Fairness-Based Distributed Resource Allocation in Cognitive Small Cell Networks

  • Xiaoge HuangEmail author
  • Dongyu Zhang
  • She Tang
  • Qianbin Chen
Conference paper
Part of the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering book series (LNICST, volume 262)


In this paper, we aim to maximize the total throughput of the cognitive small cell networks by jointly considering interference management, fairness-based resource allocation, average outage probability and channel reuse radius. In order to make the optimization problem tractable, we decompose the original problem into three sub-problems. Firstly, we derive the average outage probability function of the system with respect to the channel reuse radius. With a given outage probability threshold, the associated range of the channel reuse radius is obtained. In addition, a fairness-based distributed resource allocation (FDRA) algorithm is proposed to guarantee the fairness among cognitive small cell base stations (CSBSs). Finally, based on the channel reuse range we could find the maximum throughput of the small cell network tire. Simulation results demonstrate that the proposed FDRA algorithm could achieve a considerable performance improvement relative to the schemes in literature, while providing a better fairness among CSBSs.


Cognitive small cell Resource allocation Channel reuse radius Fairness 


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Copyright information

© ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2019

Authors and Affiliations

  • Xiaoge Huang
    • 1
    Email author
  • Dongyu Zhang
    • 1
  • She Tang
    • 1
  • Qianbin Chen
    • 1
  1. 1.School of Communication and Information EngineeringChongqing University of Posts and TelecommunicationsChongqingChina

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