Microcellular handoff control using robust prediction techniques

Author

Savkoor, Nilesh ; Sankar, Ravi

Author_Institution

Dept. of Electr. Eng., Univ. of South Florida, Tampa, FL, USA

fYear

1999

fDate

1999

Firstpage

337

Lastpage

339

Abstract

A new handoff schedule based on user mobility patterns and signal strength prediction for microcellular wireless networks is proposed. The signal strength prediction is based on the least mean square (LMS) adaptation algorithm and user mobility pattern is determined by a heuristic next-cell prediction technique. The handoffs previously performed can be used to predict the next visited cell of the user, once adequate information regarding past mobility patterns are available. In addition, signal strength-based prediction on the selected next-cell can aid in reduction of unnecessary handoffs to neighboring cells, not in the routine path of the user. Results show a significant reduction in the mean number of handoffs by the proposed combined prediction scheme

Keywords

least mean squares methods; microcellular radio; prediction theory; radio networks; telecommunication control; LMS adaptation algorithm; combined prediction scheme; handoff reduction; handoff schedule; heuristic next-cell prediction; least mean square; microcellular handoff control; microcellular wireless networks; past mobility patterns; robust prediction techniques; selected next-cell; signal strength prediction; user mobility pattern; user mobility patterns; Base stations; History; Least squares approximation; Microcell networks; Network servers; Prediction methods; Robust control; Robustness; Telecommunication traffic; Wireless networks;

fLanguage

English

Publisher

ieee

Conference_Titel

Southeastcon '99. Proceedings. IEEE

Conference_Location

Lexington, KY

Print_ISBN

0-7803-5237-8

Type

conf

DOI

10.1109/SECON.1999.766152

Filename

766152