for Multiuser MIMO-OFDM Systems with CoMP

In this paper, we propose two efficient and practical resource allocation algorithms to maximize the weighted sum- rate of coordinated multipoint (CoMP) transmission with joint processing in multiuser multiple-input multiple-output (MIMO) orthogonal frequency-division multiplexing (OFDM) systems subject to per-antenna power constraints. We first propose a continuous-rate algorithm that utilizes successive convex approx- imation (SCA) to dynamically allocate the transmit powers of multiple CoMP base stations (BSs) transmitting to multiple co- channel user terminals (UTs). Next, we propose a discrete-rate algorithm that takes the continuous-rate result as a starting point and redistributes the transmit powers to obtain a discrete solution. Simulation results are provided to benchmark our continuous-rate algorithm with two alternative approaches: itera- tive waterfilling (IWF), and zero-forcing beamforming (ZFB). Re- sults show that SCA provides significant sum-rate improvements over IWF in medium to high interference scenarios, and outper- forms ZFB in low to medium interference scenarios. Moreover, our proposed discrete rate algorithm produces a higher discrete sum-rate with much lower computational complexity compared to existing algorithms.