PROJECT TITLE :

MVDR-Based Multicell Cooperative Beamforming Techniques for Unicast/Multicast MIMO Networks With Perfect/Imperfect CSI

ABSTRACT:

In this paper, we have a tendency to consider unicast/multicast multicell cooperative transmission with interference among users/user groups. During this context, we have a tendency to derive the optimal minimum variance distortionless response (MVDR)-primarily based successive minimum variance beamforming (SMVB) scheme that achieves a superior total-rate performance compared with the block diagonalization scheme. Subsequently, we have a tendency to derive an optimal joint power allocation and broadcast beamforming scheme for multicell cooperative broadcast transmission for a pooled power constraint at the base stations. This scheme is extended to incorporate per base station power constraints by formulating it as a relaxed semi-definite program (SDP). We have a tendency to also contemplate the multicell cooperative uplink situation and derive a successive multiuser (MU) uplink beamforming (SMUB) theme that maximizes the signal-to-interference-and-noise ratio (SINR) of every user. Next, we have a tendency to take into account imperfect channel state data (CSI) and derive a sturdy beamforming theme for the downlink, based on minimizing the worst-case interference by formulating it as a second-order cone program. It is demonstrated that the corresponding sturdy beamformer for the uplink transmission will be derived by using the multidimensional covariance fitting approach. Simulation results are presented to demonstrate the superior total-rate performance of the proposed multicell transmission schemes. The performance is also compared with several bounds for cooperative multicell scenarios.