Message-Passing Receiver for Joint Channel Estimation and Decoding in 3D Massive MIMO-OFDM Systems

摘要

In this paper, we address the message-passing receiver design for the 3Dmassive MIMO-OFDM systems. With the aid of the central limit argument andTaylor-series approximation, a computationally efficient receiver that performsjoint channel estimation and decoding is devised by the framework ofexpectation propagation. Specially, the local belief defined at the channeltransition function is expanded up to the second order with Wirtinger calculus,to transform the messages sent by the channel transition function to atractable form. As a result, the channel impulse response (CIR) between eachpair of antennas is estimated by Gaussian message passing. In addition, avariational expectation-maximization (EM)-based method is derived to learn thechannel power-delay-profile (PDP). The proposed joint algorithm is assessed in3D massive MIMO systems with spatially correlated channels, and the empiricalresults corroborate its superiority in terms of performance and complexity.