Performance Improvement and Analysis of NOMA in densely populated networks

Abstract

ABSTRACTNon Orthogonal Multiple Access technique (NOMA) is a potential and promising candidate for 5 G and beyond 5 G due to its better spectral efficiency and low latency. However, it faces implementation challenges in densely populated networks due to its computational complexity. In NOMA, for decoding Nth user information at the receiver end, it needs to perform (N−1) times perfect Successive Interference Cancellation (SIC) operation. Hence, in a dense network, where the number of users is high, the implementation of NOMA becomes tedious. In order to improve the performance of NOMA implementation, in this work, the concept of Cooperative Modulated-NOMA (CM-NOMA) is applied in the considered densely populated networks model. Performance analysis of the system in terms of outage probability, Symbol-to-Error Rate (SER) and achievable data rate in both one-to-one and cooperative communications scenarios are done. The analytical expressions are also validated using Monte Carlo simulation. The results show that the deployment of CM-NOMA in a densely populated network increases the performance of the system, and also reduces the computational complexity.KEYWORDS: 5GNon orthogonal multiple access technique (NOMA)Cooperative modulated-NOMA (CM-NOMA)Outage probabilitySuccessive interference cancellation (SIC)DisclaimerAs a service to authors and researchers we are providing this version of an accepted manuscript (AM). Copyediting, typesetting, and review of the resulting proofs will be undertaken on this manuscript before final publication of the Version of Record (VoR). During production and pre-press, errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal relate to these versions also. Data AvailabilityData sharing not applicable to this article as no datasets were generated or analyzed during the current study.Conflict of interestThe authors declare that they have no conflict of interest.