Efficient spectrum access and co-existence with receiver nonlinearity: Frameworks and algorithms

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

Research output: Contribution to journalArticlepeer-review

3 Scopus citations


Radio frequency (RF) front-end nonlinearity significantly impairs receiver performance in non-intuitive ways. Receivers are susceptible to harmful adjacent channel interference, especially in next-generation networks with diverse radio access technologies, co-existing in space, time, and frequency. Vulnerabilities of receiver front-ends can have a severe detrimental effect on network performance and spectrum co-existence. In this paper, we propose centralized controller-based receiver-centric framework for spectrum access that accounts for receiver front-end nonlinearity, pre-selector filter bandwidth, and transmitter out-of-band emission characteristics for networks with diverse RF-layer characteristics. Furthermore, we propose computationally efficient algorithms to optimize the receiver-centric framework and examine network level performance. We demonstrate through extensive network simulations that the proposed receiver-centric framework provides substantially higher spectrum efficiency gains over receiver-agnostic spectrum access and improves co-existence in dense and diverse next-generation wireless networks. We further demonstrate through simulations that the proposed algorithms achieve close to optimal solutions for receiver-centric network optimization.

Original languageEnglish (US)
Article number8424241
Pages (from-to)6404-6418
Number of pages15
JournalIEEE Transactions on Wireless Communications
Issue number10
StatePublished - Oct 2018


  • 5G
  • adjacent channel interference
  • co-existence
  • intermodulation
  • network optimization
  • Receiver nonlinearity
  • RF front-end
  • spectrum sharing

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Applied Mathematics


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