Joint resource allocation for max-min throughput in multicell networks

Zhuo Li, Song Guo, Deze Zeng, Ahmed Barnawi, Ivan Stojmenovic

Research output: Journal article publicationJournal articleAcademic researchpeer-review

11 Citations (Scopus)


We investigate the resource-allocation problem in multicell networks targeting the max-min throughput of all cells. A joint optimization over power control, channel allocation, and user association is considered, and the problem is then formulated as a nonconvex mixed-integer nonlinear problem (MINLP). To solve this problem, we proposed an alternating-optimization-based algorithm, which applies branch-and-bound and simulated annealing in solving subproblems at each optimization step. We also demonstrate the convergence and efficiency of the proposed algorithms by thorough numerical experiments. The experimental results show that joint optimization over all resources outperforms the restricted optimization over individual resources significantly.
Original languageEnglish
Article number6797977
Pages (from-to)4546-4559
Number of pages14
JournalIEEE Transactions on Vehicular Technology
Issue number9
Publication statusPublished - 1 Nov 2014
Externally publishedYes


  • Channel assignment
  • load balancing
  • multicell networks
  • power allocation
  • resource management
  • user association

ASJC Scopus subject areas

  • Automotive Engineering
  • Aerospace Engineering
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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