Energy efficiency of channels under additive Gaussian-mixture noise in the low-power regime

Mohammad Ranjbar, Nghi H. Tran, Mustafa C Gursoy, Hamid Reza Bahrami

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

3 Scopus citations

Abstract

This paper investigates the energy efficiency of communication channels subject to additive Gaussian mixture interference in the low-power regime. This channel is widely used to capture the asynchronism in heterogeneous cellular networks. In particular, we characterize the low-signal-to-noise-ratio (low-SNR) metrics of minimum energy per bit or capacity per unit cost and the wideband slope of the spectral-efficiency curve. Instead of directly maximizing the mutual information or determining the optimal input, we make use of the characterization that the first derivative of the capacity with respect to SNR at SNR= 0 can be determined from the Kullback-Leibler divergence without identifying the optimal input. We also identify the wideband slope of spectral efficiency in closed-form by relying on the discreteness in amplitude of the capacity-achieving input. The characterization of these fundamental energy efficiency metrics allows us to find the signaling strategies that are optimally efficient in the low-SNR regime and obtain an analytical confirmation of the earlier information-theoretic findings.

Original languageEnglish (US)
Title of host publication2016 IEEE International Conference on Communications, ICC 2016
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479966646
DOIs
StatePublished - Jul 12 2016
Event2016 IEEE International Conference on Communications, ICC 2016 - Kuala Lumpur, Malaysia
Duration: May 22 2016May 27 2016

Other

Other2016 IEEE International Conference on Communications, ICC 2016
CountryMalaysia
CityKuala Lumpur
Period5/22/165/27/16

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Keywords

  • Channel capacity
  • Energy efficiency
  • Gausian mixture interference
  • Heterogeneous cellular networks
  • Optimal inputs
  • Spectral efficiency
  • Wideband slope

ASJC Scopus subject areas

  • Computer Networks and Communications

Cite this

Ranjbar, M., Tran, N. H., Gursoy, M. C., & Bahrami, H. R. (2016). Energy efficiency of channels under additive Gaussian-mixture noise in the low-power regime. In 2016 IEEE International Conference on Communications, ICC 2016 [7510804] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICC.2016.7510804