Resource allocation in multi-cell decode-and-forward relaying OFDMA cellular networks in the presence of multi-cell interference

This paper aims to formulate power and sub-channel allocation problem in a multi-cell Orthogonal Frequency Division Multiple Access (OFDMA) half-duplex decode-and-forward (DF) relay assisted network in the presence of multi-cell interference. This formulation takes into account multi-cell co-channel interference as one of the critical factors in multi-cell processing. The resulting non-convex optimization problem has been solved by dual decomposition and, an iterative resource allocation algorithm is proposed to find solutions which satisfy Karush-Kuhn-Tucker (KKT) conditions. Two resource allocation strategies based on centralized and distributed policy are derived which maximize the average system throughput (bit/sec/Hz). Simulation results show that the proposed algorithm approach the maximum achievable throughput in comparison with conventional algorithms and provides substantial performance gains compared to single-cell optimization.