TY - GEN
T1 - NOMA-Enabled Delay Minimization for Marine Multi-access Edge Computing Networks
T2 - 24th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023
AU - Luo, Zhishen
AU - Dai, Minghui
AU - Wu, Yuan
AU - Qian, Liping
AU - Lin, Bin
AU - Su, Zhou
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - With the continuous improvement of smart oceans, marine networks become more intelligent and efficient in monitoring marine environments and marine resources. However, the limited communication resources (such as bandwidth, battery capacity, etc.) of marine wireless devices have become the major bottleneck problems of marine networks. Additionally, the rationality of marine communication devices lead to the fact that they are not to perform tasks voluntarily. To address these issues, in this paper, we investigate a contract incentive scheme for non-orthogonal multiple access (NOMA) enabled delay minimization for marine multi-access edge computing (MEC) networks. Specifically, we formulate the utility optimization problems for unmanned surface vessels (USVs) and unmanned aerial vehicles (UAVs), respectively. To solve the optimization problems, we propose innovative algorithms which can maximize the utility of each party. We conduct simulation results to verify the performance of the algorithms, and the result shows its efficiency and effectiveness.
AB - With the continuous improvement of smart oceans, marine networks become more intelligent and efficient in monitoring marine environments and marine resources. However, the limited communication resources (such as bandwidth, battery capacity, etc.) of marine wireless devices have become the major bottleneck problems of marine networks. Additionally, the rationality of marine communication devices lead to the fact that they are not to perform tasks voluntarily. To address these issues, in this paper, we investigate a contract incentive scheme for non-orthogonal multiple access (NOMA) enabled delay minimization for marine multi-access edge computing (MEC) networks. Specifically, we formulate the utility optimization problems for unmanned surface vessels (USVs) and unmanned aerial vehicles (UAVs), respectively. To solve the optimization problems, we propose innovative algorithms which can maximize the utility of each party. We conduct simulation results to verify the performance of the algorithms, and the result shows its efficiency and effectiveness.
KW - Marine multi-access edge computing
KW - NOMA
KW - computation offloading
KW - contract incentive
UR - https://www.scopus.com/pages/publications/85178646172
U2 - 10.1109/SPAWC53906.2023.10304527
DO - 10.1109/SPAWC53906.2023.10304527
M3 - 会议稿件
AN - SCOPUS:85178646172
T3 - IEEE Workshop on Signal Processing Advances in Wireless Communications, SPAWC
SP - 131
EP - 135
BT - 2023 IEEE 24th International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2023 - Proceedings
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 25 September 2023 through 28 September 2023
ER -
