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Volume 45 Issue 2
Feb.  2023
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LI Xujie, LIU Chunyan, SUN Ying. Clustering and Relay Selection Method for Cellular Network-oriented D2D Multicast Communication[J]. Journal of Electronics & Information Technology, 2023, 45(2): 488-496. doi: 10.11999/JEIT211565
Citation: LI Xujie, LIU Chunyan, SUN Ying. Clustering and Relay Selection Method for Cellular Network-oriented D2D Multicast Communication[J]. Journal of Electronics & Information Technology, 2023, 45(2): 488-496. doi: 10.11999/JEIT211565

Clustering and Relay Selection Method for Cellular Network-oriented D2D Multicast Communication

doi: 10.11999/JEIT211565
Funds:  The Future Network Scientific Research Foundation Project (FNSRFP-2021-YB-7), The Open Research Foundation Key Laboratory of Wireless Sensor Network and Communication of Chinese Academy of Sciences (20190914), The Water Science and Technology Program of Jiangsu (2020028), The Social and People's Livelihood Technology in Nantong City (MS22021042)
  • Received Date: 2021-12-27
  • Accepted Date: 2022-03-14
  • Rev Recd Date: 2022-02-11
  • Available Online: 2022-03-17
  • Publish Date: 2023-02-07
  • In traditional cellular networks, the randomness and uncertainty of channel attenuation lead to poor reception performance for cell-edge users, especially for video transmission and other high-speed requirements, its drawbacks are more prominent. D2D (Device-to-Device) communication can be used as a beneficial supplement to the traditional cellular network architecture because of its configuration flexibility, and the performance of edge users can be improved effectively. Aiming at the multicast transmission of D2D communication, the number of relays and the clustering algorithm are analyzed under the minimum delay cost of the system, and a low-latency D2D multicast scheme is proposed based on clustering and relay selection. This scheme can adaptively select the number of relays in the multicast retransmission and the distance from the cluster center to the base station, and at the same time, it provides an optimal bandwidth resource allocation mechanism. The simulation results show that compared with other schemes, the proposed strategy can effectively reduce the system delay and improve the edge user experience and system performance.
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