Title :
Long-Term Transmit Beamforming for Wireless Multicasting
Author_Institution :
Lucent Technol. Bell Labs, Holmdel, NJ
Abstract :
This paper presents a low-complexity iterative algorithm for long-term transmit beamforming in multicast channels. Since it relies only on antenna correlations at the base station, the algorithm requires only infrequent feedback from the users. Multiantenna receivers are not required, but they are transparently accommodated. Simulation results within the context of the UMTS long-term evolution system indicate that, with half-wavelength antenna spacings and a typical power azimuth spectrum, the performance is close to optimal. The specific gains (in average SINR) then depend on the number of transmit antennas and the number of active users.
Keywords :
3G mobile communication; antenna arrays; iterative methods; multicast communication; wireless channels; SINR; UMTS; antenna correlations; base station; half-wavelength antenna spacings; long-term evolution system; long-term transmit beamforming; low-complexity iterative algorithm; multiantenna receivers; multicast channels; typical power azimuth spectrum; wireless multicasting; 3G mobile communication; Antenna feeds; Array signal processing; Azimuth; Base stations; Context modeling; Feedback; Iterative algorithms; Multicast algorithms; Signal to noise ratio; Array signal processing; adaptive arrays; beam steering; mobile communication; multicast channels;
Conference_Titel :
Acoustics, Speech and Signal Processing, 2007. ICASSP 2007. IEEE International Conference on
Conference_Location :
Honolulu, HI
Print_ISBN :
1-4244-0727-3
Electronic_ISBN :
1520-6149
DOI :
10.1109/ICASSP.2007.366561