Cluster-based Resource Allocation with Adaptive CoMP in Multi-cell MU-MIMO OFDMA System

In this paper, we investigate the problem of joint base station (BS) and user equipment (UE) clustering, sub-carrier and power allocation in multi-cell multi-user multiple-input multiple-output (MU-MIMO) orthogonal frequency division multiple access (OFDMA) system with the aim of maximizing the system sum rate while minimizing the number of BSs to serve each UE. We propose a dynamic clustering with adaptive coordinated multi-point (CoMP) algorithm (DCAC), to form BS and UE clusters which adapt to the channel state information (CSI) and quality of service (QoS) requirement. For a specified BS and UE cluster set, the optimization problem is transformed into a cluster-based cross-layer resource allocation problem with the aim of maximizing the system capacity. It is solved by the subgradient method for the dual problem. Numerical results show that the sub gradient method converges quickly and the proposed DCAC method achieves significant sum rate improvement when compared with the fixed CoMP scheme.