Large intelligent surface-assisted nonorthogonal multiple access for 6G networks: Performance analysis

Lina Bariah, Sami Muhaidat, Paschalis C. Sofotasios, Faissal El Bouanani, Octavia A. Dobre, Walaa Hamouda

Research output: Contribution to journalArticlepeer-review

31 Scopus citations

Abstract

Large intelligent surface (LIS) has recently emerged as a potential enabling technology for 6G networks, offering extended coverage and enhanced energy and spectral efficiency. In this work, motivated by its promising potentials, we investigate the error rate performance of LIS-assisted nonorthogonal multiple access (NOMA) networks. Specifically, we consider a downlink NOMA system, in which data transmission between a base station (BS) and L NOMA users is assisted by an LIS comprising M reflective elements (REs). First, we derive the probability density function (PDF) of the end-to-end wireless fading channels between the BS and NOMA users. Then, by leveraging the obtained results, we derive an approximate expression for the pairwise error probability (PEP) of NOMA users under the assumption of imperfect successive interference cancellation. Furthermore, accurate expressions for the PEP for M = 1 and large M values ( M > 10 ) are presented in closed-form. To gain further insights into the system performance, an asymptotic expression for PEP in high signal-to-noise ratio regime, asymptotic diversity order, and tight union bound on the bit error rate are provided. Finally, numerical and simulation results are presented to validate the derived mathematical results.

Original languageBritish English
Article number9348935
Pages (from-to)5129-5140
Number of pages12
JournalIEEE Internet of Things Journal
Volume8
Issue number7
DOIs
StatePublished - 1 Apr 2021

Keywords

  • 6G
  • asymptotic diversity order
  • bit error rate (BER)
  • large intelligent surfaces (LISs)
  • nonorthogonal multiple access (NOMA)
  • pairwise error probability (PEP)
  • union bound

Fingerprint

Dive into the research topics of 'Large intelligent surface-assisted nonorthogonal multiple access for 6G networks: Performance analysis'. Together they form a unique fingerprint.

Cite this