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International Conference on Communications and Networking in China

ChinaCom 2018: Communications and Networking pp 353–362Cite as

Fairness-Based Distributed Resource Allocation in Cognitive Small Cell Networks

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Abstract

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.

This work is supported by the National Natural Science Foundation of China (NSFC) (61401053), and Innovation Project of the Common Key Technology of Chongqing Science and Technology Industry (Grant no. cstc2015zdcyztzx40008).

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Authors and Affiliations

  1. School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing, China

    Xiaoge Huang, Dongyu Zhang, She Tang & Qianbin Chen

Authors
  1. Xiaoge Huang
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  2. Dongyu Zhang
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  3. She Tang
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  4. Qianbin Chen
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Corresponding author

Correspondence to Xiaoge Huang .

Editor information

Editors and Affiliations

  1. School of Electronic Engineering, University of Electronic Science and Technology of China, Chengdu, Sichuan, China

    Xingang Liu

  2. University of Electronic Science and Technology of China, Chengdu, China

    Dai Cheng

  3. University of Electronic Science and Technology of China, Chengdu, China

    Lai Jinfeng

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

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Huang, X., Zhang, D., Tang, S., Chen, Q. (2019). Fairness-Based Distributed Resource Allocation in Cognitive Small Cell Networks. In: Liu, X., Cheng, D., Jinfeng, L. (eds) Communications and Networking. ChinaCom 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 262. Springer, Cham. https://doi.org/10.1007/978-3-030-06161-6_35

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  • DOI: https://doi.org/10.1007/978-3-030-06161-6_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-06160-9

  • Online ISBN: 978-3-030-06161-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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