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In this paper, we develop an energy efficient resource allocation scheme fororthogonal frequency division multiple access (OFDMA) networks with in-bandfull-duplex (IBFD) communication between the base station and user equipments(UEs) considering a realistic self-interference (SI) model. Our primary aim isto maximize the system energy efficiency (EE) through a joint power control andsub-carrier assignment in both the downlink (DL) and uplink (UL), where thequality of service requirements of the UEs in DL and UL are guaranteed. Theformulated problem is non-convex due to the non-linear fractional objectivefunction and the non-convex feasible set which is generally intractable. Inorder to handle this difficulty, we first use fractional programming totransform the fractional objective function to the subtractive form. Then, byemploying Dinkelbach method, we propose an iterative algorithm in which aninner problem is solved in each iteration. Applying majorization-minimizationapproximation, we make the inner problem convex. Also, by introducing a penaltyfunction to handle integer sub-carrier assignment variables, we propose aniterative algorithm for addressing the inner problem. We show that our proposedalgorithm converges to the locally optimal solution which is also demonstratedby our simulation results. In addition, simulation results show that byapplying the IBFD capability in OFDMA networks with efficient SI cancellationtechniques, our proposed resource allocation algorithm attains a 75% increasein the EE as compared to the half-duplex system.

Energy Efficiency Maximization Via Joint Sub-Carrier Assignment and Power Control for OFDMA Full Duplex Networks