The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. ex. Some numerals are expressed as "XNUMX".
Copyrights notice
The original paper is in English. Non-English content has been machine-translated and may contain typographical errors or mistranslations. Copyrights notice
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134
본 논문에서는 시간적 시스템 처리량과 이웃 기지국(셀)의 활성화 상태를 기반으로 이종 네트워크에서 기지국(BS)에 대한 온라인 확률론적 활성화/비활성화 제어 방법을 제안한다. 기존의 방법은 관찰된 시스템 처리량과 과거 여러 연속 이산 시간 사이에 해당 BS의 활성화/비활성화 상태의 변화를 기반으로 각 BS에서 확률론적 방식으로 활성화/비활성화 상태를 반복적으로 업데이트합니다. 기지국 활성화 제어는 셀 간 간섭 감소와 트래픽 오프로딩 효과 사이의 균형을 개선하여 시스템 처리량을 증가시키므로, 인접 기지국이 비활성화된 기지국을 활성화하면 시스템 성능이 향상될 가능성이 높으며 그 반대의 경우도 마찬가지이다. 제안 방법에서는 활성화 확률의 업데이트 제어에 활성화된 인접 기지국의 전송 전력 및 관심 기지국과의 거리를 고려한 유효 비율을 나타내는 메트릭을 새롭게 도입하였다. 이는 반복 알고리즘의 수렴 속도와 수렴 후 처리량 성능을 모두 향상시킵니다. 사용자 단말의 이동성을 고려한 컴퓨터 시뮬레이션 결과는 제안된 방법의 효율성을 보여준다.
Junya TANI
Tokyo University of Science
Kenichi HIGUCHI
Tokyo University of Science
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부
Junya TANI, Kenichi HIGUCHI, "Online Probabilistic Activation Control of Base Stations Utilizing Temporal System Throughput and Activation States of Neighbor Cells for Heterogeneous Networks" in IEICE TRANSACTIONS on Communications,
vol. E105-B, no. 11, pp. 1458-1466, November 2022, doi: 10.1587/transcom.2021EBT0005.
Abstract: In this paper, we propose an online probabilistic activation/deactivation control method for base stations (BSs) in heterogeneous networks based on the temporal system throughput and activation states of neighbor BSs (cells). The conventional method iteratively updates the activation/deactivation states in a probabilistic manner at each BS based on the change in the observed system throughput and activation/deactivation states of that BS between past multiple consecutive discrete times. Since BS activation control increases the system throughput by improving the tradeoff between the reduction in inter-cell interference and the traffic off-loading effect, the activation of a BS whose neighbor BSs are deactivated is likely to result in improved system performance and vice versa. The proposed method newly introduces a metric, which represents the effective ratio of the activated neighbor BSs considering their transmission power and distance to the BS of interest, to the update control of the activation probability. This improves both the convergence rate of the iterative algorithm and throughput performance after convergence. Computer simulation results, in which the mobility of the user terminals is taken into account, show the effectiveness of the proposed method.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2021EBT0005/_p
부
@ARTICLE{e105-b_11_1458,
author={Junya TANI, Kenichi HIGUCHI, },
journal={IEICE TRANSACTIONS on Communications},
title={Online Probabilistic Activation Control of Base Stations Utilizing Temporal System Throughput and Activation States of Neighbor Cells for Heterogeneous Networks},
year={2022},
volume={E105-B},
number={11},
pages={1458-1466},
abstract={In this paper, we propose an online probabilistic activation/deactivation control method for base stations (BSs) in heterogeneous networks based on the temporal system throughput and activation states of neighbor BSs (cells). The conventional method iteratively updates the activation/deactivation states in a probabilistic manner at each BS based on the change in the observed system throughput and activation/deactivation states of that BS between past multiple consecutive discrete times. Since BS activation control increases the system throughput by improving the tradeoff between the reduction in inter-cell interference and the traffic off-loading effect, the activation of a BS whose neighbor BSs are deactivated is likely to result in improved system performance and vice versa. The proposed method newly introduces a metric, which represents the effective ratio of the activated neighbor BSs considering their transmission power and distance to the BS of interest, to the update control of the activation probability. This improves both the convergence rate of the iterative algorithm and throughput performance after convergence. Computer simulation results, in which the mobility of the user terminals is taken into account, show the effectiveness of the proposed method.},
keywords={},
doi={10.1587/transcom.2021EBT0005},
ISSN={1745-1345},
month={November},}
부
TY - JOUR
TI - Online Probabilistic Activation Control of Base Stations Utilizing Temporal System Throughput and Activation States of Neighbor Cells for Heterogeneous Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1458
EP - 1466
AU - Junya TANI
AU - Kenichi HIGUCHI
PY - 2022
DO - 10.1587/transcom.2021EBT0005
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E105-B
IS - 11
JA - IEICE TRANSACTIONS on Communications
Y1 - November 2022
AB - In this paper, we propose an online probabilistic activation/deactivation control method for base stations (BSs) in heterogeneous networks based on the temporal system throughput and activation states of neighbor BSs (cells). The conventional method iteratively updates the activation/deactivation states in a probabilistic manner at each BS based on the change in the observed system throughput and activation/deactivation states of that BS between past multiple consecutive discrete times. Since BS activation control increases the system throughput by improving the tradeoff between the reduction in inter-cell interference and the traffic off-loading effect, the activation of a BS whose neighbor BSs are deactivated is likely to result in improved system performance and vice versa. The proposed method newly introduces a metric, which represents the effective ratio of the activated neighbor BSs considering their transmission power and distance to the BS of interest, to the update control of the activation probability. This improves both the convergence rate of the iterative algorithm and throughput performance after convergence. Computer simulation results, in which the mobility of the user terminals is taken into account, show the effectiveness of the proposed method.
ER -