The University of Southampton
University of Southampton Institutional Repository

Energy-spectral-efficient heterogeneous cellular networks: joint optimization of cross-tier inter-BS cooperation and BS deployment

Energy-spectral-efficient heterogeneous cellular networks: joint optimization of cross-tier inter-BS cooperation and BS deployment
Energy-spectral-efficient heterogeneous cellular networks: joint optimization of cross-tier inter-BS cooperation and BS deployment
This paper enhances the energy/spectral utilization of a large-scale coordinated multi-point (CoMP) enabled two-tier heterogeneous cellular network (HCN) by the joint optimization of the associated cross-tier inter-BS cooperation and BS deployment, where a pair of BSs in different tiers can cooperate to transmit desired signals to the user equipment (UE) supported. We derive the energy-spectral efficiency (ESE) for the large-scale CoMP-enhanced two-tier HCN. Our ESE modeling distinctively includes: 1) The ESE’s dependence on the activation degree of cross-tier inter-BS cooperation is quantified, which can be flexibly harnessed for transforming the grave interference-limited situation of the tier-edge UEs into harmonious CoMP-support. 2) Both the BS densities in these two tiers and the large-scale user-behaviors (LSUBs) are explicitly integrated into our ESE modeling. Under this tractable ESE model, we first optimize the network’s ESE by choosing a suitable cooperation activation degree based on a specific cellular scenario, whilst satisfying the UE’s outage constraint. We continue by formulating the joint optimization problem of the cooperation activation degree and of the BS density for maximizing the ESE, while varying the LSUBs. Our simulation results confirm the accuracy of our ESE modeling and quantify the impact of network parameters on the achievable ESE. We demonstrate that the proposed joint optimization strategy has a significantly higher ESE than its optimization counterpart only considering the cooperation
activation degree. Our solution may be expected to pave the way for improving the resource efficiency of large-scale dense HCNs.
base station deployment, Cellular networks, coordinated multi-point (CoMP), energy-spectral efficiency (ESE), Geometry, Large-scale dense cellular networks, large-scale users' behaviors (LSUBs), Mathematical models, Optimization, Resource management, Stochastic processes, Symbols
0018-9545
5659-5673
Zhao, Guogang
66a33bee-9c30-411b-bee7-3504ec772163
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhao, Guogang
66a33bee-9c30-411b-bee7-3504ec772163
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1

Zhao, Guogang, Chen, Sheng and Hanzo, Lajos (2024) Energy-spectral-efficient heterogeneous cellular networks: joint optimization of cross-tier inter-BS cooperation and BS deployment. IEEE Transactions on Vehicular Technology, 73 (4), 5659-5673. (doi:10.1109/TVT.2023.3332028).

Record type: Article

Abstract

This paper enhances the energy/spectral utilization of a large-scale coordinated multi-point (CoMP) enabled two-tier heterogeneous cellular network (HCN) by the joint optimization of the associated cross-tier inter-BS cooperation and BS deployment, where a pair of BSs in different tiers can cooperate to transmit desired signals to the user equipment (UE) supported. We derive the energy-spectral efficiency (ESE) for the large-scale CoMP-enhanced two-tier HCN. Our ESE modeling distinctively includes: 1) The ESE’s dependence on the activation degree of cross-tier inter-BS cooperation is quantified, which can be flexibly harnessed for transforming the grave interference-limited situation of the tier-edge UEs into harmonious CoMP-support. 2) Both the BS densities in these two tiers and the large-scale user-behaviors (LSUBs) are explicitly integrated into our ESE modeling. Under this tractable ESE model, we first optimize the network’s ESE by choosing a suitable cooperation activation degree based on a specific cellular scenario, whilst satisfying the UE’s outage constraint. We continue by formulating the joint optimization problem of the cooperation activation degree and of the BS density for maximizing the ESE, while varying the LSUBs. Our simulation results confirm the accuracy of our ESE modeling and quantify the impact of network parameters on the achievable ESE. We demonstrate that the proposed joint optimization strategy has a significantly higher ESE than its optimization counterpart only considering the cooperation
activation degree. Our solution may be expected to pave the way for improving the resource efficiency of large-scale dense HCNs.

Text
clean-for-xplore - Accepted Manuscript
Available under License Creative Commons Attribution.
Download (479kB)
Text
TV2024-Apr - Version of Record
Restricted to Repository staff only
Request a copy

More information

Accepted/In Press date: 8 November 2023
e-pub ahead of print date: 10 November 2023
Published date: 22 April 2024
Keywords: base station deployment, Cellular networks, coordinated multi-point (CoMP), energy-spectral efficiency (ESE), Geometry, Large-scale dense cellular networks, large-scale users' behaviors (LSUBs), Mathematical models, Optimization, Resource management, Stochastic processes, Symbols

Identifiers

Local EPrints ID: 484525
URI: http://eprints.soton.ac.uk/id/eprint/484525
ISSN: 0018-9545
PURE UUID: 18c459d9-1cef-4e4f-bdb5-1afb8d431647
ORCID for Lajos Hanzo: ORCID iD orcid.org/0000-0002-2636-5214

Catalogue record

Date deposited: 16 Nov 2023 14:42
Last modified: 23 Apr 2024 04:01

Export record

Altmetrics

Contributors

Author: Guogang Zhao
Author: Sheng Chen
Author: Lajos Hanzo ORCID iD

Download statistics

Downloads from ePrints over the past year. Other digital versions may also be available to download e.g. from the publisher's website.

View more statistics

Atom RSS 1.0 RSS 2.0

Contact ePrints Soton: eprints@soton.ac.uk

ePrints Soton supports OAI 2.0 with a base URL of http://eprints.soton.ac.uk/cgi/oai2

This repository has been built using EPrints software, developed at the University of Southampton, but available to everyone to use.

We use cookies to ensure that we give you the best experience on our website. If you continue without changing your settings, we will assume that you are happy to receive cookies on the University of Southampton website.

×