A comprehensive review of methods for the channel allocation problem / Jayrani Cheeneebash and Harry Coomar Shumsher Rughooputh.

Format:

Book

Author/Creator:

Cheeneebash, Jayrani, author.

Coomar Shumsher Rughooputh, Harry, author.

Series:

African minds textbook series.

Language:

English

Subjects (All):

Radio frequency allocation--Mathematical models.

Radio frequency allocation.

Television frequency allocation--Mathematical models.

Television frequency allocation.

Physical Description:

xi, 68 pages : illustrations ; 28 cm

Place of Publication:

Stellenbosch, South Africa : African Minds, 2014.

Contents:

Machine generated contents note: pt. I The channel allocation problem

1. Introduction

2. The channel allocation problem

2.1. Channel allocation

2.1.1. Interference

2.2. Formulation of the CAP

2.3. Channel allocation schemes

2.3.1. Fixed channel allocation

2.3.2. Dynamic channel allocation

2.3.3. Comparison between FCA and DCA

2.3.4. Hybrid channel allocation

3. Mathematical formulation of the CAP

3.1. Introduction

3.1.1. Problem formulation - FCA

3.1.2. Problem formulation - DCA

3.1.3. Problem formulation - HCA

3.1.4. An example of a four-cellular network

3.2. Lower bounds for the CAP

3.3. Summary

pt. II Methods used to solve channel allocation problem

4. Graph theory

4.1. Graph colouring approach

4.2. Summary

5. Neural networks

5.1. Neural network approach

5.2. Summary

6. Heuristics

6.1. Heuristic techniques

6.1.1. Summary

6.2. Simulated annealing

6.2.1. Summary

6.3. Tabu search

6.3.1. Summary

7. Evolutionary methods

7.1. Genetic algorithm

7.1.1. Summary

7.2. Evolutionary strategy

7.2.1. Summary

8. Q-learning and other algorithms

8.1. Q-learning approach

8.1.1. Summary

8.2. Other algorithms

9. The channel allocation problem from a multi-objective view

9.1. Multi-objective approach

9.2. Experimental results

9.3. Comparison of different approaches.

Notes:

Includes bibliographical references.

ISBN:

1920677534

9781920677534

OCLC:

900438477

Publisher Number:

99992176131