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On the Achievable Max-Min User Rates in Multi-Carrier Centralized NOMA-VLC Networks.

Omar MaraqaUmair F SiddiqiSaad Al-AhmadiSadiq M Sait
Published in: Sensors (Basel, Switzerland) (2021)
Visible light communications (VLC) is gaining interest as one of the enablers of short-distance, high-data-rate applications, in future beyond 5G networks. Moreover, non-orthogonal multiple-access (NOMA)-enabled schemes have recently emerged as a promising multiple-access scheme for these networks that would allow realization of the target spectral efficiency and user fairness requirements. The integration of NOMA in the widely adopted orthogonal frequency-division multiplexing (OFDM)-based VLC networks would require an optimal resource allocation for the pair or the cluster of users sharing the same subcarrier(s). In this paper, the max-min rate of a multi-cell indoor centralized VLC network is maximized through optimizing user pairing, subcarrier allocation, and power allocation. The joint complex optimization problem is tackled using a low-complexity solution. At first, the user pairing is assumed to follow the divide-and-next-largest-difference user-pairing algorithm (D-NLUPA) that can ensure fairness among the different clusters. Then, subcarrier allocation and power allocation are solved iteratively through both the Simulated Annealing (SA) meta-heuristic algorithm and the bisection method. The obtained results quantify the achievable max-min user rates for the different relevant variants of NOMA-enabled schemes and shed new light on both the performance and design of multi-user multi-carrier NOMA-enabled centralized VLC networks.
Keyphrases
  • visible light
  • machine learning
  • healthcare
  • deep learning
  • single cell
  • gene expression
  • magnetic resonance imaging
  • air pollution
  • big data
  • particulate matter
  • genome wide
  • computed tomography
  • copy number
  • heavy metals