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Efficient interference mitigation in mmWave backhaul network for high data rate 5G wireless communications

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Published
Publication date09/2016
Host publicationProceedings of the 12th International Conference on Wireless Communications, Networking and Mobile Computing (WiCOM2016)
Place of PublicationLondon
PublisherIET Press
Pages382-387
Number of pages6
ISBN (print)9781785612282
<mark>Original language</mark>English
Event12th International Conference on Wireless Communications, Networking and Mobile Computing - Xi'an, China
Duration: 25/09/2016 → 27/09/2016
http://www.wicom-meeting.org/2016/

Conference

Conference12th International Conference on Wireless Communications, Networking and Mobile Computing
Abbreviated titleWiCom 2016
Country/TerritoryChina
CityXi'an
Period25/09/16 → 27/09/16
Internet address

Conference

Conference12th International Conference on Wireless Communications, Networking and Mobile Computing
Abbreviated titleWiCom 2016
Country/TerritoryChina
CityXi'an
Period25/09/16 → 27/09/16
Internet address

Abstract

This paper investigates the performance of the W band millimeter wave (mmWave) backhaul network proposed by our EU TWEETHER project. We focus on the downlink transmission of the mmWave backhaul network, in which each of the hubs serves a cluster of base stations (BSs). In the considered backhaul network, available frequency resources are first allocated to the downlink links with the consideration of fairness issue. In order to mitigate interference in the mmWave backhaul network, each hub operates the proposed algorithm, namely cooperation and power adaptation (CPA). Our simulation results show that, the backhaul network with mmWave capabilities can achieve a significant better throughput performance than the sub-6 GHz ultra high frequency (UHF) backhaul network.
Furthermore, our simulations also reveal that the proposed CPA algorithm can efficiently combat interference in the backhaul network.