Energy-efficient radio resource management for next generation dense HetNet

Abolfazl Mehbod Niya, Walid Saad, Fumiyuki Adachi, Rintaro Yoneya, Ismail Guvenc

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

3 Citations (Scopus)

Abstract

Designing high-speed, energy-efficient heterogeneous wireless networks has recently emerged as a key research challenge. A novel approach for radio resource management at the base station (BS) level is introduced with the objective of improving the spectral-efficiency, while keeping the energy-efficiency (EE) at an acceptable level. In this paper, a hybrid opportunistic ON/OFF switching (OOFS) and dynamic channel allocation (DCA) mechanism is proposed. The problem is formulated as a non-cooperative game between the BSs who seek to decide on their transmission mode and channel allocation parameters. To solve this game, a two-step algorithm is proposed. At first, a mixed-strategy game is used, so the BSs may decide independently about their power management strategy. In the second step, the BS selects its downlink channel using a fully distributed channel segregation approach. In dense heterogeneous environments, the DCA algorithm shows a significant improvement in terms of BS throughput over OOFS algorithm, while keeping an acceptable EE level comparable to OOFS.

Original languageEnglish
Title of host publication5th International Conference on Energy Aware Computing Systems and Applications, ICEAC 2015
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479917716
DOIs
Publication statusPublished - 2015 Dec 9
Event5th International Conference on Energy Aware Computing Systems and Applications, ICEAC 2015 - Cairo, Egypt
Duration: 2015 Mar 242015 Mar 26

Publication series

Name5th International Conference on Energy Aware Computing Systems and Applications, ICEAC 2015

Other

Other5th International Conference on Energy Aware Computing Systems and Applications, ICEAC 2015
CountryEgypt
CityCairo
Period15/3/2415/3/26

Keywords

  • Channel segregation
  • ON/OFF Switching
  • distributed design
  • dynamic channel allocation
  • energy-efficiency

ASJC Scopus subject areas

  • Computer Science Applications
  • Energy Engineering and Power Technology

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