Resource allocation in spectrum-sharing cognitive heterogeneous networks

Haijun Zhang, Theodoros Tsiftsis, Julian Cheng, Victor C.M. Leung

Research output: Chapter in Book/Report/Conference proceedingChapter

Abstract

Cognitive radio-enabled heterogeneous networks are an emerging technology to address the exponential increase of mobile traffic demand in the next-generation mobile communications. Recently, many technological issues such as resource allocation and interference mitigation pertaining to cognitive heterogeneous networks have been studied, but most studies focus on maximizing spectral efficiency. This chapter introduces the resource allocation problem in cognitive heterogeneous networks, where the cross-tier interference mitigation, imperfect spectrum sensing, and energy efficiency are considered. The optimization of power allocation is formulated as a non-convex optimization problem, which is then transformed to a convex optimization problem. An iterative power control algorithm is developed by considering imperfect spectrum sensing, cross-tier interference mitigation, and energy efficiency.

Original languageEnglish
Title of host publicationHandbook of Cognitive Radio
PublisherSpringer Singapore
Pages635-680
Number of pages46
Volume1-3
ISBN (Electronic)9789811013942
ISBN (Print)9789811013935
DOIs
Publication statusPublished - Feb 21 2019

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ASJC Scopus subject areas

  • Engineering(all)
  • Mathematics(all)

Cite this

Zhang, H., Tsiftsis, T., Cheng, J., & Leung, V. C. M. (2019). Resource allocation in spectrum-sharing cognitive heterogeneous networks. In Handbook of Cognitive Radio (Vol. 1-3, pp. 635-680). Springer Singapore. https://doi.org/10.1007/978-981-10-1394-2_19