Achieving near-capacity on a multiple-antenna channel
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Abstract
Recent advancements in iterative processing of channel codes and the development of turbo codes have allowed the communications industry to achieve near-capacity on a single-antenna Gaussian or fading channel with low complexity. We show how these iterative techniques can also be used to achieve near-capacity on a multiple-antenna system where the receiver knows the channel. Combining iterative processing with multiple-antenna channels is particularly challenging because the channel capacities can be a factor of ten or more higher than their single-antenna counterparts. Using a "list" version of the sphere decoder, we provide a simple method to iteratively detect and decode any linear space-time mapping…
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2,036
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- FWCI
- 154.78
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- 100%
- References
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Authors
2Topics & keywords
Topics
Keywords
- Computer science
- Channel capacity
- Channel (broadcasting)
- Turbo code
- Antenna (radio)
- Fading
- Decoding methods
- Electronic engineering
UN Sustainable Development Goals
- Industry, innovation and infrastructure
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