TY - GEN
T1 - Utility maximization for layered broadcast over Rayleigh fading channels
AU - Shaqfeh, Mohammad
AU - Mesbah, Wessam
AU - Alnuweiri, Hussein
PY - 2010
Y1 - 2010
N2 - In this paper we consider multicast systems that use layered source coding with successive refinement in a Rayleigh fading environment. For this kind of systems, we optimally allocate the transmission power, and hence the decoding threshold of each layer, in order to maximize the expected satisfaction defined by a utility function of the decoded rates of the users. In particular, we use the Lagrangian dual problem in order to efficiently solve the primal non-convex problem for any number of layers. Furthermore, we show that for some channel statistics, it is not optimal to transmit all the layers, rather we should allocate zero power to some of the upper layers in order to maximize the expected user satisfaction.
AB - In this paper we consider multicast systems that use layered source coding with successive refinement in a Rayleigh fading environment. For this kind of systems, we optimally allocate the transmission power, and hence the decoding threshold of each layer, in order to maximize the expected satisfaction defined by a utility function of the decoded rates of the users. In particular, we use the Lagrangian dual problem in order to efficiently solve the primal non-convex problem for any number of layers. Furthermore, we show that for some channel statistics, it is not optimal to transmit all the layers, rather we should allocate zero power to some of the upper layers in order to maximize the expected user satisfaction.
UR - https://www.scopus.com/pages/publications/77955355118
U2 - 10.1109/ICC.2010.5502085
DO - 10.1109/ICC.2010.5502085
M3 - Conference contribution
AN - SCOPUS:77955355118
SN - 9781424464043
T3 - IEEE International Conference on Communications
BT - 2010 IEEE International Conference on Communications, ICC 2010
ER -