| Autor: |
Yongjun XU, Hao XIE, Qianbin CHEN, Jinzhao LIN, Qilie LIU |
| Jazyk: |
čínština |
| Rok vydání: |
2020 |
| Předmět: |
|
| Zdroj: |
Tongxin xuebao, Vol 41, Pp 131-140 (2020) |
| Druh dokumentu: |
article |
| ISSN: |
1000-436X |
| DOI: |
10.11959/j.issn.1000-436x.2020101 |
| Popis: |
In order to improve the suppression capability of parametric perturbation and energy efficiency (EE) of heterogeneous networks (HetNets),a robust resource allocation algorithm was proposed to maximize system EE for reducing cross-tier interference power in non-orthogonal multiple access (NOMA) based HetNets.Firstly,the resource optimization problem was formulated as a mixed integer and nonlinear programming one under the constraints of the interference power of macrocell users,maximum transmit power of small cell base station (BS),resource block assignment and the quality of service (QoS) requirement of each small cell user.Then,based on ellipsoid bounded channel uncertainty models,the original problem was converted into the equivalent convex optimization problem by using the convex relaxation method,Dinkelbach method and the successive convex approximation (SCA) method.The analytical solutions were obtained by using the Lagrangian dual approach.Simulation results verifiy that the proposed algorithm had better EE and robustness by comparing it with the existing algorithm under perfect channel state information. |
| Databáze: |
Directory of Open Access Journals |
| Externí odkaz: |
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