Novel Intercell Interference Mitigation Algorithms for Multicell OFDMA Systems With Limited Base Station Cooperation
Abstract: Resource allocation in multicell downlink orthogonal frequency division multiplemultiple access (OFDMA) systems is investigated, where base stations (BSs) first independently carry out subcarrier allocation and then mitigate intercell interference (InterCI) with the aid of very limited BS cooper cooperation. ation. Two novel InterCI mitigation algorithms are proposed. The first one is the distributed decision making assisted cooperation (DDMC) algorithm, and the second one is the centralized decision making assisted cooperation (CDMC) algorithm. When employing the DDMC algorithm, each BS independently makes the InterCI mitigation decisions (IMDs). By contrast, when employing the CDMC algorithm, the centralized IMDs are made with the aid of the cell cell-edge edge users' discrete InterCI information sharing among BSs. Whi While le both algorithms motivate maximization of the spectral efficiency (sum rate), the CDMC algorithm also aims to maximize the frequency reuse factor. In this paper, we study and compare the performance, including spectral efficiency of cell cell-edge users, frequency uency reuse factor, and overhead, of the multicell downlink OFDMA systems employing the proposed and other InterCI mitigation algorithms. Our studies show that both the DDMC and CDMC algorithms can achieve better spectral efficiency performance than the existing on-off off power (OOP) algorithm. Moreover, the CDMC algorithm is capable of achieving performance close to the upper bound attained by the so-called so full