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Joint resource allocation for max-min throughput in multicell networks

Li,Z, Guo,S, Zeng,D, Barnawi,A and Stojmenovic,I 2014, Joint resource allocation for max-min throughput in multicell networks, IEEE transactions on vehicular technology, vol. 63, no. 9, pp. 4546-4559, doi: 10.1109/TVT.2014.2317235.

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Title Joint resource allocation for max-min throughput in multicell networks
Author(s) Li,Z
Guo,S
Zeng,D
Barnawi,A
Stojmenovic,I
Journal name IEEE transactions on vehicular technology
Volume number 63
Issue number 9
Start page 4546
End page 4559
Publisher IEEE
Place of publication Piscataway, N.J
Publication date 2014-11-01
ISSN 0018-9545
Keyword(s) Channel assignment
load balancing
multicell networks
power allocation
resource management
user association
Science & Technology
Technology
Engineering, Electrical & Electronic
Telecommunications
Transportation Science & Technology
Engineering
Transportation
FEMTOCELL NETWORKS
OPTIMIZATION
WIRELESS
SYSTEMS
Summary 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.
Language eng
DOI 10.1109/TVT.2014.2317235
Field of Research 080503 Networking and Communications
Socio Economic Objective 970108 Expanding Knowledge in the Information and Computing Sciences
HERDC Research category C1 Refereed article in a scholarly journal
ERA Research output type C Journal article
Copyright notice ©2014, IEEE
Persistent URL http://hdl.handle.net/10536/DRO/DU:30072703

Document type: Journal Article
Collection: School of Information Technology
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