Multiple Resource Allocation in OFDMA Downlink Networks: End-to-End Energy-Efficient Approach

For energy-efficient (EE) resource allocation, only limited work has considered end-to-end energy consumption. In this paper, a novel EE resource allocation algorithm is proposed for orthogonal frequency division multiple access (OFDMA) downlink networks, where both transmitter energy consumption (base station (BS) transmission and BS circuit energy consumption) and receiver energy consumption (user equipment (UE) circuit energy consumption) are taken into account. The time slot, subchannel (frequency) and power allocation policies are joint considered to optimize system energy efficiency. In addition, different quality of service (QoS) requirements including minimum-rate guarantee service and best effort service are supported in our considering system. With all these considerations, the EE resource allocation problem is formulated as a mixed combinatorial and non-convex optimization problem, which is extremely difficult to solve. To obtain a desirable solution with a reasonable computation cost, an algorithm based on quantum-behaved particle swarm optimization (QPSO) is proposed. Finally, extensive simulation results are presented to validate the effectiveness of the proposed algorithm.