2020 IEEE 3rd 5G World Forum (5GWF) 2020
DOI: 10.1109/5gwf49715.2020.9221257
|View full text |Cite
|
Sign up to set email alerts
|

Optimal Positioning of Small Cells for Coverage and Cost Efficient 5G Network Deployment: A Smart Simulated Annealing Approach

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1
1

Citation Types

0
4
0

Year Published

2022
2022
2024
2024

Publication Types

Select...
5
2

Relationship

0
7

Authors

Journals

citations
Cited by 8 publications
(4 citation statements)
references
References 17 publications
0
4
0
Order By: Relevance
“…Resource-aware routing is an ongoing development in the research community, with a relative study of resource-aware cross-layer routing for FANETs performed by the authors of the present paper in [35]. Cross-layering (the utilization of, e.g., physical/MAC-layer parameters in the context of network-layer routing) has the potential to increase performance for the physical and link-layer processing, which will, in turn, enable lower costs for operators in terms of extremely dense deployments namely in Industry 4.0 use-cases [36] or emergency applications [37]. Finally, the seamless mobility and integration of heterogeneous links for collaboration in the same ad hoc cellular network, will be supported by multi-connectivity and a cell-less architecture envisaged in [38] and enabled the utilization of novel scheduling algorithms and a new core network design.…”
Section: Discussionmentioning
confidence: 94%
“…Resource-aware routing is an ongoing development in the research community, with a relative study of resource-aware cross-layer routing for FANETs performed by the authors of the present paper in [35]. Cross-layering (the utilization of, e.g., physical/MAC-layer parameters in the context of network-layer routing) has the potential to increase performance for the physical and link-layer processing, which will, in turn, enable lower costs for operators in terms of extremely dense deployments namely in Industry 4.0 use-cases [36] or emergency applications [37]. Finally, the seamless mobility and integration of heterogeneous links for collaboration in the same ad hoc cellular network, will be supported by multi-connectivity and a cell-less architecture envisaged in [38] and enabled the utilization of novel scheduling algorithms and a new core network design.…”
Section: Discussionmentioning
confidence: 94%
“…For transportation-sector problems, it was first used for routing and location problems where authors implemented it in the traveling salesman problem and the p-median location problem [32]. SA is often used for solving similar positioning and allocation problems such as the allocation in electric vehicle charging stations [33], the positioning of small cells for coverage and for costefficient 5G network deployment [34], multi-base buoy passive localization [35], swarm optimization in underwater acoustic positioning [36,37], intelligent bus positioning based on Internet of Things [38], etc. SA was also applied for logistic hub location-allocation problems [39,40] and for solving pickup and delivery problems [41][42][43][44][45].…”
Section: Literature Reviewmentioning
confidence: 99%
“…Although a special disk-shaped blockage free regions (BFR) model is created, it is still time-consuming to evaluate the signal level of all grids in sequence. Based on a smart simulated annealing approach, the author of [36] designed two SC displacement schemes, random displacement approach and probed displacement approach, to find the optimal SC sites. However, it also needs to calculate the coverage rate grid by grid, and worse still, once the fitness function is calculated, the coverage quality of all grids must be calculated again.…”
Section: A Related Workmentioning
confidence: 99%