NDLI: ULA-based near-field source localisation in cognitive femtocell network: a comparative study of genetic algorithm hybridised with pattern search and swarm intelligence

Content Provider	IET Digital Library
Author	Sultan, Kiran Alharbey, R. A.
Abstract	The rapidly proliferating wireless technology brings an overwhelming increase in wireless applications at a continuous pace. In this framework, a major proportion of overall voice and data traffic originates from indoor users, directing the research world towards the deployment of low-power, low-cost, and low-range femtocell networks in the existing macrocells. However, this development will result in cross-tier interference as well as interference to the primary or licensed users. Cognitive femtocell networks smartly address this challenge through their intelligent sensing and decision-making capabilities. This study proposes a joint spectrum sensing technique, which involves individual sensing by multiple cognitive femtocell base stations (CFBSs), each equipped with a uniform linear array (ULA) of passive sensors. The local observations of CFBSs are then evaluated at the fusion centre to make final decision applying majority rule. In addition to the detection of a number of active primary femtocell networks (PFNs), the proposed near-field source localisation technique provides four-dimensional parameter estimation of each detected PFN signal, i.e. amplitude, angle-of-arrival, frequency, and range. Finally, the proposal is supported by three different implementations, i.e. Hybrid Genetic Algorithm, Particle Swarm Optimization, and Artificial Bee Colony. It also outsmarts an existing single-ULA based spectrum sensing technique in the literature.
Starting Page	1753
Ending Page	1761
Page Count	9
ISSN	17518628
Volume Number	13
e-ISSN	17518636
Issue Number	Issue 12, Jul (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/13/12
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2018.5038
Journal	IET Communications
Publisher Date	2019-04-10
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Active Primary Femtocell Network CFBSs Cognitive Femtocell Network Cognitive Radio Continuous Pace Cross-tier Interference Data Traffic Originates Decision-making Capabilities Direction of Arrival Estimation Femtocellular Radio Final Decision Applying Majority Rule Genetic Algorithm Individual Sensing Indoor User Intelligent Sensing Joint Spectrum Sensing Technique Low-range Femtocell Network Mobile Radio System Multiple Cognitive Femtocell Base Stations Near-field Source Localisation Near-field Source Localisation Technique Optimisation Technique Particle Swarm Optimisation Pattern Search Primary User Signal Processing And Detection Single-ULA-based Spectrum Sensing Technique Swarm Intelligence Voice Wireless Application Wireless Technology
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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