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.

Highlights

  • Traditional microwave based cellular networks are facing more and more challenges due to the exponential growth of data traffic

  • This paper investigates the performance of the W band millimeter wave backhaul network proposed by our EU TWEETHER project

  • We focus on the downlink transmission of the millimeter wave (mmWave) backhaul network, in which each of the hubs serves a cluster of base stations (BSs)

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Summary

Introduction

Traditional microwave based cellular networks are facing more and more challenges due to the exponential growth of data traffic. MmWave small cell networks have been thought of as a promising approach to boost the coverage and rate of future cellular networks [1]. Massive MIMO aided mmWave backhaul network has been addressed in [8], where the hybrid preceding and combining scheme is proposed Against this background, in this paper, we investigate the performance of the W band mmWave backhaul network proposed by our EU TWEETHER project [9] [10]. In order to mitigate interference in the mmWave backhaul network, each hub operates the proposed algorithm, namely cooperation and power adaptation (CPA).

System Models
Subband Allocation
Interference Mitigation
Performance Results
Conclusion
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