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Volume 45 Issue 3
Mar.  2023
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SHEN Bin, SUN Wanping, ZHANG Nan, CUI Taiping. Resource Allocation Based on Weighted Bipartite Graph and Greedy Strategy for D2D Communication in Cellular Networks[J]. Journal of Electronics & Information Technology, 2023, 45(3): 1055-1064. doi: 10.11999/JEIT220029
Citation: SHEN Bin, SUN Wanping, ZHANG Nan, CUI Taiping. Resource Allocation Based on Weighted Bipartite Graph and Greedy Strategy for D2D Communication in Cellular Networks[J]. Journal of Electronics & Information Technology, 2023, 45(3): 1055-1064. doi: 10.11999/JEIT220029

Resource Allocation Based on Weighted Bipartite Graph and Greedy Strategy for D2D Communication in Cellular Networks

doi: 10.11999/JEIT220029
Funds:  The National Natural Science Foundation of China (62071078)
  • Received Date: 2022-01-10
  • Rev Recd Date: 2022-05-29
  • Available Online: 2022-06-10
  • Publish Date: 2023-03-10
  • Device-to-Device (D2D) communication is one of the key technologies to solve the issue of spectrum resource scarcity. In this paper, a complex “many-to-many” scenario in cellular networks is investigated, where a Resource Block (RB) could be reused by more than one D2D pair, and a D2D pair is also allowed to use multiple RBs. Moreover, the number of D2D users is larger than that of Cellular User Equipments (CUEs) and RBs. Considering that CUEs have higher priority on resource, this optimization problem is decomposed into two stages: cellular users resource allocation and D2D user resource reuse. In the first stage, a Fairness-based Circular Bipartite Graph Matching (FCBGM) algorithm is proposed, which allocates the existing RBs to all CUEs to maximize the sum data rate of cellular users. In the second stage, a Bipartite Graph-based Resource Reuse (BGRR) algorithm and a Greedy-based Resource Reuse (GRR) algorithm is proposed, and the goal is to re-assign the RBs, which are already allocated to CUEs, to the D2D pairs in a way to maximize the system sum data rate while ensuring the basic data rate requirements of CUEs. Simulation results show that when the number of D2D pairs is much larger than that of CUEs and RBs, compared with the existing typical algorithms, the proposed algorithm can effectively improve system sum data rate and D2D access rate while guaranteeing user fairness and quality of service.
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