Efficient spectrum sharing with rf diversity: adapting to nonlinearity of front ends

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

Research output: Contribution to journalConference articlepeer-review

5 Scopus citations


RF front-end characteristics significantly impact the performance of the receiver. Receivers are vulnerable to harmful adjacent channel interference, especially in shared spectrum environments, which allow a free-style of spectrum access with diverse receiver technologies accessing the same band of spectrum. Channel assignments agnostic to receiver characteristics can have a severe detrimental effect on network level performance of a wireless network. In this paper, we develop a novel dynamic channel assignment framework which accounts for the vulnerabilities posed by RF front end, in particular, receiver pre-selector bandwidth and front-end nonlinearity. We further propose an approximate, heuristic, greedy algorithm for channel assignment which is computationally efficient and provides a near-optimal solution. We demonstrate through simulations that the developed framework of receiver characteristics aware dynamic channel assignment will substantially improve the network-wide data rate, and thereby the overall spectrum efficiency of the wireless network. We further demonstrate that the approximate algorithm provides a near-optimal solution for channel assignment in the statistical sense.

Original languageEnglish (US)
Article number7417714
JournalProceedings - IEEE Global Communications Conference, GLOBECOM
StatePublished - 2015
Event58th IEEE Global Communications Conference, GLOBECOM 2015 - San Diego, United States
Duration: Dec 6 2015Dec 10 2015

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Networks and Communications
  • Hardware and Architecture
  • Signal Processing


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