Distributed Resource Allocation for Maximizing Energy Efficiency in D2D-U Enabled NR Network

Author(s):  
Zheyi Wu ◽  
Jiantao Yuan ◽  
Rui Yin ◽  
Xianfu Chen ◽  
Celimuge Wu
Author(s):  
Bin Zhang ◽  
Yi Liu

In fifth generation (5G) systems, green heterogeneous network (HetNet) is capable of achieving energy efficiency by densely deploying renewable-powered small cells. However, the small cells may suffer performance degradation due to the limited backhaul from macro base station (BS) and renewable intermittency. In this paper, we introduce a distributed HetNet architecture in which the renewable-powered small cell BSs collaboratively exchange information and allocate the spectrum and power resources by themselves. Considering the uncertainty of the available spectrum, renewable energy supply and traffic loads, a stochastic optimization problem is formulated to maximize the energy efficiency for distributed small cell BSs. A distributed resource allocation algorithm is proposed to obtain the optimal spectrum and power allocating strategies for each small cell. Finally, the numerical results demonstrate the effectiveness of the proposed algorithm.


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