Transmit Power Minimization for Two-Way Amplify-and-Forward Relaying With Asymmetric Traffic Requirements

Transmit Power Minimization for Two-Way Amplify-and-Forward Relaying With Asymmetric Traffic Requirements
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具有不对称流量要求的双向放大和转发中继的发射功率最小化

DOI:
10.1109/tvt.2016.2525763
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发表时间:
2016-02
影响因子:
6.8
通讯作者:
Massicotte Daniel
Massicotte Daniel
中科院分区:
计算机科学2区
文献类型:
--
作者:
Ji Xiaodong;Zhu Wei-Ping;Massicotte Daniel

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本文采用放大转发(AF)中继模式,研究具有非对称业务需求的双向中继系统在目标服务质量(QoS)约束下的功率最小化问题。通过将功率最小化问题转化为两阶段问题,并结合交通信息和短期信道知识,提出了一种最优功率控制(OPC)技术,得到了中继和源端单个发射功率的封闭解。然后,利用多中继信道的可用分集,研究了OPC和中继选择(RS)的联合设计,最终得到了一种联合功率控制和RS (JPCRS)算法,该算法具有两个分散的RS策略,以实现发射功率最小化。仿真结果验证了推导的表达式,并验证了所提策略的有效性。结果表明,本文提出的策略在保证系统目标QoS的前提下,显著降低了系统的发射功率;在任何流量和信道条件下,本文提出的RS算法在节能方面都优于传统的最大最小和最大和方法。
This paper addresses the power minimization problem subject to a target quality-of-service (QoS) constraint of two-way relay systems with asymmetric traffic requirements using an amplify-and-forward (AF) relaying mode. By transforming the power minimization problem into a two-stage problem and by using the traffic information together with the short-term channel knowledge, an optimum power control (OPC) technique is first proposed, leading to closed-form solutions for individual transmit power at the relay and the sources. Then, by making use of the available diversity of the multiple-relay channel, the joint design of OPC and relay selection (RS) is investigated, eventually resulting in a joint power control and RS (JPCRS) algorithm with two decentralized RS policies for transmit power minimization. Simulation results are provided to validate the derived expressions and confirm the efficiency of the proposed strategies. It is shown that our proposed strategies can significantly reduce the system transmit power, while ensuring the target QoS of the system, and that the proposed RS algorithm is superior to the conventional max-min and max-sum methods in any traffic and/or channel conditions in terms of energy saving.
具有单独功率约束的非对称双向放大和转发中继的自适应功率控制
DOI: 10.1109/tvt.2014.2317748
发表时间: 2014-04
影响因子: 6.8
作者:
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