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Energy-efficient resource management for OFDM modulated bidirectional relaying with quality-of-service constraint
EURASIP Journal on Wireless Communications and Networking ( IF 2.6 ) Pub Date : 2021-06-10 , DOI: 10.1186/s13638-021-02012-3
Xiaodong Ji , Chong Qian , Chenhao Huang , Shu Ye

This paper addressed the energy-efficient resource management problem of an amplify-and-forward relay-assisted bidirectional relay system under a quality-of-service (QoS) constraint. The objective is to develop a holistic resource management algorithm for joint implementation of relay selection, power adaptation and bit-rate management for optimal energy efficiency (EE). A three-stage approach is proposed to solve the energy-efficient resource management problem. At stage 1 (stage of power management), a per-subcarrier energy-efficient problem is investigated, leading to a power adaptation algorithm for maximizing the system EE and ensuring the required level of the system QoS. Within the framework of the power adaptation algorithm and by exploiting spatial diversity of multiple-relay channels, distributed relay selection is investigated at stage 2 (stage of relay management). Next, the bit-rate management problem is tackled at stage 3, namely assigning bit rate to different subcarriers to maximize the system EE further. Finally, summarizing the results achieved at the three stages, a novel EE technology combined with relay selection, bit-rate management and power adaptation is developed. Simulation results validated the correctness and the efficiency of the proposed algorithm. It is shown that the proposed algorithm can significantly reduce the total transmit power of the system while ensuring the required system QoS.



中文翻译:

具有服务质量约束的 OFDM 调制双向中继的节能资源管理

本文解决了在服务质量 (QoS) 约束下放大转发中继辅助双向中继系统的节能资源管理问题。目标是开发一种整体资源管理算法,用于联合实施中继选择、功率自适应和比特率管理,以实现最佳能效 (EE)。提出了一种三阶段方法来解决节能资源管理问题。在阶段 1(功率管理阶段),研究了每个子载波的能效问题,从而产生了一种功率自适应算法,用于最大化系统 EE 并确保所需的系统 QoS 水平。在功率自适应算法的框架内,通过利用多中继信道的空间分集,分布式中继选择在第 2 阶段(中继管理阶段)进行研究。接下来,在第 3 阶段解决比特率管理问题,即将比特率分配给不同的子载波以进一步最大化系统 EE。最后,总结三个阶段取得的成果,开发了一种结合中继选择、比特率管理和功率自适应的新型 EE 技术。仿真结果验证了所提算法的正确性和有效性。结果表明,所提出的算法可以在保证所需的系统QoS的同时,显着降低系统的总发射功率。总结三个阶段取得的成果,开发了一种结合中继选择、比特率管理和功率自适应的新型 EE 技术。仿真结果验证了所提算法的正确性和有效性。结果表明,所提出的算法可以在保证所需的系统QoS的同时,显着降低系统的总发射功率。总结三个阶段取得的成果,开发了一种结合中继选择、比特率管理和功率自适应的新型 EE 技术。仿真结果验证了所提算法的正确性和有效性。结果表明,所提出的算法可以在保证所需的系统QoS的同时,显着降低系统的总发射功率。

更新日期:2021-06-11
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