Massive MIMO exploitation to reduce HARQ delay in wireless communication system

Nidal Zarifeh, A. Kabbani, M. El-Absi, T. Kreul, T. Kaiser
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引用次数: 3

Abstract

As recommended by 5th generation Public-Private Partnership (5G-PPP) and Next Generation Mobile Networks (NGMN), one of the most important 5G requirements is to minimize the delay within the network for delay-sensitive services. Main objective of this work is to exploit massive MIMO technology to reduce Hybrid Automatic Repeat Query (HARQ) retransmission delay. Massive MIMO indoor environment is created by a 3D ray-tracing tool to simulate the received power, phase, delay, and angle of arrival of each ray in the channel. Two sizes of rectangular antenna array are used to evaluate the performance of beamforming in enhancing the bit error rate. This reflects directly on the mean and maximum numbers of packet retransmission. The angle between user-equipments is considered to evaluate the effect of inter-user interference on HARQ. This work opens the door to develop smarter resource allocation algorithms in 5G for delay-sensitive services based on the location and the angle of arrival of the users.
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利用大规模MIMO减少无线通信系统中HARQ时延
根据第五代公私合作伙伴关系(5G- ppp)和下一代移动网络(NGMN)的建议,5G最重要的要求之一是尽量减少网络内的延迟,以实现延迟敏感业务。本研究的主要目标是利用大规模MIMO技术来降低混合自动重复查询(HARQ)重传延迟。大规模MIMO室内环境由3D光线追踪工具创建,以模拟通道中每条光线的接收功率、相位、延迟和到达角度。采用两种尺寸的矩形天线阵列,对波束成形在提高误码率方面的性能进行了评价。这直接反映在数据包重传的平均值和最大值上。考虑用户与设备之间的夹角来评估用户间干扰对HARQ的影响。这项工作为开发基于用户位置和到达角度的延迟敏感服务的5G智能资源分配算法打开了大门。
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