Name
Title | ||
|---|---|---|
Resource Allocation in Cognitive Radio Networks: A Comparison Between Game Theory Based and Heuristic Approaches |
Abstract | ||
|---|---|---|
Cognitive Radio (CR) approach can be considered as a promising and suitable solution to solve in an efficient and flexible way the increasing and continuous demand of services and radio resources. This paper shows the potential benefits of the adoption of a cognitive radio strategy to the coexistence problem. Two different approaches have been considered: the first one is based on the Game Theory while the second one is formalized as a constrained maximum search and represent the optimum solution. The Game theory approach, suitable for a distributed implementation, provides performances comparable to the heuristic one which is a centralized optimization problem. The paper analyzes the performances of both approaches in terms of secondary rates and spectral efficiency provided by the secondary system. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1007/s11277-009-9689-0 | Wireless Personal Communications |
Keywords | Field | DocType |
Cognitive radio,Satellite,Wireless networks,Game theory,Potential games | Resource management,Heuristic,Mathematical optimization,Software-defined radio,Computer science,Computer network,Resource allocation,Spectral efficiency,Game theory,Artificial intelligence,Optimization problem,Cognitive radio | Journal |
Volume | Issue | ISSN |
49 | 3 | 0929-6212 |
Citations | PageRank | References |
10 | 0.77 | 1 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enrico Del Re | 1 | 212 | 33.24 |
| Gherardo Gorni | 2 | 19 | 1.66 |
| Luca Simone Ronga | 3 | 120 | 24.97 |
| Rosalba Suffritti | 4 | 28 | 4.89 |