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Energy-Efficient Scheduling and Resource Allocation in Uplink OFDMA Systems

Energy efficiency (EE) is an important objective in uplink wireless communications due to the limited capacity of batteries in user equipment (UE). In this letter, we propose a scheduling metric to balance the tradeoff between EE and fairness. We consider the scenario in which the access point (AP) serves a subset of UEs when available resources cannot support all of the UEs' quality-of-service (QoS) requirements. Based on the scheduling metric, we propose a suboptimal joint scheduling and resource allocation algorithm that maximizes the system EE. Simulation results show that the proposed algorithm can achieve a good tradeoff between the system EE and fairness.