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An Optimal Wireless Transmission Strategy based on Coherent Beamforming and Successive Interference Cancellation for Edge Computing
[发布时间:2020-12-19  阅读次数: 1418]

作者:Zhehao Li, Lei Shi, Yi Shi, Yuqi Fan, Zhenchun Wei, Liaoyuan Wu

发表刊物:MSN 2020

年份:Decemnber 2020

摘要:In general, edge devices and edge servers in edge computing environment communicate with each other by wireless network, which put forward a high requirement for end-to-end wireless communication performance. In this paper, we propose an optimal strategy by combining the coherent beamforming (CB) technique and the successive interference cancellation (SIC) technique for improving the performance of the edge device communications. CB technique can be used for expanding the transmitter’s transmitting range, while SIC technique can be used for improving the receiver’s receiving ability. However, when these two techniques are used jointly, interference will occur between transmitters and receivers, which makes the CB-SIC strategy hard to be designed. We first give the mathematical model based on CB-SIC and show it is difficult to solve directly. Then, we design a heuristic algorithm called time slot loop allocation (TSLA) algorithm. TSLA is based on greedy strategy to obtain an approximate optimal solution. By using TSLA, the whole scheduling time will be divided into many time slots. In each time slot, we try to make as many edge devices as possible to transmit data to the server. These can increase the overall data throughput. In simulation, we compare CB-SIC wireless network with CB only, SIC only, and traditional multi-hop network. Simulation results show that the TSLA algorithm can improve the end-to-end communication performance in edge computing environment.

参考文献拷贝字段:Zhehao Li, Lei Shi, Yi Shi, Yuqi Fan, Zhenchun Wei, Liaoyuan Wu. An Optimal Wireless Transmission Strategy based on Coherent Beamforming and Successive Interference Cancellation for Edge Computing. The 16th International Conference on Mobility, Sensing and Networking (MSN), Tokyo, Japan, Dec. 17-19, 2020: 779-784


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