WCSP 2023, 15th International Conference on Wireless Communications and Signal Processing, 2-4 November 2023, Hangzhou, China
In this paper, we propose an information geometry approach (IGA) for signal detection in ultra-massive multipleinput multiple-output (MIMO) systems. We formulate the signal
detection as obtaining the marginals of the a posteriori probability distribution of the transmitted symbol vector. Then, a maximization of the a posteriori marginals (MPM) for signal detection can be performed. With the information geometry theory, we calculate the approximations of the a posteriori marginals. It is formulated as an iterative m-projection process. We then apply the central-limit-theorem (CLT) to simplify the calculation of the m-projection since the direct calculation of the m-projection is of exponential-complexity. With the CLT, we obtain an approximate solution of the m-projection, which is asymptotically accurate. Simulation results demonstrate that the proposed IGA is a promising and efficient method to implement the signal detector in ultra-massive MIMO systems.
Type:
Conférence
City:
Hangzhou
Date:
2023-11-02
Department:
Systèmes de Communication
Eurecom Ref:
7499
Copyright:
© 2023 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.
See also:
