ArticlePublisher preview available

LTE Cell Planning for Resource Allocation in Emergency Communication

May 2024
Wireless Personal Communications 135(2):1-42

DOI:10.1007/s11277-024-11103-5

Authors:

Sanjoy Debnath

Vel Tech Rangarajan Dr. Sagunthala R&D Institute of Science and technology , Silchar

Wasim Arif

National Institute Of Technology Silchar

Srimanta Baishya

National Institute Of Technology Silchar

The role of information and communication technology infrastructure is very crucial and perhaps most important during and post disaster (DPD) scenarios where thousands of lives are at risk. Communication services are expected to operate effectively in such demanding situations with restricted resources while fulfilling their core functionalities. The absence of coordinated cell planning taking the vulnerability of the geographical zone into account is a drawback that inhibits system operations and rescue efforts of public protection and disaster relief (PPDR) units. In this paper, the major issues of cell planning are encountered, and new algorithms for optimum LTE cell planning based on the hybrid dragonfly algorithm with differential evolution (DADE) are proposed under user coverage, user association, and capacity constraints. Thereafter, the feasibility of deployment and operation of an operator-independent emergency system (ES) integrated with balloon-based lightweight LTE eNodeB is analyzed to mitigate the DPD communication challenges. Then evaluate the optimal location for the deployment of ESs to cater to the users under the aforementioned constraint. Finally, optimum cell planning considering the vulnerability of the zone is discussed. The comparative comprehensive analysis of the results shows that the proposed algorithm offers superior convergence characteristics as well as time complexity as compared to the other state-of-the-art algorithms. Comparative results of normalized sum utility depict that the proposed algorithm outperforms the grey wolf optimizer (GWO), salp swarm algorithm (SSA), differential evolution (DE), whale optimization algorithm (WOA), and particle swarm optimization (PSO) based hybrid algorithms, respectively, by 0.5%, 4.3%, 6.5%, 8.6%, and 11.8%.

DADE based LTE Cell-Planning-Algorithm

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DADE based Algorithm for BS selection in operator independent scenario

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Cell planning algorithm for operator-independent scenario with known epicenter

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Distribution of BSs (of three operators) in one LSA with the historic epicenter location

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Zone wise categorization of BSs based on deployment density

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Vol.:(0123456789)

Wireless Personal Communications (2024) 135:1035–1076

https://doi.org/10.1007/s11277-024-11103-5

1 3

LTE Cell Planning forResource Allocation inEmergency

Communication

SanjoyDebnath1 · WasimArif2· DebaratiSen3· SrimantaBaishya2

Accepted: 12 April 2024 / Published online: 6 May 2024

Abstract

The role of information and communication technology infrastructure is very crucial and

perhaps most important during and post disaster (DPD) scenarios where thousands of lives

are at risk. Communication services are expected to operate eﬀectively in such demanding

situations with restricted resources while fulﬁlling their core functionalities. The absence

of coordinated cell planning taking the vulnerability of the geographical zone into account

is a drawback that inhibits system operations and rescue eﬀorts of public protection and

disaster relief (PPDR) units. In this paper, the major issues of cell planning are encoun-

tered, and new algorithms for optimum LTE cell planning based on the hybrid dragonﬂy

algorithm with diﬀerential evolution (DADE) are proposed under user coverage, user asso-

ciation, and capacity constraints.Thereafter, the feasibility of deployment and operation of

an operator-independent emergency system (ES) integrated with balloon-based lightweight

LTE eNodeB is analyzed to mitigate the DPD communication challenges. Then evaluate

the optimal location for the deployment of ESs to cater to the users under the aforemen-

tioned constraint. Finally, optimum cell planning considering the vulnerability of the zone

is discussed. The comparative comprehensive analysis of the results shows that the pro-

posed algorithm oﬀers superior convergence characteristics as well as time complexity as

compared to the other state-of-the-art algorithms. Comparative results of normalized sum

utility depict that the proposed algorithm outperforms the grey wolf optimizer (GWO), salp

swarm algorithm (SSA), diﬀerential evolution (DE), whale optimization algorithm (WOA),

and particle swarm optimization (PSO) based hybrid algorithms, respectively, by 0.5%,

4.3%, 6.5%, 8.6%, and 11.8%.

Keywords Optimization· Cell planning· Disaster communication· Vulnerable zone·

Resource allocation

* Sanjoy Debnath

sanjoydebnath80@gmail.com

1 Department ofECE, Vel Tech Rangarajan Dr. Sagunthala R & D Institute ofScience

andTechnology, Chennai, TamilNadu, India

2 Department ofECE, National Institute ofTechnology Silchar, Silchar, Assam, India

3 GSSST, Indian Institute ofTechnology Kharagpur, Kharagpur, WestBengal, India

Content courtesy of Springer Nature, terms of use apply. Rights reserved.

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