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This paper aims to solve the energy efficiency (EE) maximization problem formulticast services in a multiple-input single-output (MISO) distributed antennasystem (DAS). A novel iterative algorithm is proposed, which consists ofsolving two subproblems iteratively: the power allocation problem and the beamdirection updating problem. The former subproblem can be equivalentlytransformed into a one-dimension quasi-concave problem that is solved by thegolden search method. The latter problem can be efficiently solved by theexisting method. Simulation results show that the proposed algorithm achievessignificant EE performance gains over the existing rate maximization method. Inaddition, when the backhaul power consumption is low, the EE performance of theDAS is better than that of the centralized antenna system (CAS).

Energy Efficient Transmission for Multicast Services in MISO Distributed Antenna Systems