Stochastic control of handoffs in cellular networks

Author

Rezaiifar, Ramin ; Makowski, Armand M. ; Kumar, Srikanta P.

Author_Institution

Dept. of Electr. Eng., Maryland Univ., College Park, MD, USA

Volume

13

Issue

7

fYear

1995

fDate

9/1/1995 12:00:00 AM

Firstpage

1348

Lastpage

1362

Abstract

A dynamic programming formulation is used to obtain an optimal strategy for the handoff problem in cellular radio systems. The formulation includes the modeling of the underlying randomness in received signal strengths as well as the movements of the mobile. The cost function is designed such that there is a cost associated with switching and a reward for improving the quality of the call. The optimum decision is characterized by a threshold on the difference between the measured power that the mobile receives from the base stations. Also we study the problem of choosing the “best” fixed threshold that minimizes the cost function. The performance of the optimal and suboptimal strategies are compared

Keywords

Markov processes; cellular radio; dynamic programming; optimal control; stochastic systems; telecommunication control; Markov decision process; best fixed threshold; cellular radio systems; cost function; dynamic programming; handoff problem; optimal strategy; received signal strengths; stochastic control; suboptimal strategy; underlying randomness; Base stations; Communication system control; Cost function; Frequency; Intelligent networks; Land mobile radio cellular systems; Optimal control; Radio control; Stochastic processes; Stochastic systems;

fLanguage

English

Journal_Title

Selected Areas in Communications, IEEE Journal on

Publisher

ieee

ISSN

0733-8716

Type

jour

DOI

10.1109/49.414652

Filename

414652