Optimization of Dynamic Allocation of Transmitter Power in a DS-CDMA Cellular System Using Genetic Algorithms
Summary :
In this paper, we propose an approach to solve the power control issue in a DS-CDMA cellular system using genetic algorithms (GAs). The transmitter power control developed in this paper has been proven to be efficient to control co-channel interference, to increase bandwidth utilization and to balance the comprehensive services that are sharing among all the mobiles with attaining a common signal-to-interference ratio(SIR). Most of the previous studies have assumed that the transmitter power level is controlled in a constant domain under the assumption of uniform distribution of users in the coverage area or in a continuous domain. In this paper, the optimal centralized power control (CPC) vector is characterized and its optimal solution for CPC is presented using GAs in a large-scale DS-CDMA cellular system under the realistic context that means random allocation of active users in the entire coverage area. Emphasis is put on the balance of services and convergence rate by using GAs.
- Publication
- IEICE TRANSACTIONS on Fundamentals Vol.E84-A No.10 pp.2436-2446
- Publication Date
- 2001/10/01
- Publicized
- Online ISSN
- DOI
- Type of Manuscript
- Special Section PAPER (Special Section on Information Theory and Its Applications)
- Category
- Communication Systems
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Jie ZHOU, Yoichi SHIRAISHI, Ushio YAMAMOTO, Yoshikuni ONOZATO, Hisakazu KIKUCHI, "Optimization of Dynamic Allocation of Transmitter Power in a DS-CDMA Cellular System Using Genetic Algorithms" in IEICE TRANSACTIONS on Fundamentals,
vol. E84-A, no. 10, pp. 2436-2446, October 2001, doi: .
Abstract: In this paper, we propose an approach to solve the power control issue in a DS-CDMA cellular system using genetic algorithms (GAs). The transmitter power control developed in this paper has been proven to be efficient to control co-channel interference, to increase bandwidth utilization and to balance the comprehensive services that are sharing among all the mobiles with attaining a common signal-to-interference ratio(SIR). Most of the previous studies have assumed that the transmitter power level is controlled in a constant domain under the assumption of uniform distribution of users in the coverage area or in a continuous domain. In this paper, the optimal centralized power control (CPC) vector is characterized and its optimal solution for CPC is presented using GAs in a large-scale DS-CDMA cellular system under the realistic context that means random allocation of active users in the entire coverage area. Emphasis is put on the balance of services and convergence rate by using GAs.
URL: https://global.ieice.org/en_transactions/fundamentals/10.1587/e84-a_10_2436/_p
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@ARTICLE{e84-a_10_2436,
author={Jie ZHOU, Yoichi SHIRAISHI, Ushio YAMAMOTO, Yoshikuni ONOZATO, Hisakazu KIKUCHI, },
journal={IEICE TRANSACTIONS on Fundamentals},
title={Optimization of Dynamic Allocation of Transmitter Power in a DS-CDMA Cellular System Using Genetic Algorithms},
year={2001},
volume={E84-A},
number={10},
pages={2436-2446},
abstract={In this paper, we propose an approach to solve the power control issue in a DS-CDMA cellular system using genetic algorithms (GAs). The transmitter power control developed in this paper has been proven to be efficient to control co-channel interference, to increase bandwidth utilization and to balance the comprehensive services that are sharing among all the mobiles with attaining a common signal-to-interference ratio(SIR). Most of the previous studies have assumed that the transmitter power level is controlled in a constant domain under the assumption of uniform distribution of users in the coverage area or in a continuous domain. In this paper, the optimal centralized power control (CPC) vector is characterized and its optimal solution for CPC is presented using GAs in a large-scale DS-CDMA cellular system under the realistic context that means random allocation of active users in the entire coverage area. Emphasis is put on the balance of services and convergence rate by using GAs.},
keywords={},
doi={},
ISSN={},
month={October},}
Copy
TY - JOUR
TI - Optimization of Dynamic Allocation of Transmitter Power in a DS-CDMA Cellular System Using Genetic Algorithms
T2 - IEICE TRANSACTIONS on Fundamentals
SP - 2436
EP - 2446
AU - Jie ZHOU
AU - Yoichi SHIRAISHI
AU - Ushio YAMAMOTO
AU - Yoshikuni ONOZATO
AU - Hisakazu KIKUCHI
PY - 2001
DO -
JO - IEICE TRANSACTIONS on Fundamentals
SN -
VL - E84-A
IS - 10
JA - IEICE TRANSACTIONS on Fundamentals
Y1 - October 2001
AB - In this paper, we propose an approach to solve the power control issue in a DS-CDMA cellular system using genetic algorithms (GAs). The transmitter power control developed in this paper has been proven to be efficient to control co-channel interference, to increase bandwidth utilization and to balance the comprehensive services that are sharing among all the mobiles with attaining a common signal-to-interference ratio(SIR). Most of the previous studies have assumed that the transmitter power level is controlled in a constant domain under the assumption of uniform distribution of users in the coverage area or in a continuous domain. In this paper, the optimal centralized power control (CPC) vector is characterized and its optimal solution for CPC is presented using GAs in a large-scale DS-CDMA cellular system under the realistic context that means random allocation of active users in the entire coverage area. Emphasis is put on the balance of services and convergence rate by using GAs.
ER -
English
