Minimum Error Pursuit Algorithm for Symbol Detection in MBM Massive-MIMO

Arijit Datta, Manish Mandloi, Vimal Bhatia

Research output: Contribution to journalArticlepeer-review

3 Citations (Scopus)


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.

Original languageEnglish
Article number9214508
Pages (from-to)627-631
Number of pages5
JournalIEEE Communications Letters
Issue number2
Publication statusPublished - 02-2021

All Science Journal Classification (ASJC) codes

  • Modelling and Simulation
  • Computer Science Applications
  • Electrical and Electronic Engineering


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