JOURNAL ARTICLE

Cognitive Radio: Time Domain Spectrum Allocation using Game Theory

Abstract

The currently available unlicensed spectrum is reaching its limit and various demands for applications and data rates in wireless communications requires additional spectrum which imposes limits on spectrum access. These requirements demand for efficient and intelligent use of spectrum. The system model and the problem of the optimum spectrum allocation in cognitive radios are introduced and formulated in this paper. We derived a lower limit of the demanded allocations for all the users in the system and obtain the optimal solution which attains this lower bound. An algorithm which finds these optimum values of the demanded allocations is introduced to find the optimum spectrum allocation in time domain. The convergence of this algorithm is shown using the eigen values of the Gram matrices. Simulations are provided to support the mathematical formalism and the convergence of the algorithm to optimal solution.

Keywords:
Cognitive radio Computer science Wireless Frequency allocation Mathematical optimization Limit (mathematics) Spectrum (functional analysis) Convergence (economics) Upper and lower bounds Spectrum management Game theory Telecommunications Mathematics

Metrics

9
Cited By
1.29
FWCI (Field Weighted Citation Impact)
8
Refs
0.80
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Cognitive Radio Networks and Spectrum Sensing
Physical Sciences →  Computer Science →  Computer Networks and Communications
Advanced Queuing Theory Analysis
Social Sciences →  Business, Management and Accounting →  Management Information Systems
Wireless Communication Networks Research
Physical Sciences →  Computer Science →  Computer Networks and Communications

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