Name
Abstract | ||
|---|---|---|
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. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1142/S0218001421590291 | INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE |
Keywords | DocType | Volume |
Green HetNets, distributed resource allocation, renewable integration, energy efficiency | Journal | 35 |
Issue | ISSN | Citations |
08 | 0218-0014 | 0 |
PageRank | References | Authors |
0.34 | 0 | 2 |