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Energy-Efficient Resource Allocation for Ultra-Reliable and Low-Latency Communications

机译:超可靠和低延迟通信的节能资源分配

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Ultra-reliable and low-latency communications (URLLC) is expected to be supported without compromising the resource usage efficiency. In this paper, we study how to maximize energy efficiency (EE) for URLLC under the stringent quality of service (QoS) requirement imposed on the end-to-end (E2E) delay and overall packet loss, where the E2E delay includes queueing delay and transmission delay, and the overall packet loss consists of queueing delay violation, transmission error with finite blocklength channel codes, and proactive packet dropping in deep fading. Transmit power, bandwidth and number of active antennas are jointly optimized to maximize the system EE under the QoS constraints. Since the achievable rate with finite blocklength channel codes is not jointly concave in radio resources, it is challenging to optimize resource allocation. By analyzing the properties of the optimization problem, the global optimal solution is obtained. Simulation and numerical results validate the analysis and show that the proposed policy can improve EE significantly compared with existing policy.
机译:期望在不影响资源使用效率的情况下支持超可靠和低延迟通信(URLLC)。在本文中,我们研究了如何在端到端(E2E)延迟和整体数据包丢失(其中E2E延迟包括排队延迟)施加严格的服务质量(QoS)要求的情况下,最大化URLLC的能效(EE)以及传输延迟,总的数据包丢失包括排队延迟违规,具有有限块长信道码的传输错误以及深度衰落中的主动数据包丢弃。联合优化发射功率,带宽和有源天线数量,以在QoS约束下最大化系统EE。由于具有有限块长信道码的可达到的速率在无线电资源中不会共同降低,因此优化资源分配是一项挑战。通过分析优化问题的性质,获得了全局最优解。仿真和数值结果验证了该分析结果,表明所提出的策略与现有策略相比可以显着提高EE。

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