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Feasible Channel Assignment Using A Neural Network (1994)
| Content Provider | CiteSeerX |
|---|---|
| Author | Berger, Matthias Oliver |
| Description | This paper proposes a new algorithm using a maximum neural network model to solve a class of channel assignment problems in arbitrary cellular mobile radio systems that employ co-channel constraints. Unlike traditional neural nets used in optimization problems, the proposed network is guaranteed to deliver valid solutions when it converges and needs no parameter tuning. The power of the new method to solve this NP-complete problem will be shown in a number of simulations. 1 Introduction The channel assignment problem is cellular mobile radio systems is the task to assign a radio channel to each call made, while obeying interference constraints between channels adjacent in the spectrum [2, 4]. Conventional algorithms suffer from the fact that efficiently finding a valid channel assignment is known to be very difficult: channel assignment belongs to the class of NP-complete problems [1]. A cellular mobile radio system divides a plane into m cells z i . To communicate, each mobile phone ... |
| File Format | |
| Language | English |
| Publisher Date | 1994-01-01 |
| Publisher Institution | In ITS '94 |
| Access Restriction | Open |
| Subject Keyword | Channel Assignment Problem Traditional Neural Net Optimization Problem Feasible Channel Assignment Np-complete Problem Maximum Neural Network Model Arbitrary Cellular Mobile Radio System Cellular Mobile Radio System Radio Channel New Algorithm Interference Constraint Valid Solution Neural Network Valid Channel Assignment Assignment Belongs Co-channel Constraint Conventional Algorithm Suffer Mobile Phone New Method |
| Content Type | Text |
| Resource Type | Article |
