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Cooperative caching and coordinated beamforming technique for cognitive radio networks

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journal contribution
posted on 19.07.2021, 10:17 by Ashraf Bsebsu, Gan ZhengGan Zheng, Sangarapillai LambotharanSangarapillai Lambotharan
Scarcity of frequency spectrum is one of the main issues in wireless communications. Cognitive radio networks (CRNs) have been considered as an effective way of improving the spectrum efficiency by opportunistically using the spectrum resources through appropriate cooperation between primary and secondary networks. Exploitation of content caching in CRNs can enhance the system performance and reduce the backhaul cost and delay. In this paper, we propose a combined caching strategy and base station coordination in CRNs to achieve a proper balance between the signal cooperation gain and the content diversity gain. Depending on the availability and placement of the requested content, we propose a zero‐forcing coordinated beamforming technique to simultaneously transmit the most popular contents that are cached in every secondary base station and achieve the signal cooperation multiplexing gains, also we propose a maximum ratio transmission technique to deliver the less popular contents which are cached in different secondary base stations and achieve the caching diversity gain. Enumeration of the solution space search is used to obtain the optimal cache solution. Numerical results show that our proposed solution outperforms the cooperative caching and transmission solution proposed where only a maximum ratio transmission technique is used.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Published in

IET SIGNAL PROCESSING

Volume

15

Issue

7

Pages

449-458

Publisher

WILEY

Version

VoR (Version of Record)

Rights holder

© The authors

Publisher statement

This is an Open Access Article. It is published by Wiley under the Creative Commons Attribution 4.0 Unported Licence (CC BY). Full details of this licence are available at: http://creativecommons.org/licenses/by/4.0/

Acceptance date

07/04/2021

Publication date

2021-05-12

Copyright date

2021

eISSN

1751-9683

Language

en

Depositor

Dr Gan Zheng. Deposit date: 17 July 2021