RAT selection for heterogeneous wireless networks using support vector machine
Journal
2013 Research in Adaptive and Convergent Systems
Pages
220-225
ISBN
9781450323482
Date Issued
2013
Author(s)
Abstract
The next-generation cellular networks are envisioned to operate with heterogeneous wireless networks. Under such scenario, user device is required to periodically perform sensing for available RATs and switch between the one that best fits its current usage scenario. Such requirement may be highly energy-consuming; hence, efficient RAT selection mechanism is necessary to help user device select the best available RAT for its data transmission. In this paper, we propose a mechanism to make accurate RAT access recommendations to user devices by the Support Vector Machine tool, which can reduce unnecessary energy consumption due to periodic sensing. Simulation results demonstrate that our proposed methodology is highly accurate and capable of maintaining the average number of sensings as low as possible. ? 2013 ACM.
Subjects
ANDSF
heterogeneous networks
RAT selection
support vector machine
SDGs
Other Subjects
ANDSF; Average numbers; Cellular network; Heterogeneous wireless network; Highly accurate; Selection mechanism; Usage scenarios; User devices; Energy utilization; Heterogeneous networks; Next generation networks; Support vector machines; Wireless networks; Rats
Type
conference paper