Network aware spectrum efficiency metric for heterogeneous and dynamic radio environments

Aditya V. Padaki, Ravi Tandon, Jeffrey H. Reed

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

3 Scopus citations


In this paper, we formalize a new definition for spectrum efficiency, with the specific goal of addressing the diverse needs and requirements of various technologies and users. Existing metrics for spectrum efficiency do not account for changing radio environments. Hence, they are insufficient for future systems which employ dynamic allocation schemes. We introduce a heuristic parameterized definition for spectrum efficiency dependent on the network dynamics, radio environment and diverse requirements of technologies. This metric accounts for the frequency use and reuse, interference footprint of a user, and has a parameter to specify priority/importance for users/bits (e.g. public safety). We study the behavior and the optimal transmit power to maximize the efficiency for a point-to-point link. We numerically evaluate the efficiency for a two user case, and discuss the trade-offs involved. Overall, the proposed metric accounts for the interplay between users in a network to evaluate efficiency of spectrum utilization.

Original languageEnglish (US)
Title of host publicationConference Record of the 48th Asilomar Conference on Signals, Systems and Computers
EditorsMichael B. Matthews
PublisherIEEE Computer Society
Number of pages5
ISBN (Electronic)9781479982974
StatePublished - Apr 24 2015
Externally publishedYes
Event48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015 - Pacific Grove, United States
Duration: Nov 2 2014Nov 5 2014

Publication series

NameConference Record - Asilomar Conference on Signals, Systems and Computers
ISSN (Print)1058-6393


Other48th Asilomar Conference on Signals, Systems and Computers, ACSSC 2015
Country/TerritoryUnited States
CityPacific Grove


  • Area spectral efficiency
  • Dynamic spectrum access
  • Spectrum efficiency
  • Spectrum sharing

ASJC Scopus subject areas

  • Signal Processing
  • Computer Networks and Communications

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