MMSE-optimal sequential processing for cell-free massive MIMO with radio stripes
Dec 20, 2021·
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1 min read
Zakir Hussain Shaik
Emil Björnson
Erik G. Larsson
Abstract
Cell-free massive multiple-input-multiple-output (mMIMO) is an emerging technology for beyond 5G with its promising features such as higher spectral efficiency and superior spatial diversity as compared to conventional multiple-input-multiple-output (MIMO) technology. The main working principle of cell-free mMIMO is that many distributed access points (APs) cooperate simultaneously to serve all the users within the network without creating cell boundaries. This paper considers the uplink of a cell-free mMIMO system utilizing the radio stripe network architecture with a sequential fronthaul between the APs. A novel uplink sequential processing algorithm is developed, which is proved to be optimal in both the maximum spectral efficiency (SE) and the minimum mean square error (MSE) sense. A detailed quantitative analysis of the fronthaul requirement or signaling of the proposed algorithm and its comparison with competing sub-optimal algorithms is provided. Based on the analytical and numerical simulation results, we conclude that the proposed scheme can significantly reduce the fronthaul signaling, without compromising the communication performance.
Type
Publication
IEEE Transactions on Communications
This is a key journal publication on optimal signal processing for cell-free massive MIMO systems. The paper proposes algorithms that minimize mean square error while reducing fronthaul signaling requirements. Both the peer-reviewed version and preprint are available via the links above.
