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Energy efficient inter-frequency small cell discovery in heterogeneous networks

  • Oluwakayode Onireti
  • , Ali Imran
  • , Muhammad Ali Imran
  • , Rahim Tafazolli
  • University of Surrey
  • University of Oklahoma

Research output: Contribution to journalArticlepeer-review

29 Scopus citations

Abstract

In this paper, using stochastic geometry, we investigate the average energy efficiency (AEE) of the user terminal (UT) in the uplink of a two-tier heterogeneous network, where the two tiers are operated on separate carrier frequencies. In such a deployment, a typical UT must periodically perform the interfrequency small-cell discovery (ISCD) process to discover small cells in its neighborhood and benefit from the high data rate and traffic offloading opportunity that small cells present. We assume that the base stations of each tier and UTs are randomly located, and we derive the average ergodic rate and UT power consumption, which are later used for our AEE evaluation. The AEE incorporates the percentage of time that a typical UT missed small-cell offloading opportunity as a result of the periodicity of the ISCD process. The additional power consumed by the UT due to the ISCD measurement is also included. Moreover, we derive the optimal ISCD periodicity based on the UT's average energy consumption (AEC) and AEE. Our results reveal that ISCD periodicity must be selected with the objective of either minimizing the UT's AEC or maximizing the UT's AEE.

Original languageEnglish
Article number7279200
Pages (from-to)7122-7135
Number of pages14
JournalIEEE Transactions on Vehicular Technology
Volume65
Issue number9
DOIs
StatePublished - Sep 2016
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Energy efficiency
  • Fractional power control
  • Heterogeneous cellular network
  • Small-cell discovery
  • Stochastic geometry

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