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has been cited by the following article:

• TITLE: Efficient Interference Mitigation in mmWave Backhaul Network for High Data Rate 5G Wireless Communications

  AUTHORS: Jia Shi, Qiang Ni, Claudio Paoloni, Francois Magne

  KEYWORDS: mmWave Communication, Backhauling, Interference Mitigation

  JOURNAL NAME: International Journal of Communications, Network and System Sciences, Vol.10 No.5B, May 26, 2017

  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.