Nguyen Kien-Giang, Tervo Oskari, Vu Quang-Doanh, Tran Le-Nam, Juntti Markku
1Centre for Wireless Communications, University of Oulu, Oulu, P.O. Box 4500, FI-90014 Finland.
2School of Electrical and Electronic Engineering, University College Dublin, Dublin, Ireland.
EURASIP J Wirel Commun Netw. 2018;2018(1):207. doi: 10.1186/s13638-018-1214-2. Epub 2018 Aug 20.
This paper focuses on energy-efficient coordinated multi-point (CoMP) downlink in multi-antenna multi-cell wireless communications systems. We provide an overview of transmit beamforming designs for various energy efficiency (EE) metrics including maximizing the overall network EE, sum weighted EE, and fairness EE. Generally, an EE optimization problem is a nonconvex program for which finding the globally optimal solutions requires high computational effort. Consequently, several low-complexity suboptimal approaches have been proposed. Here, we sum up the main concepts of the recently proposed algorithms based on the state-of-the-art successive convex approximation (SCA) framework. Moreover, we discuss the application to the newly posted EE problems including new EE metrics and power consumption models. Furthermore, distributed implementation developed based on alternating direction method of multipliers (ADMM) for the provided solutions is also discussed. For the sake of completeness, we provide numerical comparison of the SCA based approaches and the conventional solutions developed based on parametric transformations (PTs). We also demonstrate the differences and roles of different EE objectives and power consumption models.
本文聚焦于多天线多小区无线通信系统中的节能协作多点（CoMP）下行链路。我们概述了针对各种能量效率（EE）指标的发射波束成形设计，包括最大化整体网络EE、加权和EE以及公平性EE。一般来说，EE优化问题是一个非凸规划，找到全局最优解需要很高的计算量。因此，已经提出了几种低复杂度的次优方法。在此，我们总结基于最新逐次凸逼近（SCA）框架的近期提出算法的主要概念。此外，我们讨论其在新提出的EE问题中的应用，包括新的EE指标和功耗模型。此外，还讨论了基于乘子交替方向法（ADMM）为所提供解决方案开发的分布式实现。为了完整性，我们提供了基于SCA的方法与基于参数变换（PTs）开发的传统解决方案的数值比较。我们还展示了不同EE目标和功耗模型的差异及作用。
