2010/08/28 by Quanyan Zhu, Zhu, Quanyan, Zhou Yuan +8 · 1 citation
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Cognitive Radio Networks and Spectrum Sensing #Computer Science and Game Theory (cs.GT) #Cooperative Communication and Network Coding #FOS: Computer and information sciences #cs.GT
paper · pdf · doi:10.48550/arxiv.1008.5340
arxiv created 2010/08/28 · openalex publication_date 2010/08/28 · arxiv updated 2010/09/01 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
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 the average packet delay along the routing path from SU nodes to CPC base stations in an optimal and distributed manner