Energy-Efficient Power Allocation and User Selection for mmWave-NOMA Transmission in M2M Communications Underlaying Cellular Heterogeneous Networks

• Published in: IEEE transactions on vehicular technology Vol. 69; no. 9; pp. 9866 - 9881
• Main Authors: Sobhi-Givi, Sima, Shayesteh, Mahrokh G., Kalbkhani, Hashem
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.09.2020; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Cellular communication; Communication; Complexity; Electronic devices; Energy conversion efficiency; Energy efficiency; energy efficiency (EE); Game theory; Interchannel interference; Iterative algorithms; Iterative methods; Machine-to-machine (M2M) communication; Machine-to-machine communications; millimeter wave (mmWave); Millimeter waves; NOMA; Non-orthogonal multiple access (NOMA); Nonorthogonal multiple access; Optimization; outage probability; Power control; Power management; Power system reliability; Probability; Resource management; Small cell; user selection; Wireless networks
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2020.3003062

Non-orthogonal multiple access (NOMA) and millimeter-wave (mmWave) communication are two important technologies considered for the fifth generation (5G) of mobile networks. In this paper, we propose a machine-to-machine (M2M) communication underlaying heterogeneous network (HetNet) with mmWave-NOMA transmission, where small cell users (SCUs) and machine type communication (MTC) devices share the same resource block (RB) to increase the network capacity. We formulate an optimization problem to select efficient users and allocate transmission powers to SCUs and MTC devices. The object of optimization is to maximize the energy efficiency (EE) subject to the minimum spectral efficiency (SE) requirements and maximum transmission powers. We present a low computational complexity sub-optimum solution based on the non-cooperative game. An iterative algorithm with fast convergence speed and a reduced complexity search-based algorithm are respectively presented to solve the power control and user selection problems. The comparison between the proposed solution and optimum solution for different number of transmit antennas indicate that there is a small gap between SEs and EEs of the proposed and optimum solutions. Further, the results of user selection scheme demonstrate that the location of strong user affects the performance. We also derive analytical expressions for the outage probability which confirm Monte Carlo simulations.