Publication Type : Journal Article
Thematic Areas : Wireless Network and Application
Publisher : Wireless Personal Communications, Springer US
Source : Wireless Personal Communications, Springer US, Volume 90, Issue 3, p.1317–1329 (2016)
Url : https://link.springer.com/article/10.1007/s11277-016-3392-8
Campus : Coimbatore
School : School of Engineering
Center : Amrita Center for Wireless Networks and Applications (AmritaWNA), Electronics Communication and Instrumentation Forum (ECIF)
Department : Wireless Networks and Applications (AWNA), Electronics and Communication
Year : 2016
Abstract : Semidefinite relaxation detector is a promising approach to large-MIMO detection but for its computational complexity. The major computational cost is incurred in solving the semidefinite program (SDP). In this paper, we propose a sparse semidefinite relaxation (S-SDR) detector by reformulating the SDP problem thereby reducing the computational complexity. We formulate the system model using a sparse approach and further introduce a regularization term inducing sparsity into the semidefinite programming model. We provide a sparse formulation requiring approximately 50 % of the computations compared to the conventional semidefinite programming approach. We apply the proposed semidefinite relaxation detector in large-MIMO channels upto 100×100 systems and compare its BER performance and complexity. We observe that the BER performance is similar to the conventional semidefinite relaxation with the proposed S-SDR detector requiring relatively fewer computations.
Cite this Research Publication : Dr. Ramanathan R. and Dr. Jayakumar M., “A Low Complex Sparse Formulation of Semidefinite Relaxation Detector for Large-MIMO Systems Employing BPSK Constellations”, Wireless Personal Communications, vol. 90, no. 3, pp. 1317–1329, 2016.