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Many-to-Many Matching based Resource Allocation to support Multi-Connectivity

Lee, Haeyoung, Vahid, Seiamak and Moessner, Klaus (2020) Many-to-Many Matching based Resource Allocation to support Multi-Connectivity In: 11th International Conference on ICT Convergence (ICTC 2020),, 21-23 Oct 2020, Ramada Plaza Hotel, Jeju Island, Korea.

Many-to-Many Matching based Resource Allocation - AAM.pdf - Accepted version Manuscript

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In the fifth and beyond (5G/B5G) communication, wireless networks are evolved towards offering various services of different use cases and, therefore, need to span a wide range of requirements. While different services will be supported at the same time, radio resource management needs to consider the different requirements. In addition, as wireless systems are capable to support multi-connectivity, radio resource allocation becomes more challenging. In this context, we introduce a manyto- many matching game, and develop a distributed radio resource allocation algorithm supporting multi-connectivity. Simulation results demonstrate that the proposed approach improves the QoS levels of UEs by up to 14.9% considering their service requirements.

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Date : 2020
Uncontrolled Keywords : Multi-connectivity; Utility-based QoS model; Matching theory; Many-to-many matching
Related URLs :
Depositing User : Clive Harris
Date Deposited : 06 Oct 2020 16:57
Last Modified : 21 Oct 2020 02:08

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