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Impact of Co-Channel Interference on the Performance of Adaptive Generalized Transmit Beamforming
- Source :
- IEEE Transactions on Wireless Communications. 10:2616-2629
- Publication Year :
- 2011
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2011.
-
Abstract
- The impact of co-channel interference on the performance of adaptive generalized transmit beamforming for low-complexity multiple-input single-output (MISO) configuration is investigated. The transmit channels are assumed to be sufficiently separated and undergo Rayleigh fading conditions. Due to the limited space, a single receive antenna is employed to capture desired user transmission. The number of active transmit channels is adjusted adaptively based on statistically unordered and/or ordered instantaneous signal-to-noise ratios (SNRs), where the transmitter has no information about the statistics of undesired signals. The adaptation thresholds are identified to guarantee a target performance level, and the adaptation schemes with enhanced spectral efficiency or power efficiency are studied and their performance are compared under various channels conditions. To facilitate comparison studies, results for the statistics of instantaneous combined signal-to-interference-plus-noise ratio (SINR) are derived, which can be applied for different fading conditions of interfering signals. The statistics for combined SNR and combined SINR are then used to quantify various performance measures, considering the impact of non-ideal estimation of the desired user channel state information (CSI) and the randomness in the number of active interferers. Numerical and simulation comparisons for the achieved performance of the adaptation schemes are presented.
- Subjects :
- Beamforming
Computer science
Applied Mathematics
ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS
Transmitter
Co-channel interference
Data_CODINGANDINFORMATIONTHEORY
Spectral efficiency
Interference (wave propagation)
Computer Science Applications
Signal-to-noise ratio
Control theory
Channel state information
Fading
Electrical and Electronic Engineering
Computer Science::Information Theory
Rayleigh fading
Communication channel
Subjects
Details
- ISSN :
- 15361276
- Volume :
- 10
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Wireless Communications
- Accession number :
- edsair.doi...........93404038aa4a5ec902c690d2e47a7668
- Full Text :
- https://doi.org/10.1109/twc.2011.060811.100978