Abstract

Cognitive radio is an exciting emerging technology that has the potential of dealing with the urgent requirement and scarcity of the radio spectrum. Although having multiple radio interfaces and available spectrum bands can generally increase the effective throughput, a problem arises as to what the best strategy to dynamically assign available bands to secondary users for maximizing throughput by minimizing the interference, and what the best scheme to allocate the spectrum holes to unlicensed users to maximize the fairness. This paper presents a distributed and heuristic spectrum assignment algorithm for multi-radio wireless cognitive networks in a cognitive network environment. The proposed algorithm (Fairness Bargaining with Maximum throughput, FBMT) considers the problems including system throughput and the fairness. Extensive simulation studies in 802.11 based multi-radio cognitive networks have been performed. The results indicate that the proposed algorithm can facilitate a large increase in network throughput and acquire a good fairness performance in comparison with a common spectrum assignment mechanism that is used as a benchmark in the literature.

Highlights

  • As wireless technologies continue to grow, more and more spectrum resources will be needed

  • The results indicate that the proposed algorithm can facilitate a large increase in network throughput and acquire a good fairness performance in comparison with a common spectrum assignment mechanism that is used as a benchmark in the literature

  • 6) We must pay attention that different secondary users have different neighbors in different bands, which means that different secondary users have various influence to system throughput if they are assigned to identical band

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Summary

Introduction

As wireless technologies continue to grow, more and more spectrum resources will be needed. Within the current spectrum regulatory framework, all of the frequency bands are exclusively allocated to specific services, and no violation from unlicensed users is allowed. A recent survey of spectrum utilization made by the Federal Communications Commission (FCC) has indicated that the actual licensed spectrum is largely underutilized in vast temporal and geographic dimensions [1]. A field spectrum measurement taken in New York City has shown that the maximum total spectrum occupancy is only 13.1% from 30 MHz to 3 GHz [2,3]. Similar results, obtained in the most crowded area of downtown Washington, D.C., indicated occupancy of less than 35% of the radio spectrum below 3 GHz. the spectrum usage varies significantly in various time, frequency, and geographic locations

Spectrum Opportunity
Related Work
Wireless Cognitive Network Architecture
Definitions
Optimization Problems
Color-Sensitive Graph Coloring Problem
The Analysis of Existing Algorithms
Performance Index
Simulations
Findings
Conclusions
Full Text
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