DR
This paper introduces a novel distributed cooperative sensing algorithm for cognitive radio networks that allows secondary users to form overlapping coalitions, significantly improving sensing performance and reducing errors and overhead.
Contribution
It proposes a new overlapping coalition formation game approach enabling secondary users to self-organize into overlapping coalitions for enhanced spectrum sensing.
Findings
Error probability decreased by up to 25%
Missed detection probability reduced by up to 20%
Overhead reduced by up to 80%
Abstract
Cooperative spectrum sensing has been shown to yield a significant performance improvement in cognitive radio networks. In this paper, we consider distributed cooperative sensing (DCS) in which secondary users (SUs) exchange data with one another instead of reporting to a common fusion center. In most existing DCS algorithms, the SUs are grouped into disjoint cooperative groups or coalitions, and within each coalition the local sensing data is exchanged. However, these schemes do not account for the possibility that an SU can be involved in multiple cooperative coalitions thus forming overlapping coalitions. Here, we address this problem using novel techniques from a class of cooperative games, known as overlapping coalition formation games, and based on the game model, we propose a distributed DCS algorithm in which the SUs self-organize into a desirable network structure with…
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Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Distributed Sensor Networks and Detection Algorithms · Advanced Bandit Algorithms Research
