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Research on throughput maximization of mass device access based on 5G big connection

Published: 22 February 2024 Publication History

Abstract

In machine type communication networks with limited power and scarce spectrum resources, traditional resource allocation algorithms are difficult to meet the increasing QoS requirements of machine type communication devices. With single cell as background, a two-layer network model is constructed to reduce the access burden of base stations and ease the congestion of machine-type communication network. On this basis, spectrum allocation and power allocation are optimized to maximize system throughput, and a distributed Asynchronous Advantage Actor-Critic algorithm is proposed to solve the problem. Simulation results show that the proposed algorithm can improve the throughput of the system and converge faster than the traditional reinforcement algorithm.

References

[1]
M. A. Ullah, K. Mikhaylov and H. Alve, "Enabling mMTC in Remote Areas: LoRaWAN and LEO Satellite Integration for Offshore Wind Farm Monitoring," IEEE Transactions on Industrial Informatics. 18(6), 3744-3753, 2022.
[2]
S. Lv, X. Xu, S. Han, X. Tao and P. Zhang, "Energy-Efficient Secure Short-Packet Transmission in NOMA-Assisted mMTC Networks with Relaying," IEEE Transactions on Vehicular Technology. 71(2), 1699-1712, 2022.
[3]
Dawy Z, Saad W, Ghosh A, "Toward massive machine type cellular communications," IEEE Wireless Communications. 24(1), 120–128, 2017.
[4]
Ghavimi F and Chen H H, "M2M communications in 3GPP LTE/LTE-A networks: Architectures, service requirements, challenges, and applications," IEEE Communications Surveys & Tutorials. 17(2), 525–549, 2015.
[5]
B. Wang, Y. Sun and X. Xu, "A Scalable and Energy-Efficient Anomaly Detection Scheme in Wireless SDN-Based mMTC Networks for IoT," IEEE Internet of Things Journal. 8(3), 1388-1405, 2021.
[6]
M. B. Goktas and Z. Ding, "A Wireless Power Transfer Assisted NOMA Transmission Scheme for 5G and Beyond mMTC," IEEE Wireless Communications Letters. 11(6), 1239-1242, 2022.
[7]
J. Jiao, L. Xu, S. Wu, R. Lu and Q. Zhang, "MSPA: Multislot Pilot Allocation Random Access Protocol for mMTC-Enabled IoT System," IEEE Internet of Things Journal, 8(24), 17403-17416, 2021.
[8]
S. R. Sabuj, A. Ahmed, Y. Cho, K. -J. Lee and H. -S. Jo, "Cognitive UAV-Aided URLLC and mMTC Services: Analyzing Energy Efficiency and Latency," IEEE Access. 9, 5011-5027, 2021.
[9]
S. Han, " Energy Efficient Secure Computation Offloading in NOMA-Based mMTC Networks for IoT," IEEE Internet of Things Journal. 6(3), 5674-5690, 2019.
[10]
M. Kamel, W. Hamouda and A. Youssef, "Uplink Coverage and Capacity Analysis of mMTC in Ultra-Dense Networks," IEEE Transactions on Vehicular Technology. 69(1), 746-759, 2020.
[11]
Y. Teng, M. Yan, D. Liu, Z. Han and M. Song, "Distributed Learning Solution for Uplink Traffic Control in Energy Harvesting Massive Machine-Type Communications," IEEE Wireless Communications Letters. 9(4), 485-489, 2020.
[12]
L. Feng, J. Chai, F. Zhou and W. Li, "Energy-Efficient Joint Optimization of Channel Assignment, Power Allocation, and Relay Selection Based on Hypergraph for Uplink mMTC Networks," IEEE Transactions on Green Communications and Networking. 5(1), 203-215, 2021.
[13]
Z. Xie and W. Chen, "Pilot-Efficient Scheduling for Large-Scale Antenna Aided Massive Machine-Type Communications: A Cross-Layer Approach," IEEE Transactions on Communications. 68(7), 4262-4276, 2020.
[14]
Grondman I, Businou L, Lopes G A D, "Asurvey of actor-critic reinforcement learning: Standard and natural policy gradients," IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and Reviews). 42(6), 1291–1307, 2012.

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            CNML '23: Proceedings of the 2023 International Conference on Communication Network and Machine Learning
            October 2023
            446 pages
            ISBN:9798400716683
            DOI:10.1145/3640912
            Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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            Published: 22 February 2024

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