Abstract
This letter considers the data detection problem in symmetric massive multiuser multiple-input-multiple-output (MU-MIMO) uplink systems, in which the number of base station (BS) antennas is equal to the number of single-antenna users. However, under uplink-heavy traffic, the conventional linear minimum mean-square-error (LMMSE)-based detectors suffer significant performance loss and thus cannot be applied. Although a detector based on Riemannian manifold optimization (RMO) provides excellent bit error rate (BER) performance that remarkably outperforms the LMMSE detector, it incurs high time complexity. Moreover, the computational complexity remains high. Thus, a simple yet computationally efficient detector based on the projected gradient descent algorithm is proposed in this letter to reduce the computational time and complexity of the detection algorithm while achieving the same BER performance as the RMO-based detector. Simulation results demonstrate that the proposed algorithm nearly yields the same performance as the RMO at low computational complexity, but the run-time complexity is considerably reduced.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
