Lee Kisong
Department of Information and Communication Engineering, Dongguk University, Seoul 04620, Korea.
Sensors (Basel). 2021 Apr 8;21(8):2606. doi: 10.3390/s21082606.
To address the limitations of centralized resource allocation, i.e., high computational complexity and signaling overhead, a distributed beamforming and power allocation strategy is proposed for heterogeneous networks with multiple-input-single-output (MISO) interference channels. In the proposed scheme, each secondary user transceiver pair (SU TP) determines the beamforming vector and transmits power to maximize its own spectral efficiency (SE) while keeping the interference to the primary user below a predetermined threshold, and such resource management for each SU TP is updated iteratively without any information sharing until the strategies for all SU TPs converge. The simulation confirms that the proposed scheme can achieve a performance comparable to that of a centralized approach with a much lower computation time, e.g., less than 5% degradation in SE while improving computation time by more than 10 times.
为了解决集中式资源分配的局限性，即高计算复杂度和信令开销，针对具有多输入单输出（MISO）干扰信道的异构网络，提出了一种分布式波束成形和功率分配策略。在所提出的方案中，每个次用户收发器对（SU TP）确定波束成形向量并传输功率，以在将对主用户的干扰保持在预定阈值以下的同时最大化其自身的频谱效率（SE），并且每个SU TP的这种资源管理在不进行任何信息共享的情况下进行迭代更新，直到所有SU TP的策略收敛。仿真证实，所提出的方案能够以低得多的计算时间实现与集中式方法相当的性能，例如，在SE方面的降级小于5%，同时将计算时间提高10倍以上。
