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Volume 43 Issue 8
Aug.  2021
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Yongjun XU, Bowen GU, Yang YANG, Cuixian WU, Qianbin CHEN, Guangyue LU. Robust Energy-efficient Resource Allocation Algorithm in D2D Communication Networks with Imperfect CSI[J]. Journal of Electronics & Information Technology, 2021, 43(8): 2189-2198. doi: 10.11999/JEIT200587
Citation: Yongjun XU, Bowen GU, Yang YANG, Cuixian WU, Qianbin CHEN, Guangyue LU. Robust Energy-efficient Resource Allocation Algorithm in D2D Communication Networks with Imperfect CSI[J]. Journal of Electronics & Information Technology, 2021, 43(8): 2189-2198. doi: 10.11999/JEIT200587

Robust Energy-efficient Resource Allocation Algorithm in D2D Communication Networks with Imperfect CSI

doi: 10.11999/JEIT200587
Funds:  The National Natural Science Foundation of China (61601071), The Natural Science Foundation of Chongqing (cstc2019jcyj-xfkxX0002), The Open Funding of Shaanxi Key Laboratory of Information Communication Network and Security (ICNS201904), The Graduate Scientific Research Innovation Project of Chongqing (CYS20251, CYS20253)
  • Received Date: 2020-07-16
  • Rev Recd Date: 2021-03-11
  • Available Online: 2021-04-12
  • Publish Date: 2021-08-10
  • Due to the impact of random channel delays and channel estimation errors, traditional optimal resource allocation algorithms in Device-to-Device (D2D) communication networks have weak robustness. In this paper, a robust resource allocation algorithm for the energy-efficient maximization of D2D users is proposed under parametric uncertainties. Specifically, a multi-user resource allocation model in the D2D network with an underlay spectrum sharing mode is established under the constraints of the interference power threshold, the minimum rate requirement, the maximum transmit power, and the sub-channel allocation. Based on the bounded channel uncertainty models, the original non-convex robust resource allocation problem is converted into a deterministic and convex one by using the worst-case approach. Accordingly, the analytical solution of the robust resource allocation problem is obtained by using Lagrange dual theory. Simulation results demonstrate the proposed algorithm has good robustness.
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