TY - GEN
T1 - Multicast beamforming with antenna selection
AU - Mehanna, Omar
AU - Sidiropoulos, Nicholas D.
AU - Giannakis, Georgios B
PY - 2012
Y1 - 2012
N2 - Multicast beamforming exploits subscriber channel state information at the base station to form multiple beams that steer radiated power towards users of interest, while minimizing leakage to other users and systems. Such functionality has been provisioned in the long-term evolution (LTE) enhanced multimedia broadcast multicast service (EMBMS). In this context, the present paper deals with joint multicast beamforming and antenna selection. Whereas this problem (and even plain multicast beamforming) is NP-hard, it is shown that using ℓ 1-norm squared (instead of ℓ 1-norm) as a surrogate for the ℓ 0-norm yields a natural semidefinite programming relaxation - something not obvious with the ℓ 1-norm. Simulations indicate that the proposed algorithm significantly reduces the number of antennas required to meet prescribed service levels, at a relatively small cost of excess transmission power. Furthermore, its performance is close to that attained by exhaustive search, at far lower complexity.
AB - Multicast beamforming exploits subscriber channel state information at the base station to form multiple beams that steer radiated power towards users of interest, while minimizing leakage to other users and systems. Such functionality has been provisioned in the long-term evolution (LTE) enhanced multimedia broadcast multicast service (EMBMS). In this context, the present paper deals with joint multicast beamforming and antenna selection. Whereas this problem (and even plain multicast beamforming) is NP-hard, it is shown that using ℓ 1-norm squared (instead of ℓ 1-norm) as a surrogate for the ℓ 0-norm yields a natural semidefinite programming relaxation - something not obvious with the ℓ 1-norm. Simulations indicate that the proposed algorithm significantly reduces the number of antennas required to meet prescribed service levels, at a relatively small cost of excess transmission power. Furthermore, its performance is close to that attained by exhaustive search, at far lower complexity.
UR - http://www.scopus.com/inward/record.url?scp=84868014112&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84868014112&partnerID=8YFLogxK
U2 - 10.1109/SPAWC.2012.6292982
DO - 10.1109/SPAWC.2012.6292982
M3 - Conference contribution
AN - SCOPUS:84868014112
SN - 9781467309714
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
SP - 70
EP - 74
BT - 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
T2 - 2012 IEEE 13th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2012
Y2 - 17 June 2012 through 20 June 2012
ER -