Jointly optimal spectrum deployment and cognitive access for ase maximization of macro-femto HetNets

Lu Yang, S. H. Song, Khaled Letaief

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)

Abstract

To achieve higher spectral efficiency in future wireless networks, small cells have been conceived to be deployed over conventional macrocell networks, generating heterogeneous networks (HetNets). However, interference between different tiers of HetNets is the main bottleneck for high spectral efficiency. Spectrum access, including spectrum deployment and channel access, is one of the most powerful methods to manage the interference. Unfortunately, the optimal spectrum access scheme for macro-femto HetNets remains unknown. By allowing femtocells to dynamically access the available macro-tier spectrum in addition to their dedicated femto-tier spectrum through cognitive spectrum sensing, we propose a novel spectrum access scheme, which takes the existing schemes as special cases. By jointly optimizing three important system parameters, we maximize the area spectral efficiency (ASE) and determine the optimal spectrum access scheme for macro-femto HetNets. Analytical results imply that the optimal spectrum access scheme is determined by the optimum number of active links per unit area, which governs the interference level in each unit area. Simulation results validate the obtained analytical results and show that the proposed scheme outperforms existing schemes in terms of ASE.

Original languageEnglish
Title of host publication2015 IEEE International Conference on Communication Workshop, ICCW 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages100-105
Number of pages6
ISBN (Electronic)9781467363051
DOIs
Publication statusPublished - 8 Sep 2015
Externally publishedYes
EventIEEE International Conference on Communication Workshop, ICCW 2015 - London, United Kingdom
Duration: 8 Jun 201512 Jun 2015

Other

OtherIEEE International Conference on Communication Workshop, ICCW 2015
CountryUnited Kingdom
CityLondon
Period8/6/1512/6/15

Fingerprint

Heterogeneous networks
Macros
Femtocell
Wireless networks

Keywords

  • ASE
  • Heterogeneous networks
  • spectrum access

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Yang, L., Song, S. H., & Letaief, K. (2015). Jointly optimal spectrum deployment and cognitive access for ase maximization of macro-femto HetNets. In 2015 IEEE International Conference on Communication Workshop, ICCW 2015 (pp. 100-105). [7247162] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICCW.2015.7247162

Jointly optimal spectrum deployment and cognitive access for ase maximization of macro-femto HetNets. / Yang, Lu; Song, S. H.; Letaief, Khaled.

2015 IEEE International Conference on Communication Workshop, ICCW 2015. Institute of Electrical and Electronics Engineers Inc., 2015. p. 100-105 7247162.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yang, L, Song, SH & Letaief, K 2015, Jointly optimal spectrum deployment and cognitive access for ase maximization of macro-femto HetNets. in 2015 IEEE International Conference on Communication Workshop, ICCW 2015., 7247162, Institute of Electrical and Electronics Engineers Inc., pp. 100-105, IEEE International Conference on Communication Workshop, ICCW 2015, London, United Kingdom, 8/6/15. https://doi.org/10.1109/ICCW.2015.7247162
Yang L, Song SH, Letaief K. Jointly optimal spectrum deployment and cognitive access for ase maximization of macro-femto HetNets. In 2015 IEEE International Conference on Communication Workshop, ICCW 2015. Institute of Electrical and Electronics Engineers Inc. 2015. p. 100-105. 7247162 https://doi.org/10.1109/ICCW.2015.7247162
Yang, Lu ; Song, S. H. ; Letaief, Khaled. / Jointly optimal spectrum deployment and cognitive access for ase maximization of macro-femto HetNets. 2015 IEEE International Conference on Communication Workshop, ICCW 2015. Institute of Electrical and Electronics Engineers Inc., 2015. pp. 100-105
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