Interference-Aware Based Resource Configuration Optimization for URLLC Grant-Free Transmission

Xiao Zhang, Tao Peng, Yichen Guo, Wenbo Wang
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Abstract

The fifth-generation (5G) wireless network is expected to support emerging applications requiring ultra high reliability and low latency, such as self-driving cars, factory automation (industry 4.0), and smart grid, known as ultra-reliable and low-latency communications (URLLC). Uplink grant-free (GF) transmission is considered as a promising technology for supporting the rigorous requirements of URLLC by saving the time of requesting/waiting for the scheduling grant and supporting the K-repetition transmission. Besides, the intercell interference (ICI) in uplink multi-cell GF transmission is another critical issue to be solved. In this paper, we propose an interference-aware based radio resource configuration framework of URLLC uplink GF transmission which means that we can configure the radio resources by utilizing the available interference information to mitigate the impact of severe ICI on the transmission performance in URLLC. Numerical results show that, the proposed scheme can greatly improve the total transmission reliability and has higher scalability and robustness compared to prior art solutions under the condition of satisfying the transmission delay requirement and resource constraint.
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基于干扰感知的URLLC免授权传输资源配置优化
预计第五代(5G)无线网络将支持需要超高可靠性和低延迟的新兴应用,如自动驾驶汽车、工厂自动化(工业4.0)和智能电网,即超可靠和低延迟通信(URLLC)。GF (Uplink grant-free)传输由于节省了请求/等待调度授权的时间和支持k - repeat传输,被认为是一种很有前途的技术,可以支持URLLC的严格要求。此外,上行多小区GF传输中的小区间干扰(ICI)也是需要解决的关键问题。本文提出了一种基于干扰感知的URLLC上行GF传输无线电资源配置框架,利用可用的干扰信息配置无线电资源,以减轻URLLC中严重的ICI对传输性能的影响。数值结果表明,在满足传输时延要求和资源约束的情况下,与现有技术方案相比,所提出的方案大大提高了总传输可靠性,具有更高的可扩展性和鲁棒性。
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