Hierarchical resource allocation framework for hyper-dense small cell networks

Junfei Qiu, Guoru Ding, Qihui Wu, Zuping Qian, Theodoros A. Tsiftsis, Zhiyong Du, Youming Sun

Research output: Contribution to journalArticlepeer-review

42 Citations (Scopus)

Abstract

This paper considers joint power control and subchannel allocation for co-tier interference mitigation in extremely dense small cell networks, which is formulated as a combinatorial optimization problem. Since it is intractable to obtain the globally optimum assignment policy for existing techniques due to the huge computation and communication overheads in ultra-dense scenario, in this paper, we propose a hierarchical resource allocation framework to achieve a desirable solution. Specifically, the solution is obtained by dividing the original optimization problem into four stages in partially distributed manner. First, we propose a divide-and-conquer strategy by invoking clustering technique to decompose the dense network into smaller disjoint clusters. Then, within each cluster, one of the small cell access points is elected as a cluster head to carry out intra-cluster subchannel allocation with a low-complexity algorithm. To tackle the issue of inter-cluster interference, we further develop a distributed learning-base coordination mechanism. Moreover, a local power adjustment scheme is also presented to improve the system performance. Numerical results verify the efficiency of the proposed hierarchical scheme, and demonstrate that our solution outperforms the state-of-the-art methods, especially for hyper-dense networks.

Original languageEnglish
Article number7762062
Pages (from-to)8657-8669
Number of pages13
JournalIEEE Access
Volume4
DOIs
Publication statusPublished - 2016

Keywords

  • Hyper-dense networks
  • clustering
  • hierarchical resource allocation
  • small cells

ASJC Scopus subject areas

  • Computer Science(all)
  • Materials Science(all)
  • Engineering(all)

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