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On Power Allocation Schemes for Bi-directional Communication in a Spectrum Sharing-based Cognitive Radio System
- Source :
- IEIE Transactions on Smart Processing and Computing. 3:285-297
- Publication Year :
- 2014
- Publisher :
- The Institute of Electronics Engineers of Korea, 2014.
-
Abstract
- This paper presents the results of an investigation into bi-directional communication in spectrum sharing-based cognitive radio (Bi-CR) systems. A Bi-CR system can increase the spectral efficiency significantly by sharing the spectrum and through the bi-directional use of spatial resources for two-way communication. On the other hand, the primary user experiences more interference from the secondary users in a Bi-CR system. Satisfying the interference constraint by simply reducing the transmission power results in performance degradation for secondary users. In addition, secondary users also experience self-interference from echo channels due to full duplexing. These imperfections may weaken the potential benefits of the Bi-CR system. Therefore, a new way to overcome these defects in the Bi-CR system is needed. To address this need, this paper proposes some novel power allocation schemes for the Bi-CR system. This contribution is based on two major analytic environments, i.e., noise-limited and interference-limited environments, for providing useful analysis. This paper first proposes an optimal power allocation (OPA) scheme in a noise-limited environment and then analyzes the achievable sum rates. This OPA scheme has an effect in the noise-limited environment. In addition, a power allocation scheme for the Bi-CR system in an interference-limited environment was also investigated. The numerical results showed that the proposed schemes can achieve the full duplexing gain available from the bi-directional use of spatial resources.
- Subjects :
- Scheme (programming language)
business.industry
Echo (communications protocol)
Computer science
Distributed computing
Spectral efficiency
Interference (wave propagation)
Power (physics)
Constraint (information theory)
Cognitive radio
Transmission (telecommunications)
Signal Processing
Electrical and Electronic Engineering
business
computer
Computer network
computer.programming_language
Subjects
Details
- ISSN :
- 22875255
- Volume :
- 3
- Database :
- OpenAIRE
- Journal :
- IEIE Transactions on Smart Processing and Computing
- Accession number :
- edsair.doi...........4fbe73c3ce48ee087300c8610d53288b