Adaptive Distributed Beamforming for Relay Networks Based on Local Channel State Information
- Submitting institution
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The University of Surrey
- Unit of assessment
- 12 - Engineering
- Output identifier
- 9004575_1
- Type
- D - Journal article
- DOI
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10.1109/TSIPN.2015.2463076
- Title of journal
- IEEE Transactions on Signal and Information Processing over Networks
- Article number
- -
- First page
- 117-128
- Volume
- 1
- Issue
- 2
- ISSN
- 2373-7778
- Open access status
- Out of scope for open access requirements
- Month of publication
- -
- Year of publication
- 2015
- URL
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- Supplementary information
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- Request cross-referral to
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- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- No
- Number of additional authors
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-
- Research group(s)
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- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- In the context of distributed beamforming, this paper presents a new class of adaptive beamforming algorithms that use only local channel state information (CSI) to approach the optimal Wiener Minimum Mean Square Error (MMSE) performance that requires global CSI. The proposed algorithms have low computational complexity of the order of O(n) where n is the number of relay nodes, and can be implemented on low cost and low processing power devices. The proposed beamforming solution has the potential to be adopted by future relay based extensions to cell-less future wireless systems.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -