Robust resource allocation for two-tier HetNets: An interference-efficiency perspective

Yongjun Xu, Guan Gui, Tomoaki Ohtsuki, Haris Gacanin, Bamidele Adebisi, Hikmet Sari, Fumiyuki Adachi

研究成果: Article査読

5 被引用数 (Scopus)

抄録

The heterogeneous network (HetNet) is a promising network for beyond 5G to improve network capacity and spectral efficiency by developing low-power small cells within macro networks. Therefore, appropriate resource allocation schemes should be designed to balance between data rates and the cross-tier interference among different cells. To improve system robustness and also reduce the harmful interference to macrocell users (MUs), in this paper, we maximize the total interference efficiency (IE) (i.e., the ratio of the sum data rates of femtocell users (FUs) to the total cross-tier interference from femtocell base stations (FBSs) to MUs) with imperfect channel state information in a two-tier orthogonal frequency division multiple access based HetNet by jointly optimizing the transmit power of the FBS and the subcarrier allocation factor. Meanwhile, the outage rate constraint of each FU, the outage interference constraint of each MU, the maximum transmit power constraint of the FBS, and the subcarrier assignment constraint are considered simultaneously. The considered problem belongs to a mixed-integer non-linear programming problem and thus is NP-hard. The original problem with uncertain parameters is transformed into a deterministic and convex one solved by using the quadratic transformation approach, the variable relaxation approach, and Lagrange dual theory. The feasible region analysis and robust sensitivity are provided. Simulation results demonstrate that the proposed scheme has a lower interference to the MU and higher IE by comparing it with the traditional schemes.

本文言語English
論文番号9459965
ページ(範囲)1514-1528
ページ数15
ジャーナルIEEE Transactions on Green Communications and Networking
5
3
DOI
出版ステータスPublished - 2021 9月

ASJC Scopus subject areas

  • 再生可能エネルギー、持続可能性、環境
  • コンピュータ ネットワークおよび通信

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