Abstract
Coordinated multipoint (CoMP) transmission/reception is a candidate technique for increasing cell-average and cell-edge throughputs in next-generation wireless systems. Joint processing (JP) is a branch of CoMP systems which can enhance the system performance, mainly by employing precoding algorithms based on CSIT. Many research efforts focus on reducing feedback and optimizing precoding with partial CSIT. In this chapter, the precoder design for MU-MIMO CoMP systems is discussed. First, some initial concepts are presented, such as the MIMO channel and some classical precoding techniques found in the literature. The availability of partial channel knowledge at the transmitter is studied in order to provide elements for precoder design. Since the nature of the wireless channel is random and time-varying, it is difficult and often expensive to obtain perfect CSIT. Thus, considering partial CSIT is valuable for practical applications. Two algorithms maximizing the first- and second-order approximations of the ergodic sum rate of a MU-MIMO CoMP system are presented. These algorithms consider, as partial CSIT, the channel mean and the spatial correlation among the antennas and show the potential of using statistical measurements of the channel for precoder design, instead of using full CSIT. The proposed algorithms are computationally simple, highly reduce feedback overheads, and have fast convergence. Simulation results show that the proposed algorithms are near-optimal compared to the iterative water-filling (optimal full CSIT) case and present only moderate and negligible sum rate losses for low and high SNR values, respectively.
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Sousa, L.M., Maciel, T.F., Cavalcante, C.C. (2014). Precoder Design for Coordinated Multipoint Systems. In: Cavalcanti, F. (eds) Resource Allocation and MIMO for 4G and Beyond. Springer, New York, NY. https://doi.org/10.1007/978-1-4614-8057-0_9
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