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Volume 42 Issue 3
Mar.  2020
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Xiaoge HUANG, Weiwei FAN, Chunyan CAO, Qianbin CHEN. Energy Efficient Resource Allocation Scheme Based on Inactive Users in Small Cell Networks[J]. Journal of Electronics & Information Technology, 2020, 42(3): 637-644. doi: 10.11999/JEIT190303
Citation: Xiaoge HUANG, Weiwei FAN, Chunyan CAO, Qianbin CHEN. Energy Efficient Resource Allocation Scheme Based on Inactive Users in Small Cell Networks[J]. Journal of Electronics & Information Technology, 2020, 42(3): 637-644. doi: 10.11999/JEIT190303

Energy Efficient Resource Allocation Scheme Based on Inactive Users in Small Cell Networks

doi: 10.11999/JEIT190303
Funds:  The National Natural Science Foundation of China (61831002), The Innovation Project of the Common Key Technology of Chongqing Science and Technology Industry (cstc2018jcyjAx0383)
  • Received Date: 2019-04-30
  • Rev Recd Date: 2019-10-25
  • Available Online: 2019-11-07
  • Publish Date: 2020-03-19
  • Considering the interference problem of overlapping areas of cells, the service continuity of mobile users and the utilization of spectrum resources in the 5G network, an Energy Efficient resource allocation scheme for the Inactive user(EEI) is proposed. Firstly, a user-centered virtual cell is generated based on the notification area of the inactive users, and the intra-cell next-generation NodeBs (gNBs) could cooperatively provide communication services for users to improve the communication quality, lower the inter-cell interference, and reduce the handover signaling overhead. Secondly, Lyapunov optimization method is used to maximize the energy efficiency of the network, while ensuring the stability of the data queue. To make the optimization problem tractable, the scheme is decomposed into two sub-problems: the optimal transmission resource allocation and optimal transmission power allocation. Notice that, the optimal solutions are local optimal, which are based on the relaxed optimization problem. The simulation results show that the proposed energy efficiency resource allocation scheme based on the inactive users could achieve a better performance than the comparison algorithms,in the price of higher computational complexity.

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