This paper considers coordinated linear precoding in downlink multicell multiuser orthogonal frequency-division multiple access (OFDMA) network. A less-complex, fast and provably convergent algorithm that maximizes the weighted sum-rate with per base station (BS) transmit power constraint is formulated. We approximate the nonconvex weighted sum- rate maximization (WSRM) problem with a solvable convex form by means of sequential parametric convex approximation (SPCA) approach. The second order cone program (SOCP) formulations of the objective function and constraints of the optimization problem are derived through proper change of vari- ables, first order linear approximation and hyperbolic constraints transformation, etc. The algorithm converges to the suboptimal solution taking fewer number of iterations in comparison to other known iterative WSRM algorithms. Finally, numerical results are presented to justify the effectiveness and superiority of the proposed algorithm.
Joint Transmit and Receive Beamforming for Multi-Relay MIMO-OFDMA Cellular Networks
针对多用户、多中继、多输入-多输出正交频分多址(MIMO-OFDMA)蜂窝网络,提出了一种基于联合发射和接收波束赋形的传输协议。更具体地说,网络的MIMO信道在数学上被分解成几个有效的多输入单输出(MISO)信道,这些信道被空间复用以进行传输。为了提高可达到的容量,这些MISO信道使用一对新的分组算法进行分组,然后根据它们的性能与复杂度的权衡\footnote{This paper concisely focuses on the transmission protocol proposed in our previous work [1]. For more details, please refer to [1].}进行评估。
Weighted Sum-Rate Enhancement for Flexible Intelligent Metasurface-Assisted Multicell Systems
University of Electronic Science and Technology of China (UESTC)(电子科技大学);Yibin Institute of UESTC(电子科技大学宜宾研究院);Stevens Institute of Technology(史蒂文斯理工学院);University of Texas at Dallas(德克萨斯大学达拉斯分校);Aristotle University of Thessaloniki(塞萨洛尼基亚里士多德大学);Queen Mary University of London(伦敦大学玛丽女王学院)