.png){kind=icon}
Return
Wireless resource management using genetic algorithm for mobiles equilibrium
.png){kind=icon}
PRE
AI
DOI：10.1016/S1389-1286(01)00233-X.png)
.png){kind=icon}
Original request for help.png){kind=icon}
Share.png){kind=icon}
Save
Abstract
En 中文
Resource scheduling is essential in order to provide suitable signal quality and to achieve good channel efficiency in wireless mobile networks, A novel algorithm is proposed for controlling the transmitter power and transmission rate of mobile calls cooperatively. Previous work has focused on handling them separately. The proposed scheme is called the genetic algorithm for mobiles equilibrium. Based on an evolutionary computation model, the base station (BS) tries to achieve an adequate equilibrium for its users: each mobile station (MS) can send its traffic with the minimum power to compensate for its own path loss and interference. Thus, the MSs battery life is extended while simultaneously reducing the interference it generates, as seen by its neighbors. The result is that the BS will be able to handle additional users since it controls both transmission power and rate instead of regulating power only. (C) 2001 Elsevier Science B.V. All rights reserved.
Keywords:
wireless QoS
power control
genetic algorithms
AI Summary
Key information extracted from the uploaded paper, including a brief overview, abstract, background, key highlights, visual analysis, and future outlook.
Journal
IF:
4.6
Papers:
1.7K
Citations:
1.6W
Organization
No organization information available
Cited Papers
.png){kind=icon}
ShareSave
ShareSaveShareSaveRate-regulated power control for supporting flexible transmission in future CDMA mobile networks
PREAI
ShareSaveShareSaveShareSave
View more