TY - JOUR
T1 - Minimum Error Pursuit Algorithm for Symbol Detection in MBM Massive-MIMO
AU - Datta, Arijit
AU - Mandloi, Manish
AU - Bhatia, Vimal
N1 - Funding Information:
Manuscript received July 29, 2020; revised September 12, 2020; accepted September 26, 2020. Date of publication October 6, 2020; date of current version February 11, 2021. This work was supported by the Visvesvaraya PhD Scheme of MeitY and the Start-up Research Grant : SRG/2019/000654 from SERB, Government of India. The associate editor coordinating the review of this letter and approving it for publication was J. Choi. (Corresponding author: Arijit Datta.) Arijit Datta and Vimal Bhatia are with the Discipline of EE, Indian Institute of Technology Indore, Indore 453552, India (e-mail: phd1601102003@iiti.ac.in; vbhatia@iiti.ac.in).
Funding Information:
ACKNOWLEDGMENT This publication is an outcome of the Research & Development work undertaken project under the Visvesvaraya Ph.D. Scheme of MeitY, Government of India, being implemented by Digital India Corporation. The authors would also like to acknowledge Start-up Research Grant: SRG/2019/000654 from Science & Engineering Research Board, Government of India.
Publisher Copyright:
© 1997-2012 IEEE.
PY - 2021/2
Y1 - 2021/2
N2 - Media-based modulation (MBM) with massive multiple-input multiple-output (mMIMO) wireless systems is a viable solution to realize the ever-increasing demand for high-speed data and extensive connectivity in beyond 5G and 6G wireless communications. MBM-mMIMO utilizes less transmit power and radio resources measured against mMIMO to yield high spectral efficiency and high data rate. However, symbol detection in the uplink of MBM-mMIMO is challenging due to the sparse nature of the received signal, and the cumulative effect of inter-user interference and noise. In this letter, support recovery error constraint-based low complexity sequential symbol detection technique is proposed for uplink MBM-mMIMO system. The proposed MBM-mMIMO detection technique exploits the upper bound on support recovery error and iteratively minimizes the residual error associated with the estimated transmit vector. A reduced message space is also introduced to further enrich the exploration capability of the proposed technique. Simulation results reveal the viability of proposed techniques over several state-of-The-Art MBM-mMIMO detection techniques as BER performance and computational complexity are concerned.
AB - Media-based modulation (MBM) with massive multiple-input multiple-output (mMIMO) wireless systems is a viable solution to realize the ever-increasing demand for high-speed data and extensive connectivity in beyond 5G and 6G wireless communications. MBM-mMIMO utilizes less transmit power and radio resources measured against mMIMO to yield high spectral efficiency and high data rate. However, symbol detection in the uplink of MBM-mMIMO is challenging due to the sparse nature of the received signal, and the cumulative effect of inter-user interference and noise. In this letter, support recovery error constraint-based low complexity sequential symbol detection technique is proposed for uplink MBM-mMIMO system. The proposed MBM-mMIMO detection technique exploits the upper bound on support recovery error and iteratively minimizes the residual error associated with the estimated transmit vector. A reduced message space is also introduced to further enrich the exploration capability of the proposed technique. Simulation results reveal the viability of proposed techniques over several state-of-The-Art MBM-mMIMO detection techniques as BER performance and computational complexity are concerned.
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U2 - 10.1109/LCOMM.2020.3029004
DO - 10.1109/LCOMM.2020.3029004
M3 - Article
AN - SCOPUS:85101431071
SN - 1089-7798
VL - 25
SP - 627
EP - 631
JO - IEEE Communications Letters
JF - IEEE Communications Letters
IS - 2
M1 - 9214508
ER -