Low complexity adaptive antenna selection for cognitive radio MIMO broadcast channels
| Autor: | Lars K. Rasmussen, Mikael Skoglund, Efthymios Stathakis, Chao Wang |
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| Přispěvatelé: | Stathakis, E, Wang, C, Rasmussen, Lars, Skoglund, Mikael, 2012 IEEE Global communications conference: Globecom 2012 - Signal Processing for Communications Symposium Anaheim, California 3-7 December 2012 |
| Rok vydání: | 2012 |
| Předmět: |
adaptive antenna selection
primary user Computer science primary link Precoding block diagonalization Base station secondary broadcast channel CSI Zero-forcing precoding secondary user rate optimal strategy channel state information Selection (genetic algorithm) Interference alignment Computer Science::Information Theory Block (data storage) business.industry interference free message precoding ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS multiantenna cognitive radio network MIMO Cognitive radio secondary base station Channel state information Antenna (radio) business opportunistic interference alignment Computer network |
| Zdroj: | GLOBECOM |
| DOI: | 10.1109/glocom.2012.6503716 |
| Popis: | A multi-antenna cognitive radio network, with a single pair of primary users and a secondary broadcast channel, is considered. Under perfect channel state information (CSI), the rate-optimal strategy for the primary link is waterfilling, resulting in possibly unused dimensions. The secondary base station, supplied with perfect and global CSI, employs block diagonalization for interference-free message precoding and opportunistic interference alignment to avoid disturbing primary communication. In the absence of sufficient resources to serve all secondary users, a low complexity adaptive antenna selection strategy is proposed. This scheme constructs, in each time-slot, the set of active antennas by opportunistically reusing information and resources from the preceding selection round. Numerical results indicate a complexity reduction at a small rateloss penalty, in comparison with existing selection methods. Refereed/Peer-reviewed |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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