Performance Analysis and Optimization of Worst Case User in CoMP Ultra Dense Networks

Sinh Cong LAM

doi:10.1587/transcom.2023EBP3023

Performance Analysis and Optimization of Worst Case User in CoMP Ultra Dense Networks

Sinh Cong LAM

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In the cellular system, the Worst Case User (WCU), whose distances to three nearest BSs are the similar, usually achieves the lowest performance. Improving user performance, especially the WCU, is a big problem for both network designers and operators. This paper works on the WCU in terms of coverage probability analysis by the stochastic geometry tool and data rate optimization with the transmission power constraint by the reinforcement learning technique under the Stretched Pathloss Model (SPLM). In analysis, only fast fading from the WCU to the serving Base Stations (BSs) is taken into the analysis to derive the lower bound coverage probability. Furthermore, the paper assumes that the Coordinated Multi-Point (CoMP) technique is only employed for the WCU to enhance its downlink signal and avoid the explosion of Intercell Interference (ICI). Through the analysis and simulation, the paper states that to improve the WCU performance under bad wireless environments, an increase in transmission power can be a possible solution. However, in good environments, the deployment of advanced techniques such as Joint Transmission (JT), Joint Scheduling (JS), and reinforcement learning is an suitable solution.

Publication: IEICE TRANSACTIONS on Communications Vol.E106-B No.10 pp.979-986

Publication Date: 2023/10/01

Publicized: 2023/03/27

Online ISSN: 1745-1345

DOI: 10.1587/transcom.2023EBP3023

Type of Manuscript: PAPER

Category: Wireless Communication Technologies

Authors

Sinh Cong LAM
VNU University of Engineering and Technology

Keyword

worst case user, point poisson process, coverage probability, joint transmission, reinforcement learning, deep Q-learning

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Sinh Cong LAM, "Performance Analysis and Optimization of Worst Case User in CoMP Ultra Dense Networks" in IEICE TRANSACTIONS on Communications, vol. E106-B, no. 10, pp. 979-986, October 2023, doi: 10.1587/transcom.2023EBP3023.
Abstract: In the cellular system, the Worst Case User (WCU), whose distances to three nearest BSs are the similar, usually achieves the lowest performance. Improving user performance, especially the WCU, is a big problem for both network designers and operators. This paper works on the WCU in terms of coverage probability analysis by the stochastic geometry tool and data rate optimization with the transmission power constraint by the reinforcement learning technique under the Stretched Pathloss Model (SPLM). In analysis, only fast fading from the WCU to the serving Base Stations (BSs) is taken into the analysis to derive the lower bound coverage probability. Furthermore, the paper assumes that the Coordinated Multi-Point (CoMP) technique is only employed for the WCU to enhance its downlink signal and avoid the explosion of Intercell Interference (ICI). Through the analysis and simulation, the paper states that to improve the WCU performance under bad wireless environments, an increase in transmission power can be a possible solution. However, in good environments, the deployment of advanced techniques such as Joint Transmission (JT), Joint Scheduling (JS), and reinforcement learning is an suitable solution.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2023EBP3023/_p

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@ARTICLE{e106-b_10_979,
author={Sinh Cong LAM, },
journal={IEICE TRANSACTIONS on Communications},
title={Performance Analysis and Optimization of Worst Case User in CoMP Ultra Dense Networks},
year={2023},
volume={E106-B},
number={10},
pages={979-986},
abstract={In the cellular system, the Worst Case User (WCU), whose distances to three nearest BSs are the similar, usually achieves the lowest performance. Improving user performance, especially the WCU, is a big problem for both network designers and operators. This paper works on the WCU in terms of coverage probability analysis by the stochastic geometry tool and data rate optimization with the transmission power constraint by the reinforcement learning technique under the Stretched Pathloss Model (SPLM). In analysis, only fast fading from the WCU to the serving Base Stations (BSs) is taken into the analysis to derive the lower bound coverage probability. Furthermore, the paper assumes that the Coordinated Multi-Point (CoMP) technique is only employed for the WCU to enhance its downlink signal and avoid the explosion of Intercell Interference (ICI). Through the analysis and simulation, the paper states that to improve the WCU performance under bad wireless environments, an increase in transmission power can be a possible solution. However, in good environments, the deployment of advanced techniques such as Joint Transmission (JT), Joint Scheduling (JS), and reinforcement learning is an suitable solution.},
keywords={},
doi={10.1587/transcom.2023EBP3023},
ISSN={1745-1345},
month={October},}

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TY - JOUR
TI - Performance Analysis and Optimization of Worst Case User in CoMP Ultra Dense Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 979
EP - 986
AU - Sinh Cong LAM
PY - 2023
DO - 10.1587/transcom.2023EBP3023
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E106-B
IS - 10
JA - IEICE TRANSACTIONS on Communications
Y1 - October 2023
AB - In the cellular system, the Worst Case User (WCU), whose distances to three nearest BSs are the similar, usually achieves the lowest performance. Improving user performance, especially the WCU, is a big problem for both network designers and operators. This paper works on the WCU in terms of coverage probability analysis by the stochastic geometry tool and data rate optimization with the transmission power constraint by the reinforcement learning technique under the Stretched Pathloss Model (SPLM). In analysis, only fast fading from the WCU to the serving Base Stations (BSs) is taken into the analysis to derive the lower bound coverage probability. Furthermore, the paper assumes that the Coordinated Multi-Point (CoMP) technique is only employed for the WCU to enhance its downlink signal and avoid the explosion of Intercell Interference (ICI). Through the analysis and simulation, the paper states that to improve the WCU performance under bad wireless environments, an increase in transmission power can be a possible solution. However, in good environments, the deployment of advanced techniques such as Joint Transmission (JT), Joint Scheduling (JS), and reinforcement learning is an suitable solution.
ER -