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Article
Joint Beamwidth and Power Optimization in MmWave Hybrid Beamforming-NOMA Systems
IEEE Transactions on Wireless Communications
  • Mojtaba Ahmadi Almasi, Boise State University
  • Lisi Jiang, University of California at Irvine
  • Hamid Jafarkhani, University of California at Irvine
  • Hani Mehrpouyan, Boise State University
Document Type
Article
Publication Date
4-1-2021
Abstract

The use of directional transmission in millimeter-Wave (mmWave) frequencies results in limited channel coherence time. In this paper, we take the limited channel coherence time into account for non-orthogonal multiple access (NOMA) in mmWave hybrid beamforming systems. Due to the limited coherence time, the beamwidth of the hybrid beamformer affects the beam-training time, which in turn directly impacts the data transmission rate. To investigate this trade-off, we utilize a combined beam-training algorithm. Then, we formulate a sum-rate expression which considers the channel coherence time and beam-training time as well as users' power and other system parameters. Further, a joint power and beamwidth optimization problem is solved by iterating between the power allocation and the beamwidth optimization. When allocating the power, we use the log-exponential reformulation and the sequential parametric convex approximation (SPCA) methods to solve the non-convex problem. Since beamwidth optimization involves too many variables, we propose an algorithm which iterates between clusters of users. Numerical results show that the optimized mmWave hybrid beamforming-NOMA system can achieve much higher sum-rates compared to NOMA with analog beamforming and traditional multiple access techniques.

Citation Information
Mojtaba Ahmadi Almasi, Lisi Jiang, Hamid Jafarkhani and Hani Mehrpouyan. "Joint Beamwidth and Power Optimization in MmWave Hybrid Beamforming-NOMA Systems" IEEE Transactions on Wireless Communications (2021) p. 2442 - 2456
Available at: http://works.bepress.com/hani_mehrpouyan/98/