Dynamic Interference Minimization Routing Game for On-Demand Cognitive Pilot Channel
Quanyan Zhu, Zhou Yuan, Ju Bin Song, Zhu Han, and Tamer Basar

TL;DR
This paper proposes a distributed dynamic routing algorithm for cognitive radio networks that minimizes interference with primary users and reduces packet delay using game theory and hierarchical path construction.
Contribution
It introduces a novel multi-stage fictitious play learning approach for distributed routing in multi-hop cognitive radio networks, optimizing interference and delay.
Findings
Minimizes interference with primary users effectively
Reduces average packet delay in routing paths
Provides closed-form Nash equilibrium strategies
Abstract
In this paper, we introduce a distributed dynamic routing algorithm for secondary users (SUs) to minimize their interference with the primary users (PUs) in multi-hop cognitive radio (CR) networks. We use the medial axis with a relaxation factor as a reference path which is contingent on the states of the PUs. Along the axis, we construct a hierarchical structure for multiple sources to reach cognitive pilot channel (CPC) base stations. We use a temporal and spatial dynamic non-cooperative game to model the interactions among SUs as well as their influences from PUs in the multi-hop structure of the network. A multi-stage fictitious play learning is used for distributed routing in multi-hop CR networks. We obtain a set of mixed (behavioral) Nash equilibrium strategies of the dynamic game in closed form by backward induction. The proposed algorithm minimizes the overall interference and…
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Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Advanced MIMO Systems Optimization · Cooperative Communication and Network Coding
