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首页> 外文期刊>IEEE transactions on wireless communications >Joint Tx/Rx Energy-Efficient Scheduling in Multi-Radio Wireless Networks: A Divide-and-Conquer Approach
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Joint Tx/Rx Energy-Efficient Scheduling in Multi-Radio Wireless Networks: A Divide-and-Conquer Approach

机译:多无线电无线网络中的联合Tx / Rx节能调度:分而治之

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摘要

Most of the existing works on energy-efficient wireless communications only consider the transmitter (Tx) or the receiver (Rx) side power consumption, but not both. Moreover, the circuit power consumption is often assumed to be constant regardless of the transmission rate or the bandwidth. In this paper, we investigate the system-level energy-efficient transmission in multi-radio access networks by considering joint Tx and Rx power consumption and adopting link-dependent dynamic circuit power model. A combinatorial-type optimization problem for user scheduling, radio-link activation, and power control is formulated with the objective of maximizing joint Tx and Rx energy efficiency (EE). We tackle this problem using a divide-and-conquer approach. Specifically, the concepts of link EE and user EE are first introduced, which have structures similar to the system EE. Then, we explore their hierarchical relationships and propose an optimal algorithm whose complexity is linear in the product of the total number of users and radio links. Furthermore, we investigate the EE maximization problem with minimum user data rate constraints. The divide-and-conquer approach is also applied to find a sub-optimal but efficient solution. Finally, comprehensive numerical results are provided to validate the theoretical findings and demonstrate the effectiveness of the proposed algorithms.
机译:现有的有关节能无线通信的大多数工作都只考虑了发送器(Tx)或接收器(Rx)端的功耗,但没有同时考虑两者。此外,经常假设电路功耗是恒定的,而不管传输速率或带宽如何。在本文中,我们通过考虑Tx和Rx的联合功耗并采用与链路有关的动态电路功率模型,研究了多无线电接入网络中的系统级节能传输。提出了一种用于用户调度,无线电链路激活和功率控制的组合型优化问题,目的是最大化联合Tx和Rx能量效率(EE)。我们使用分而治之的方法解决了这个问题。具体来说,首先介绍链接EE和用户EE的概念,它们的结构类似于系统EE。然后,我们探索它们的层次关系,并提出一种最优算法,该算法的复杂度在用户和无线电链路总数的乘积中呈线性关系。此外,我们研究了具有最小用户数据速率约束的EE最大化问题。分而治之的方法也适用于寻找次优但有效的解决方案。最后,提供了综合的数值结果以验证理论结果并证明所提出算法的有效性。

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