Abstract
With the rapid increase in the number of mobile users and the continuous emergence of new wireless multimedia services, 5G mobile communication technology that can achieve spectral efficiency and data rate improvements has become a current research hotspot. This paper analyzes and summarizes the existing Internet of Things user grouping and power allocation algorithms under multi-carrier, and introduces the possible CSI (Channel State Information) error classification and modeling in the channel estimation process. For the dual-user cooperative 5G SWIPT-NOMA (Simultaneous Wireless Information and Power Transfer-Non-Orthogonal Multiple Access) transmission system with FD (Full-Duplex) antennas that exist in the presence of eavesdroppers, the physical layer security energy efficiency is used as the system performance measurement index. In view of the non-convex optimization problem and the high degree of coupling between variables, the joint solution of beamforming and power split ratio usually adopts the concave-convex procedure algorithm. This study proposes an improved particle swarm optimization algorithm, which is simpler than traditional solution methods. Aiming at the shortcomings of higher complexity of optimization algorithm, an improved particle swarm optimization algorithm with higher algorithm efficiency is proposed. The simulation results show that the optimal adaptive time slot optimization algorithm can obtain the optimal solution of the optimization problem, but the algorithm complexity is high. The improved particle swarm optimization algorithm is close to the optimal solution, the error is within the acceptable range, and the algorithm time is complicated.
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References
Liu Y, Zhang H, Long K, Nallanathan A, Leung VCM (2019) Energy-efficient subchannel matching and power allocation in NOMA autonomous driving vehicular networks[J]. IEEE Wirel Commun 26(4):88–93
Wei Z, Ng DWK, Yuan J (2019) NOMA for hybrid mmwave communication systems with beamwidth control[J]. IEEE Journal of Selected Topics in Signal Processing 13(3):567–583
Han S, Xu X, Fang S, Sun Y, Cao Y, Tao X, Zhang P (2019) Energy efficient secure computation offloading in NOMA-based mMTC networks for IoT[J]. IEEE Internet Things J 6(3):5674–5690
Lin Y, Yang Z, Guo H (2019) Proportional fairness-based energy-efficient power allocation in downlink MIMO-NOMA systems with statistical CSI[J]. China Communications 16(12):47–55
Liu Y, Sun X, Wei W, Jing W (2018) Enhancing energy-efficient and QoS dynamic virtual machine consolidation method in cloud environment[J]. IEEE Access 6:31224–31235
Nasir AA, Tuan HD, Duong TQ, Debbah M (2019) NOMA throughput and energy efficiency in energy harvesting enabled networks[J]. IEEE Trans Commun 67(9):6499–6511
Chi K, Chen Z, Zheng K, Zhu YH, Liu J (2019) Energy provision minimization in wireless powered communication networks with network throughput demand: TDMA or NOMA?[J]. IEEE Trans Commun 67(9):6401–6414
Kaur J, Singh ML (2019) User assisted cooperative relaying in beamspace massive MIMO NOMA based systems for millimeter wave communications[J]. China Communications 16(6):103–113
Yuan Y, Xu Y, Yang Z, Xu P, Ding Z (2019) Energy efficiency optimization in full-duplex user-aided cooperative SWIPT NOMA systems[J]. IEEE Trans Commun 67(8):5753–5767
Sun Z, Li H, Chen H, Wei W (2014) Optimization coverage of wireless sensor networks based on energy saving[J]. International Journal of future generation communication and networking 7(4):35–48
Zhou J, Sun Y, Cao Q, Li S, Xu H, Shi W (2019) QoS-based robust power optimization for SWIPT NOMA system with statistical CSI[J]. IEEE Transactions on Green Communications and Networking 3(3):765–773
Zheng B, Wu Q, Zhang R (2020) Intelligent reflecting surface-assisted multiple access with user pairing: NOMA or OMA?[J]. IEEE Commun Lett 24(4):753–757
Muhammed AJ, Ma Z, Diamantoulakis PD, Li L, Karagiannidis GK (2019) Energy-efficient resource allocation in multicarrier NOMA systems with fairness[J]. IEEE Trans Commun 67(12):8639–8654
Tian Z, Wang J, Wang J, Song J (2019) Distributed NOMA-based multi-armed bandit approach for channel access in cognitive radio networks[J]. IEEE Wireless Communications Letters 8(4):1112–1115
Sohail MF, Leow CY, Won SH (2019) Energy-efficient non-orthogonal multiple access for UAV communication system[J]. IEEE Trans Veh Technol 68(11):10834–10845
Vaezi M, Baduge GAA, Liu Y et al (2019) Interplay between NOMA and other emerging technologies: a survey[J]. IEEE Transactions on Cognitive Communications and Networking 5(4):900–919
Xiao Z, Zhu L, Gao Z, Wu DO, Xia XG (2019) User fairness non-orthogonal multiple access (NOMA) for millimeter-wave communications with analog beamforming[J]. IEEE Trans Wirel Commun 18(7):3411–3423
Liu M, Yang J, Gui G (2019) DSF-NOMA: UAV-assisted emergency communication technology in a heterogeneous internet of things[J]. IEEE Internet Things J 6(3):5508–5519
Wei W, Sun Z, Song H et al (2017) Energy balance-based steerable arguments coverage method in WSNs[J]. IEEE Access 6:33766–33773
Chen MC, Lu SQ, Liu QL (2020) Uniform regularity for a Keller-Segel-Navier-stokes system. Appl Math Lett 107:106476
Nasir AA, Tuan HD, Duong TQ, Poor HV (2019) UAV-enabled communication using NOMA[J]. IEEE Trans Commun 67(7):5126–5138
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Xu, J., Liang, Z. Energy Efficiency Optimization of NOMA IoT Communication for 5G. Mobile Netw Appl 27, 862–873 (2022). https://doi.org/10.1007/s11036-021-01815-4
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DOI: https://doi.org/10.1007/s11036-021-01815-4