Joint energy-spectral-efficiency optimization of CoMP and BS deployment in dense large-scale cellular networks
Joint energy-spectral-efficiency optimization of CoMP and BS deployment in dense large-scale cellular networks
In this paper, the energy-spectral efficiency (ESE) benefiting from the joint optimization of coordinated multipoint (CoMP) transmission and base station (BS) deployment is evaluated in the context of dense large-scale cellular network. We first derive a closed-form network ESE expression for a largescale CoMP-enhanced network, which allows us to quantify the influence of key network parameters on the achievable network ESE, including the BS density and the cooperation activation probability, characterized by a CoMP activation factor as well as the users’ behaviors, such as their geographical mobile-traffic intensity and average user rate. With the aid of this tractable ESE expression and for a given BS density, we next formulate a cellular scenario-aware CoMP activation optimization problem while considering the users’ outage probability as constraints to maximize the network’s ESE.We then jointly optimize the CoMP activation factor and the BS density to maximize the network ESE, again under the constraint of the users’ outage probability. Our simulation results confirm the accuracy of our analysis and verify the impact of several key parameters on the network ESE. Finally, the ESE improvement of our proposed strategies is evaluated under diverse scenarios, which provides valuable insight into the joint CoMP and BS deployment optimization in dense large-scale cellular networks.
4832-4847
Zhao, Guogang
66a33bee-9c30-411b-bee7-3504ec772163
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Zhao, Liqiang
6f028499-c197-4765-9666-c0105afa5b9c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
10 July 2017
Zhao, Guogang
66a33bee-9c30-411b-bee7-3504ec772163
Chen, Sheng
9310a111-f79a-48b8-98c7-383ca93cbb80
Zhao, Liqiang
6f028499-c197-4765-9666-c0105afa5b9c
Hanzo, Lajos
66e7266f-3066-4fc0-8391-e000acce71a1
Zhao, Guogang, Chen, Sheng, Zhao, Liqiang and Hanzo, Lajos
(2017)
Joint energy-spectral-efficiency optimization of CoMP and BS deployment in dense large-scale cellular networks.
IEEE Transactions on Wireless Communications, 16 (7), .
(doi:10.1109/TWC.2017.2703306).
Abstract
In this paper, the energy-spectral efficiency (ESE) benefiting from the joint optimization of coordinated multipoint (CoMP) transmission and base station (BS) deployment is evaluated in the context of dense large-scale cellular network. We first derive a closed-form network ESE expression for a largescale CoMP-enhanced network, which allows us to quantify the influence of key network parameters on the achievable network ESE, including the BS density and the cooperation activation probability, characterized by a CoMP activation factor as well as the users’ behaviors, such as their geographical mobile-traffic intensity and average user rate. With the aid of this tractable ESE expression and for a given BS density, we next formulate a cellular scenario-aware CoMP activation optimization problem while considering the users’ outage probability as constraints to maximize the network’s ESE.We then jointly optimize the CoMP activation factor and the BS density to maximize the network ESE, again under the constraint of the users’ outage probability. Our simulation results confirm the accuracy of our analysis and verify the impact of several key parameters on the network ESE. Finally, the ESE improvement of our proposed strategies is evaluated under diverse scenarios, which provides valuable insight into the joint CoMP and BS deployment optimization in dense large-scale cellular networks.
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TW-Sep-16-1281-F
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Accepted/In Press date: 3 May 2017
e-pub ahead of print date: 16 May 2017
Published date: 10 July 2017
Identifiers
Local EPrints ID: 412695
URI: http://eprints.soton.ac.uk/id/eprint/412695
ISSN: 1536-1276
PURE UUID: 5df72294-6335-4ee7-a221-177d3897d6f6
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Date deposited: 26 Jul 2017 16:30
Last modified: 18 Mar 2024 02:35
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Author:
Guogang Zhao
Author:
Sheng Chen
Author:
Liqiang Zhao
Author:
Lajos Hanzo
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