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The paper proposes a clustering and auction-based power allocation algorithm to maximize energy efficiency in multi-cell multi-carrier NOMA networks, outperforming existing methods.

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Abstract

In this paper, we investigate the energy efficiency (EE) maximization in multi-cell multi-carrier non-orthogonal multiple access (MCMC-NOMA) networks. To achieve this goal, an optimization problem is formulated then the solution is divided into two parts. First, we investigate the inter-cell interference mitigation and then we propose an auction-based non-cooperative game for power allocation for base stations. Finally, to guarantee the rate requirements for users, power is allocated fairly to users. The simulation results show that the proposed scheme has the best performance compared with the existing NOMA-based fractional transmit power allocation (FTPA) and the conventional orthogonal frequency division multiple access (OFDMA).

Key findings

  • The proposed algorithm mitigates inter-cell interference and allocates power fairly to users to meet their rate requirements.
  • Simulation results show that the proposed scheme achieves better performance compared to existing NOMA-based FTPA and OFDMA methods.
  • The algorithm is divided into two parts: inter-cell interference mitigation and auction-based power allocation for base stations.

Keywords

Orthogonal frequency-division multiple accessBase stationMathematical optimizationMaximizationTransmitter power outputNoma

Identifiers

DOI
10.3390/app9235034
Journal
Applied Sciences
Year
2019