In this paper, a downlink non-orthogonal multiple access (NOMA)-aided cell-free system is proposed. Multiple access points (APs) are distributed in a wide area and cooperatively serve users using NOMA. A sum rate maximization problem is formulated, where the beamforming coefficients at APs are jointly optimized subject to the minimum rate requirements and decoding order of NOMA users. An iterative algorithm is proposed, where semi-definite programming (SDP) and penalty based methods are employed to address the resultant non-convex problem. Numerical results show that our proposed algorithm converges within 10 iterations, and the sum rate enhancement can be achieved with the aid of our proposed algorithm compared to the orthogonal multiple access (OMA) system. Furthermore, NOMA achieves better user fairness compared with spatial domain multiple access (SDMA), while may suffer a sum rate loss.

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Sum Rate Maximization for NOMA-Aided Cell-Free System

  • Qiling Gao,
  • Zhongming Feng,
  • Yun Lin

摘要

In this paper, a downlink non-orthogonal multiple access (NOMA)-aided cell-free system is proposed. Multiple access points (APs) are distributed in a wide area and cooperatively serve users using NOMA. A sum rate maximization problem is formulated, where the beamforming coefficients at APs are jointly optimized subject to the minimum rate requirements and decoding order of NOMA users. An iterative algorithm is proposed, where semi-definite programming (SDP) and penalty based methods are employed to address the resultant non-convex problem. Numerical results show that our proposed algorithm converges within 10 iterations, and the sum rate enhancement can be achieved with the aid of our proposed algorithm compared to the orthogonal multiple access (OMA) system. Furthermore, NOMA achieves better user fairness compared with spatial domain multiple access (SDMA), while may suffer a sum rate loss.