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Utilizing the Spatial Information Provided by Channel Norm Feedback in SDMA Systems
- Source :
- IEEE Transactions on Signal Processing. 56:3278-3293
- Publication Year :
- 2008
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2008.
-
Abstract
- To achieve high performance, in terms of reliability and throughput, in future multiple-antenna communication systems, it is essential to fully exploit the spatial dimensions of the wireless propagation channel. In multiuser communication systems, the throughput can be significantly increased by simultaneously transmitting to several users in the same time-frequency slot by means of spatial-division multi-access (SDMA). A major limiting factor for downlink SDMA transmission is the amount of channel-state information (CSI) that is available at the transmitter. In most cases, CSI can be measured/estimated only at the user terminals and must be fed back to the base station. This procedure typically constrains the amount of CSI that can be conveyed to the base station. Herein, we develop several low-complexity, as well as optimized, SDMA downlink resource-allocation schemes that are particularly suitable for systems utilizing statistical channel information and partial CSI feedback. A framework is proposed for combining statistical channel information with a class of instantaneous channel norms. It is shown that, in wide-area scenarios, the feedback of such a scalar norm provides sufficient information for the proposed resource-allocation algorithms to perform efficient SDMA beamforming (BF) and scheduling.
- Subjects :
- Beamforming
Channel allocation schemes
business.industry
Computer science
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Transmitter
Throughput
Data_CODINGANDINFORMATIONTHEORY
Space-division multiple access
Code rate
Communications system
Antenna array
Base station
Channel state information
Signal Processing
Telecommunications link
Computer Science::Networking and Internet Architecture
Electronic engineering
Wireless
Electrical and Electronic Engineering
Telecommunications
business
Computer Science::Information Theory
Communication channel
Subjects
Details
- ISSN :
- 1053587X
- Volume :
- 56
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Signal Processing
- Accession number :
- edsair.doi...........ed4d7666ef29b7392b72cb61191c3a26