By Topic

A Dynamic Reservation and Call Admission Control Policy with HMM for Multimedia Cellular Networks

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Liang-Teh Lee ; Dept. of Comput. Sci. & Eng., Tatung Inst. of Technol., Taipei ; Chen-Feng Wu ; Chia-Ying Tseng ; Kang-Yuan Liu

The multimedia services are getting to become the major trend in next-generation cellular networks. Call admission control (CAC) plays the key role for guaranteeing the quality of service (QoS) in cellular networks. The goal which keeps both the call dropping probability (CDP) and call blocking probability (CBP) as low as possible is more difficult owing to the user indeterminate mobility. In this paper, the hidden Markov models (HMM) concept which is suitable for solving a dynamic situation is introduced and applied to the call admission control policy. The prediction of user mobility can be modeled and resolved as a decoding problem for the HMM. According to the prediction result, the proposed CAC method can reserve appropriate bandwidths for a handoff call beforehand, thus the call dropping probability is almost the same as the traditional guard channel policies that can keep lower CDP than unpredicted ones, moreover, the call blocking probability is also lower than the traditional guard channel policies since the proposed method can reserve the suitable bandwidths in the appropriate cells but not reserve a stationary ones which are always adopted by traditional CAC methods. Therefore, the proposed method can not only satisfy both CDP and CBP issues, but also improve the system utilization

Published in:

Communications and Information Technologies, 2006. ISCIT '06. International Symposium on

Date of Conference:

Oct. 18 2006-Sept. 20 2006