Research on Resource Allocation Algorithm for D2D Communications Underlaying LTE-A Networks

Zhihong QIAN; Shuangye YAN; Chunsheng TIAN; Xin WANG

doi:10.11999/JEIT180043

Volume 40 Issue 10

Sep. 2018

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Zhihong QIAN, Shuangye YAN, Chunsheng TIAN, Xin WANG. Research on Resource Allocation Algorithm for D2D Communications Underlaying LTE-A Networks[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2287-2293. doi: 10.11999/JEIT180043

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Zhihong QIAN, Shuangye YAN, Chunsheng TIAN, Xin WANG. Research on Resource Allocation Algorithm for D2D Communications Underlaying LTE-A Networks[J]. Journal of Electronics & Information Technology, 2018, 40(10): 2287-2293. doi: 10.11999/JEIT180043

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Research on Resource Allocation Algorithm for D2D Communications Underlaying LTE-A Networks

doi: 10.11999/JEIT180043

1.
College of Communication Engineering, Jilin University, Changchun 130012, China
2.
College of Information & Technology, Jilin Agricultural University, Changchun 130018, China

Funds: The National Natural Science Foundation of China (61771219), The Fundamental Research of Jilin University (SXGJQY2017-9, 2017TD-19)

Received Date: 2018-01-11
Rev Recd Date: 2018-06-01

Available Online: 2018-07-30

Publish Date: 2018-10-01

Abstract

Abstract

Uplink resource allocation problem in Device-to-Device (D2D) communications underlaying LTE-A networks is analyzed. First, the problem is modeled as a Mixed Integer NonLinear Programming (MINLP). Then the algorithm calculates each waiting user’s identity list in accordance with the preference for channels to form coalitions. On the premise of guaranteeing the Quality of Service (QoS) of users in the system, the suitable resource and reuse partner are assigned to each user through Maximum Weighted Bipartite Matching (MWBM). The simulation results show that this algorithm can break the constraint that D2D pairs can only stay on dedicated or reused mode when they are on data transmission, and expand the range of available resource for D2D users, which increases effectively the system sum-rate compared with the existing algorithm.
- Wireless communications,
- D2D communications,
- Resource allocation,
- Maximum Weighted Bipartite Matching (MWBM)

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References(14)

References

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