Energy Efficient Resource Allocation in Multiuser DF Relay Interference Networks

In this paper, we develop a joint subcarrier (SC) pairing, subcarrier and power allocation algorithm for maximizing energy efficiency (EE) in the multiuser downlink decode-and-forward (DF) relay interference network. The energy efficiency of the network is maximized by adaptive selection of the transmission mode. Moreover, both direct- and relayed transmission from a base station (BS) and a relay node (RN) to an end-user is allowed to use the same subcarriers, simultaneously. The formulated optimization problem is the non-convex, fractional, mixed binary integer programming problem which is NP-hard to solve. Hence, a Successive Convex Approximation (SCA) method has been applied to approximate the problem by the series of equivalent convex problem. Finally, based on the Dinkelbach method, the iterative algorithm maximizing EE of the considered system has been proposed. Simulation results demonstrate the effectiveness of the proposed solution.