Transmission strategies for MIMO channels with processing and transmit power constraints

In this paper, we develop transmission schemes that maximize the spatial multiplexing rate in multiple-input multiple-output (MIMO) systems with a constraint on the total transmit and processing power. The proposed transmission strategy uses a combination of antenna selection with a bursty transmission strategy to achieve increased rate when complete channel state information is available at the transmitter. We also develop an algorithm, based on dynamic programming, to determine the optimal combinations of antenna configurations and their fractional transmission durations. For a MIMO system with partial channel state information at transmitter (CSIT), we design a feedback scheme, where the information of both the antenna configuration and the precoding matrix is sent to the transmitter. We also provide a heuristic method to design the codebook that sends back antenna configuration information to the transmitter. Numerical results indicate that significant improvements in rate are obtained with the proposed strategy over a traditional precoder feedback strategy.