Resource allocation in spectrum-sharing cognitive heterogeneous networks

Haijun Zhang; Theodoros A. Tsiftsis; Julian Cheng; Victor C.M. Leung

doi:10.1007/978-981-10-1394-2_19

Resource allocation in spectrum-sharing cognitive heterogeneous networks

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

Department of Electrical and Computer Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Citation (Scopus)

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 language	English
Title of host publication	Handbook of Cognitive Radio
Publisher	Springer Singapore
Pages	635-680
Number of pages	46
Volume	1-3
ISBN (Electronic)	9789811013942
ISBN (Print)	9789811013935
DOIs	https://doi.org/10.1007/978-981-10-1394-2_19
Publication status	Published - Feb 21 2019

ASJC Scopus subject areas

Engineering(all)
Mathematics(all)

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AB - 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.

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