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Cognitive Radio MIMO Gaussian Broadcast Channels with the Power Constraint
- Source :
- Wireless Personal Communications. 68:769-778
- Publication Year :
- 2011
- Publisher :
- Springer Science and Business Media LLC, 2011.
-
Abstract
- The cognitive radio multiple-input multiple-output Gaussian broadcast channels are studied where multiple antennas are available for both primary users and secondary users in a spectrum sharing environment, and the sum-rate capacity is also obtained under both the SUs' transmit power constraint and interference power constraint at the primary receivers. The paper principally consists of two steps. First, a duality technique and dirty paper coding are adopted to simplify the channels. Second, we propose an iterative power allocation algorithm to obtain the maximum sum-rate capacity and examine the effects of the constraint parameters on the concerned quantities. Finally, numerical simulation results are presented to validate the proposed theoretical analysis.
- Subjects :
- Mathematical optimization
Computer science
Gaussian
MIMO
Duality (optimization)
Transmitter power output
Interference (wave propagation)
Computer Science Applications
Constraint (information theory)
symbols.namesake
Cognitive radio
Electronic engineering
symbols
Dirty paper coding
Electrical and Electronic Engineering
Computer Science::Information Theory
Communication channel
Subjects
Details
- ISSN :
- 1572834X and 09296212
- Volume :
- 68
- Database :
- OpenAIRE
- Journal :
- Wireless Personal Communications
- Accession number :
- edsair.doi...........09fd6dc5cfcb5f176d12cec6ae46594d