TY - GEN
T1 - Many-to-Many Matching based Resource Allocation to support Multi-Connectivity
AU - Lee, Haeyoung
AU - Vahid, Seiamak
AU - Moessner, Klaus
N1 - © 2020 IEEE.
PY - 2020/10/21
Y1 - 2020/10/21
N2 - 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 many-to-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.
AB - 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 many-to-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.
KW - many-to-many matching
KW - matching theory
KW - Multi-connectivity
KW - utility-based QoS model
UR - http://www.scopus.com/inward/record.url?scp=85098983688&partnerID=8YFLogxK
U2 - 10.1109/ICTC49870.2020.9289460
DO - 10.1109/ICTC49870.2020.9289460
M3 - Conference contribution
AN - SCOPUS:85098983688
T3 - International Conference on ICT Convergence
SP - 768
EP - 773
BT - ICTC 2020 - 11th International Conference on ICT Convergence
PB - Institute of Electrical and Electronics Engineers (IEEE)
T2 - 11th International Conference on Information and Communication Technology Convergence, ICTC 2020
Y2 - 21 October 2020 through 23 October 2020
ER -