NDLI: Hybrid channel allocation in cellular network based on genetic algorithm and particle swarm optimisation methods

Content Provider	IET Digital Library
Author	Ohatkar, Sharada N. Bormane, Dattatraya S.
Abstract	The challenge in wireless cellular network is to suit the changeable traffic demand by assigning appropriate channels from limited frequency spectrum and to maintain a desirable stratum of interference level. The system capacity can be improved by a reduction in interference effect by applying effectual channel assignment technique. This work proposes, genetic algorithm (GA) and particle swarm optimisation (PSO) techniques, with hybrid channel allocation for interference reduction. In GA, integer genetic representation for crossover and mutation operation is applied and graph theory based fitness function is designed. In PSO, hard and soft constraints are used for designing fitness function. The proposed GA and PSO compute co-channel and co-site interferences represented by interfering edges, the computation time and generations/iterations required. The signal-to-interference ratio (SIR) is determined, considering attenuation of the signal predicted by applying Hata propagation model. The performances of the proposed methods are applied on benchmark instances and are compared with the reported literature. The proposed PSO shows improvement in performance than GA in terms of reduction in interference, required computation time, generations/iterations required also improvement in the SIR.
Starting Page	1571
Ending Page	1578
Page Count	8
ISSN	17518628
Volume Number	10
e-ISSN	17518636
Issue Number	Issue 13, Sep (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/10/13
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2015.0757
Journal	IET Communications
Publisher Date	2016-09-01
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Cellular Radio Channel Allocation Channel Assignment Technique Electromagnetic Compatibility Genetic Algorithm Hata Propagation Model Hybrid Channel Allocation Interference Interference Reduction Interference Suppression Mobile Radio System Optimisation Technique Particle Swarm Optimisation Particle Swarm Optimisation Method Spread Spectrum Communication Wireless Cellular Network
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

Sl.	Authority	Responsibilities	Communication Details
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
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Joint channel selection and optimal power allocation for multi-cell D2D communications underlaying cellular networks

Interference mitigation and capacity enhancement of cognitive radio networks using modified greedy algorithm/channel assignment and power allocation techniques

Interference-aware multi-hop path selection for device-to-device communications in a cellular interference environment

Power allocation optimisation for high throughput with mixed spectrum access based on interference evaluation strategy in cognitive relay networks

Optimisation of secrecy rate in cooperative device to device communications underlaying cellular networks

Optimising coverage efficiency in heterogeneous wireless cellular networks

Low-complexity user pairing and power allocation algorithm for 5G cellular network non-orthogonal multiple access

Distributed resource allocation optimisation algorithm based on particle swarm optimisation in wireless sensor network

Robust resource allocation for heterogeneous wireless network: a worst-case optimisation

Hybrid channel allocation in cellular network based on genetic algorithm and particle swarm optimisation methods

Similar Documents

Joint channel selection and optimal power allocation for multi-cell D2D communications underlaying cellular networks

Interference mitigation and capacity enhancement of cognitive radio networks using modified greedy algorithm/channel assignment and power allocation techniques

Interference-aware multi-hop path selection for device-to-device communications in a cellular interference environment

Power allocation optimisation for high throughput with mixed spectrum access based on interference evaluation strategy in cognitive relay networks

Optimisation of secrecy rate in cooperative device to device communications underlaying cellular networks

Optimising coverage efficiency in heterogeneous wireless cellular networks

Low-complexity user pairing and power allocation algorithm for 5G cellular network non-orthogonal multiple access

Distributed resource allocation optimisation algorithm based on particle swarm optimisation in wireless sensor network

Robust resource allocation for heterogeneous wireless network: a worst-case optimisation

Hybrid channel allocation in cellular network based on genetic algorithm and particle swarm optimisation methods