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

Research output: Chapter in Book/Conference proceeding › Book Chapter › peer-review

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 - 21 Feb 2019
Externally published	Yes

ASJC Scopus subject areas

General Engineering
General Mathematics

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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

Cite this

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title = "Resource allocation in spectrum-sharing cognitive heterogeneous networks",

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.",

author = "Haijun Zhang and Tsiftsis, \{Theodoros A.\} and Julian Cheng and Leung, \{Victor C.M.\}",

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T1 - Resource allocation in spectrum-sharing cognitive heterogeneous networks

AU - Zhang, Haijun

AU - Tsiftsis, Theodoros A.

AU - Cheng, Julian

AU - Leung, Victor C.M.

PY - 2019/2/21

Y1 - 2019/2/21

N2 - 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.

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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DO - 10.1007/978-981-10-1394-2_19

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SN - 9789811013935

VL - 1-3

SP - 635

EP - 680

BT - Handbook of Cognitive Radio

PB - Springer Singapore

ER -

Resource allocation in spectrum-sharing cognitive heterogeneous networks

Abstract

ASJC Scopus subject areas

UN SDGs

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