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
5659-5673
Zhao, Guogang
66a33bee-9c30-411b-bee7-3504ec772163
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
22 April 2024
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), .
(doi:10.1109/TVT.2023.3332028).
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.
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Accepted/In Press date: 8 November 2023
e-pub ahead of print date: 10 November 2023
Published date: 22 April 2024
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© 1967-2012 IEEE.
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
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Date deposited: 16 Nov 2023 14:42
Last modified: 02 Nov 2024 05:01
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Contributors
Author:
Guogang Zhao
Author:
Sheng Chen
Author:
Lajos Hanzo
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