TY - GEN
T1 - Uplink Scheduling in a NOMA-enabled Single-Cell Wireless Network using Simulated Annealing
AU - Yang, Botao
AU - Liu, Ye
AU - Chen, Chung Shue
N1 - Publisher Copyright:
© 2023 IFIP.
PY - 2023/8
Y1 - 2023/8
N2 - By allowing multiple users to transmit using the same frequency band at the same time, non-orthogonal multiple access (NOMA) can support more users as compared to orthogonal multiple access (OMA) given a fixed amount of time-frequency resources. In this paper, we study the resource allocation problem in the uplink of a single-cell network when NOMA is enabled, where the maximum completion time of serving all connected users is to be minimized. While such an objective function minimizes the required time to serve uplink users, the resource allocation problem is NP-hard. We propose a serial collaborative optimization framework based on simulated annealing (SA) to search for the optimal user pairing and scheduling solution. Simulation studies show that the proposed algorithm for NOMA scheduling can reduce the maximum completion time by more than 30% when compared against OMA scheduling and random NOMA user clustering.
AB - By allowing multiple users to transmit using the same frequency band at the same time, non-orthogonal multiple access (NOMA) can support more users as compared to orthogonal multiple access (OMA) given a fixed amount of time-frequency resources. In this paper, we study the resource allocation problem in the uplink of a single-cell network when NOMA is enabled, where the maximum completion time of serving all connected users is to be minimized. While such an objective function minimizes the required time to serve uplink users, the resource allocation problem is NP-hard. We propose a serial collaborative optimization framework based on simulated annealing (SA) to search for the optimal user pairing and scheduling solution. Simulation studies show that the proposed algorithm for NOMA scheduling can reduce the maximum completion time by more than 30% when compared against OMA scheduling and random NOMA user clustering.
KW - maximum completion time
KW - Non-orthogonal multiple access (NOMA)
KW - resource scheduling
KW - serial collaborative optimization
KW - simulated annealing (SA)
UR - http://www.scopus.com/inward/record.url?scp=85183290081&partnerID=8YFLogxK
U2 - 10.23919/WiOpt58741.2023.10349821
DO - 10.23919/WiOpt58741.2023.10349821
M3 - Conference Proceeding
AN - SCOPUS:85183290081
T3 - Proceedings of the International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt
SP - 485
EP - 492
BT - 2023 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2023
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 21st International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2023
Y2 - 24 August 2023 through 27 August 2023
ER -