TY - GEN
T1 - Constrained weighted sum rate maximization for multicast service in downlink OFDMA
AU - Hossain, Ekram
AU - Kim, Dong In
PY - 2012
Y1 - 2012
N2 - In this paper, we study the weighted sum rate (WSR) maximization methods for the multicast service in the downlink orthogonal frequency division multiple access (OFDMA) system. Based on Lagrange dual composition, we design several WSR maximization algorithms under both sum transmit power and per-subchannel transmit power constraints. Compared to available results for multicast resource allocation which were suboptimal or involved a large complexity, our methods are asymptotically optimal, stable, and have a low complexity. Three algorithms are developed, a duality method with only sum transmit power constraint, and two duality methods considering both sum transmit power and per-subchanneltrans-mit power constraints. Simulation results show that the proposed method converges very fast and always meets the power constraint strictly. Furthermore, in the case of the per-subchannel transmit power constraint, the improved duality scheme can bring significant performance gain than the conventional duality scheme.
AB - In this paper, we study the weighted sum rate (WSR) maximization methods for the multicast service in the downlink orthogonal frequency division multiple access (OFDMA) system. Based on Lagrange dual composition, we design several WSR maximization algorithms under both sum transmit power and per-subchannel transmit power constraints. Compared to available results for multicast resource allocation which were suboptimal or involved a large complexity, our methods are asymptotically optimal, stable, and have a low complexity. Three algorithms are developed, a duality method with only sum transmit power constraint, and two duality methods considering both sum transmit power and per-subchanneltrans-mit power constraints. Simulation results show that the proposed method converges very fast and always meets the power constraint strictly. Furthermore, in the case of the per-subchannel transmit power constraint, the improved duality scheme can bring significant performance gain than the conventional duality scheme.
KW - Cognitive radio
KW - Lagrange duality optimization
KW - Multicast service
KW - OFDMA
KW - Weighted sum rate maximization
UR - https://www.scopus.com/pages/publications/84860520074
U2 - 10.1145/2184751.2184897
DO - 10.1145/2184751.2184897
M3 - Conference contribution
AN - SCOPUS:84860520074
SN - 9781450311724
T3 - Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12
BT - Proceedings of the 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12
T2 - 6th International Conference on Ubiquitous Information Management and Communication, ICUIMC'12
Y2 - 20 February 2012 through 22 February 2012
ER -