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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

Sinh Cong LAM

VNU University of Engineering and Technology

The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.

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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 -