| Multicast multigroup beamforming for per-antenna power constrained large-scale arrays |
| - |
| Christopoulos, Dimitrios  [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >] |
| Chatzinotas, Symeon [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >] |
| Ottersten, Björn [University of Luxembourg > Interdisciplinary Centre for Security, Reliability and Trust (SNT) >] |
| 2015 |
| IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC |
| Institute of Electrical and Electronics Engineers Inc. |
| 2015-August |
| 271-275 |
| Yes |
| International |
| 16th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2015 |
| 28 June 2015 through 1 July 2015 |
| [en] Large-scale Multicasting ; Successive Convex Approximation ; Antenna arrays ; Antennas ; Beamforming ; Constrained optimization ; Iterative methods ; Large scale systems ; Multicasting ; Network layers ; Optimization ; Signal processing ; Transmitters ; Wireless telecommunication systems ; Complex optimization problems ; Computationally efficient ; Multi-group multicasting ; Optimization variables ; Per-antenna power constraints ; Quadratically constrained quadratic problems ; Semidefinite relaxation ; Successive convex approximations ; Beam forming networks |
| [en] Large in the number of transmit elements, multi-antenna arrays with per-element limitations are in the focus of the present work. In this context, physical layer multigroup multicasting under per-antenna power constrains, is investigated herein. To address this complex optimization problem low-complexity alternatives to semi-definite relaxation are proposed. The goal is to optimize the per-antenna power constrained transmitter in a maximum fairness sense, which is formulated as a non-convex quadratically constrained quadratic problem. Therefore, the recently developed tool of feasible point pursuit and successive convex approximation is extended to account for practical per-antenna power constraints. Interestingly, the novel iterative method exhibits not only superior performance in terms of approaching the relaxed upper bound but also a significant complexity reduction, as the dimensions of the optimization variables increase. Consequently, multicast multigroup beamforming for large-scale array transmitters with per-antenna dedicated amplifiers is rendered computationally efficient and accurate. A preliminary performance evaluation in large-scale systems for which the semi-definite relaxation constantly yields non rank-1 solutions is presented. © 2015 IEEE. |
| ACCESS;Ericsson;Qamcom |
| http://hdl.handle.net/10993/26319 |
| 10.1109/SPAWC.2015.7227042 |
| 117275
9781479919307 |
