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Joint User Activity Detection, Channel Estimation, and Decoding for Multiuser/Multiantenna OFDM Systems | IEEE Journals & Magazine | IEEE Xplore

Joint User Activity Detection, Channel Estimation, and Decoding for Multiuser/Multiantenna OFDM Systems


Abstract:

We propose a Bayesian framework for the problem of multiuser dectection in the context of an unknown and time-varying number of active users. In this paper, we combine or...Show More

Abstract:

We propose a Bayesian framework for the problem of multiuser dectection in the context of an unknown and time-varying number of active users. In this paper, we combine orthogonal frequency-division multiplexing modulation with multiantenna reception to mitigate both the asynchronism and frequency-selectivity of the wireless medium. We develop a method for user identity and data detection with joint channel parameter estimation, performed on a per-OFDM block basis to account for a highly dynamic random-access channel. Based on a factor graph approach, we derive an inference algorithm based on message-passing resulting in an iterative code-aided receiver. We show that a suitable Gaussian approximation leads to a complexity that increases only linearly with the maximum number of users. Computer simulations show that the proposed iterative receiver has a low probability of erroneous activity detection, while maintaining a high antenna diversity order for active users.
Published in: IEEE Transactions on Vehicular Technology ( Volume: 67, Issue: 9, September 2018)
Page(s): 8263 - 8275
Date of Publication: 28 May 2018

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