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Performance of Orthogonal Beamforming for SDMA With Limited Feedback
- Source :
- IEEE Transactions on Vehicular Technology. 58:152-164
- Publication Year :
- 2009
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2009.
-
Abstract
- On the multi-antenna broadcast channel, the spatial degrees of freedom support simultaneous transmission to multiple users. The optimal multiuser transmission, known as dirty paper coding, is not directly realizable. Moreover, close-to-optimal solutions such as Tomlinson-Harashima precoding are sensitive to CSI inaccuracy. This paper considers a more practical design called per user unitary and rate control (PU2RC), which has been proposed for emerging cellular standards. PU2RC supports multiuser simultaneous transmission, enables limited feedback, and is capable of exploiting multiuser diversity. Its key feature is an orthogonal beamforming (or precoding) constraint, where each user selects a beamformer (or precoder) from a codebook of multiple orthonormal bases. In this paper, the asymptotic throughput scaling laws for PU2RC with a large user pool are derived for different regimes of the signal-to-noise ratio (SNR). In the multiuser-interference-limited regime, the throughput of PU2RC is shown to scale logarithmically with the number of users. In the normal SNR and noise-limited regimes, the throughput is found to scale double logarithmically with the number of users and also linearly with the number of antennas at the base station. In addition, numerical results show that PU2RC achieves higher throughput and is more robust against CSI quantization errors than the popular alternative of zero-forcing beamforming if the number of users is sufficiently large.<br />Comment: 27 pages; to appear in IEEE Transactions on Vehicular Technology
- Subjects :
- FOS: Computer and information sciences
Beamforming
Computer Networks and Communications
Computer Science - Information Theory
Information Theory (cs.IT)
Quantization (signal processing)
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Codebook
Aerospace Engineering
Data_CODINGANDINFORMATIONTHEORY
Space-division multiple access
Precoding
Base station
Channel state information
Automotive Engineering
Computer Science::Networking and Internet Architecture
Electronic engineering
Dirty paper coding
Electrical and Electronic Engineering
Algorithm
Computer Science::Information Theory
Mathematics
Subjects
Details
- ISSN :
- 19399359 and 00189545
- Volume :
- 58
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Vehicular Technology
- Accession number :
- edsair.doi.dedup.....5e4a979e78a2f6a418ba9f44dcf79295