TY - GEN
T1 - A D2D Resource Scheduling Algorithm Based on Position Relation in Cellular Network
AU - Su, Xing
AU - Su, Yanyong
N1 - Publisher Copyright:
© 2021, ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering.
PY - 2021
Y1 - 2021
N2 - With the development of 5G, device-to-device (D2D) and other technologies have emerged one after another, making the communication services faster and wider in coverage. Aiming at the problem of high computational complexity of traditional resource allocation algorithms, by studying the D2D communication network model and the spatial location relationship of users, ignoring parameters that have little impact on the calculation, a D2D resource scheduling algorithm based on location relationship is proposed and optimized system performance. Simulation results show that, compared with traditional algorithms, the proposed resource scheduling algorithm has greatly reduced algorithm complexity, and has good data transfer rate and high system capacity.
AB - With the development of 5G, device-to-device (D2D) and other technologies have emerged one after another, making the communication services faster and wider in coverage. Aiming at the problem of high computational complexity of traditional resource allocation algorithms, by studying the D2D communication network model and the spatial location relationship of users, ignoring parameters that have little impact on the calculation, a D2D resource scheduling algorithm based on location relationship is proposed and optimized system performance. Simulation results show that, compared with traditional algorithms, the proposed resource scheduling algorithm has greatly reduced algorithm complexity, and has good data transfer rate and high system capacity.
KW - D2D
KW - Location relationship
KW - Resource scheduling
UR - https://www.scopus.com/pages/publications/85101559347
U2 - 10.1007/978-3-030-66785-6_5
DO - 10.1007/978-3-030-66785-6_5
M3 - 会议稿件
AN - SCOPUS:85101559347
SN - 9783030667849
T3 - Lecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
SP - 47
EP - 52
BT - Machine Learning and Intelligent Communications - 5th International Conference, MLICOM 2020, Proceedings
A2 - Guan, Mingxiang
A2 - Na, Zhenyu
PB - Springer Science and Business Media Deutschland GmbH
T2 - 5th International Conference on Machine Learning and Intelligent Communications, MLICOM 2020
Y2 - 26 September 2020 through 27 September 2020
ER -