DocumentCode :
2996018
Title :
Transmit beamforming to multiple co-channel multicast groups
Author :
Karipidis, Eleftherios ; Sidiropoulos, Nicholas D. ; Luo, Zhi-Quan
Author_Institution :
Dept. of Electron. & Comput. Eng., Tech. Univ. Crete, Chania, Greece
fYear :
2005
fDate :
13-15 Dec. 2005
Firstpage :
109
Lastpage :
112
Abstract :
The problem of transmits beamforming to multiple co-channel multicast groups is considered, from the viewpoint of guaranteeing a prescribed minimum signal-to-interference-plus-noise-ratio (SENR) at each receiver. The problem is a multicast generalization of the SENR-constrained multiuser downlink beamforming problem: the difference is that each transmitted stream is directed to multiple receivers, each with its own channel. Such generalization is relevant and timely, e.g., in the context of 802.16 wireless networks. Based on earlier results for a single multicast group, the joint problem is easily shown to be NP-hard, a fact that motivates the pursuit of quasi-optimal computationally efficient solutions. It is shown that Lagrangian relaxation coupled with a randomization/co-channel multicast power control loop yields a computationally efficient high-quality approximate solution. For a significant fraction of problem instances, the solutions generated this way are exactly optimal. Carefully designed and extensive simulation results are presented to support the main findings.
Keywords :
array signal processing; multicast communication; multiuser channels; power control; radio links; relaxation theory; telecommunication control; Lagrangian relaxation; NP-hard; multiple cochannel multicast groups; multiuser downlink beamforming problem; power control; signal-to-interference-plus-noise-ratio; transmit beamforming; Antenna arrays; Antennas and propagation; Array signal processing; Broadcasting; Downlink; Lagrangian functions; Receiving antennas; Signal to noise ratio; Transmitting antennas; Wireless networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computational Advances in Multi-Sensor Adaptive Processing, 2005 1st IEEE International Workshop on
Print_ISBN :
0-7803-9322-8
Type :
conf
DOI :
10.1109/CAMAP.2005.1574196
Filename :
1574196
Link To Document :
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