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AI-enabled Priority and Auction-Based Spectrum Management for 6G (2401.06484v1)

Published 12 Jan 2024 in eess.SY, cs.NI, cs.SY, and eess.SP

Abstract: In this paper, we present a quality of service (QoS)-aware priority-based spectrum management scheme to guarantee the minimum required bit rate of vertical sector players (VSPs) in the 5G and beyond generation, including the 6th generation (6G). VSPs are considered as spectrum leasers to optimize the overall spectrum efficiency of the network from the perspective of the mobile network operator (MNO) as the spectrum licensee and auctioneer. We exploit a modified Vickrey-Clarke-Groves (VCG) auction mechanism to allocate the spectrum to them where the QoS and the truthfulness of bidders are considered as two important parameters for prioritization of VSPs. The simulation is done with the help of deep deterministic policy gradient (DDPG) as a deep reinforcement learning (DRL)-based algorithm. Simulation results demonstrate that deploying the DDPG algorithm results in significant advantages. In particular, the efficiency of the proposed spectrum management scheme is about %85 compared to the %35 efficiency in traditional auction methods.

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References (14)
  1. Khadem, Mina and Ansarifard, Maryam and Mokari, Nader and Javan, Mohammadreza and Saeedi, Hamid and Jorswieck, Eduard A, “Dynamic Fairness-Aware Spectrum Auction for Enhanced Licensed Shared Access in 6G Networks,” arXiv preprint arXiv:2312.12867, 2023.
  2. T. Feng and Y. Zhen, “A New Algorithm for Weighted Proportional Fairness Based Spectrum Allocation of Cognitive Radios,” in proceeding of Eighth ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/Distributed Computing (SNPD 2007), Qingdao, China, 30 July-1 August, 2007, pp.531-536.
  3. ETSI, “ETSI TR 103 885 V1.1.1 (2023-03),” Tech. Rep. 103 885, European Telecommunications Standards Institute (ETSI), March 2023. Technical Report.
  4. S. Zarandi and M. Rasti., “Resource allocation in inband full-duplex two-tier networks with quality of service provisioning,” in proceedings of 2018 IEEE Wireless Communications and Networking Conference (WCNC), Doha, Qatar, April, 2016, pp.3–6.
  5. L. Huang, S. Kumar, and C.-C. Kuo, “Adaptive resource allocation for multimedia QoS management in wireless networks,” IEEE Transactions on Vehicular Technology, vol. 53, no. 2, pp. 547–558, 2004.
  6. A. V. Akella and K. Xiong, “Quality of Service (QoS)-Guaranteed Network Resource Allocation via Software Defined Networking (SDN),” in proceeding of 2014 IEEE 12th International Conference on Dependable, Autonomic and Secure Computing (DASC), Dalian, China, 24-27 August, 2014, pp.7–13.
  7. H. Vuojala, M. Mustonen, X. Chen, K. Kujanpää, P. Ruuska, M. Höyhtyä, M. Matinmikko-Blue, J. Kalliovaara, P. Talmola, and A.-G. Nyström, “Spectrum access options for vertical network service providers in 5G,” Telecommunications Policy, vol. 44, no. 4, p. 101903, 2020.
  8. M. Matinmikko-Blue, S. Yrjölä, V. Seppänen, P. Ahokangas, H. Hämmäinen, and M. Latva-aho, “Analysis of Spectrum Valuation Approaches: The Viewpoint of Local 5G Networks in Shared Spectrum Bands,” in 2018 IEEE International Symposium on Dynamic Spectrum Access Networks (DySPAN), pp. 1–9, 2018.
  9. M. Matinmikko, M. Latva-aho, P. Ahokangas, and V. Seppänen, “On regulations for 5G: Micro licensing for locally operated networks,” Telecommunications Policy, vol. 42, no. 8, pp. 622–635, 2018.
  10. M. Matinmikko, M. Latva-Aho, P. Ahokangas, S. Yrjölä, and T. Koivumäki, “Micro operators to boost local service delivery in 5G,” Wireless Personal Communications, vol. 95, pp. 69–82, 2017.
  11. 3rd Generation Partnership Project (3GPP), “System Architecture for the 5G System (5GS),” tech. rep., 2017.
  12. A. Abdel-Hadi and C. Clancy, “A utility proportional fairness approach for resource allocation in 4G-LTE,” in proceeding of 2014 International Conference on Computing, Networking and Communications (ICNC), Honolulu, Hawaii, USA, 3-6 February, 2014, pp.1034-1040.
  13. F. Zeinali, S. Norouzi, N. Mokari, and E. A. Jorswieck, “AI-based Radio Resource and Transmission Opportunity Allocation for 5G-V2X HetNets: NR and NR-U networks,” International Journal of Electronics and Communication Engineering, vol. 17, no. 9, pp. 217 – 224, 2023.
  14. M. Cary, A. Das, B. Edelman, I. Giotis, K. Heimerl, A. R. Karlin, C. Mathieu, and M. Schwarz, “Greedy bidding strategies for keyword auctions,” in Proceedings of the 8th ACM Conference on Electronic Commerce, pp. 262–271, 2007.
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