Title :
Efficient power control algorithms for V-BLAST system with per-antenna power constraints
Author :
Wang, Kun ; Zhang, Xianda ; Dai, Linglong
Author_Institution :
Dept. of Autom., Tsinghua Univ., Beijing, China
Abstract :
In this paper, three novel efficient power control algorithms are proposed for V-BLAST system with both total power constraint (TPC) and per-antenna power constraints (PAPC). Through analysis of the Karush-Kuhn-Tucker (KKT) conditions of the optimization problem, we find out that the antennas with the optimal power control can be divided into two sets. The optimal allocated power (OAP) of each antenna in the first set is its per-antenna power constraint, and the OAPs of the antennas in the second set can be obtained easily through a new optimization problem with TPC only. Based on the above analysis, three novel efficient power allocation algorithms are developed, which have much lower computational complexities compared with the existing dual update method. Simulation results are presented to demonstrate the efficiency of the proposed power control schemes.
Keywords :
MIMO communication; antennas; optimal control; optimisation; power control; telecommunication control; KKT conditions; Karush-Kuhn-Tucker conditions; OAP; PAPC; TPC; V-BLAST system; optimal allocated power; optimal power control; optimization problem; per-antenna power constraints; total power constraint; vertical Bell Laboratories layered space-time system; Algorithm design and analysis; Antennas; Bit error rate; Complexity theory; Power control; Receivers; Resource management; Low complexity; Per-antenna power constraints; Power control; V-BLAST;
Conference_Titel :
Wireless Communications and Networking Conference (WCNC), 2012 IEEE
Conference_Location :
Shanghai
Print_ISBN :
978-1-4673-0436-8
DOI :
10.1109/WCNC.2012.6214084