Article

Multi cell network resource allocation algorithm for space earth integrated network

Authors:

Le Ma,

Chao Liu,

Dan Li Wang,

Bo Xiao,

Ting Yu Wang,

Ling Ya YunAuthors Info & Claims

HP3C '21: Proceedings of the 5th International Conference on High Performance Compilation, Computing and Communications

Pages 32 - 36

https://doi.org/10.1145/3471274.3471280

Published: 26 August 2021 Publication History

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Abstract

Space integrated communication network is an important development trend of 5g mobile communication system in the future, which can truly realize the global "ubiquitous connection". Aiming at the coexistence of power users and monitoring terminals in smart grid, this paper proposes a multi cell resource scheduling algorithm for space sky integrated network. Firstly, a multi cell cooperative resource allocation model is established according to the service priority of power users, minimum user rate requirements, power and QoS requirements, Then, the dynamic iterative algorithm is used to allocate temporary subchannels to users, and the iterative water injection algorithm considering KKT condition is used to allocate the power of cell users, The optimal solution of users under multi cell cooperation is obtained, so that the power users of each priority can meet the requirements of rate, delay and power, Select the best carrier frequency band and resource unit for transmission to meet the needs of power emergency communication. The simulation results show that the algorithm can provide sufficient resource allocation for high QoS services in the case of traffic congestion, It balances the relationship between fairness and throughput, and improves the service transmission performance.

References

[1]

Ismayilov, R., Kaneko, M., Hiraguri, T., Adaptive Beam-Frequency Allocation Algorithm with Position Uncertainty for illimeter-Wave MIMO Systems [A].//IEEE Vehicular Technology Conference [C],Porto: IEEE, 2018:1-5.

Google Scholar

[2]

Shen, L. H., Feng, K. T. Joint Beam and Subband Resource Allocation with QoS Requirement for Millimeter Wave MIMO Systems [A].//IEEE Wireless Communications and Networking Conference [C],San Francisco: IEEE,2017:1-6.

Google Scholar

[3]

Shajaiah, H., Abdelhadi, A., Clancy, T. C. Robust Resource Allocation with Joint CarrierAggregation for Multi-Cau-ier Cellular Networks [J].IEEE Transactions on Cognitive Communications and Networking, 2018, 4(1):53-65.

Crossref

Google Scholar

[4]

Galanopoulos, A., Foukalas, F., Tsiftsis, T. A. Efficient Coexistence of LTE with WiFi in the Licensed and Unlicensed Spectrum Aggregation [J]. IEEE Transactions on Cognitive Communications and Networking, 2016, 2(2):129-140.

Crossref

Google Scholar

[5]

Saptarshi Chaudhuri, Irfan Baig, Debabrata Das. A novel QoS aware medium access control scheduler for LTE-avanced network[J].Computer Networks, 2018(135):1-14.

Google Scholar

[6]

Rinvydas Aleksiejunas, Jevgenij Krivochiza, Jurgis Aleksandravicius, Analysis of Radar Interference Effects on MIMO LTE Downlink Performance[J]. Wireless Personal Communication, 2015, 88(3):1719-1731.

Digital Library

Google Scholar

[7]

Ole Grqndalen, Andrea Zanella, Kashif Mahmood, Scheduling Policies in Time and Frequency Domains for LTE Downlink Channel: A Performance Comparison[J]. IEEE Transaction on Vehicular Technology, 2017, 66(4):3345-3359.

Google Scholar

[8]

Yen Wen Chen, Yen Yin Chu, Chih Wei Lai. Study on State Dependent Radio Resource Scheduling for Downlink Traffic in LTE Networks[J].Wireless Personal Communication, 2017(96):4709-4723.

Google Scholar

[9]

Nasim Ferdosian, Mohamed Othman, Borhanuddin Mohd Ali, Fair-QoS Broker Algorithm for Overload-State Downlink Resource Scheduling in LTE Networks[J]. IEEE SYSTEMS JOURNAL,2017:1-12.

Google Scholar

[10]

Hugo Costa Neto, Bezerra Rodrigues, Agular Sousa, QoS-aware Scheduling algorithms to enhance user satisfaction in OFDMA systems[J]. Transactions on Emerging Telecommunications Technologies,2017:1-15.

Google Scholar

[11]

Yuan Pingli, Bin Jiehu, Hui Zhu, A Delay Priority Scheduling Algorithm for Downlink Real-Time Traffic in LTE Networks[C]. 2016 Information Technology, Networking, Electronic and Automation Control Conference, IEEE, 2016:706-709.

Google Scholar

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Wang YLiu JChen MXu SHou Y(2023)Task‐oriented resource prediction and adjustment algorithm for space‐based information networkInternational Journal of Satellite Communications and Networking10.1002/sat.149441:6(634-650)Online publication date: 11-Oct-2023
https://dl.acm.org/doi/10.1002/sat.1494

Multi cell network resource allocation algorithm for space earth integrated network
1. Networks
  1. Network types

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HP3C '21: Proceedings of the 5th International Conference on High Performance Compilation, Computing and Communications

June 2021

71 pages

ISBN:9781450389648

DOI:10.1145/3471274

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 ACM 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: 26 August 2021

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HP3C'21: 2021 5th International Conference on High Performance Compilation, Computing and Communications

June 18 - 20, 2021

Guangzhou, China

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Wang YLiu JChen MXu SHou Y(2023)Task‐oriented resource prediction and adjustment algorithm for space‐based information networkInternational Journal of Satellite Communications and Networking10.1002/sat.149441:6(634-650)Online publication date: 11-Oct-2023
https://dl.acm.org/doi/10.1002/sat.1494

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Towards a multi-QoS human-centric cloud computing load balance resource allocation method

Dynamic Resource Allocation Techniques for Wireless Network Data in Elastic Optical Network Applications

Resource Allocation in Moving Small Cell Network

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