DefinePK

Abstract

In this article, we investigate energy efficient power control for the uplink of an OFDMA (Orthogonal Frequency-Division Multiple Access) single-cell communication System. We assume that the user equipments decide freely their power level on the available subcarriers of the system in order to maximize their individual Energy Efficiency (EE) while respecting minimum normalized rate requirements to guarantee a certain Quality of Service (QoS). We use the non-cooperative Game theory to demonstrate that users will end by learning the equilibrium. The solution of the Game is given as a water-filling like power allocation. Furthermore, we implement a distributed power allocation scheme using two ways: a) Fractional Programming techniques: an existing Algorithm for power allocation b) A closed form expression: our proposed algorithm for power allocation. Simulations show that the proposed algorithm performs better in terms of Spectral Efficiency (SE) even though it has less EE than the reference algorithm.