The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
A Distributed Numerical Approach to Interference Alignment and Applications to Wireless Interference Networks
Abstract
Recent results establish the optimality of interference alignment to approach the Shannon capacity of interference networks at high SNR. However, the extent to which interference can be aligned over a finite number of signalling dimensions remains unknown. Another important concern for interference alignment schemes is the requirement of global channel knowledge. In this work, we provide examples of iterative algorithms that utilize the reciprocity of wireless networks to achieve interference alignment with only local channel knowledge at each node. These algorithms also provide numerical insights into the feasibility of interference alignment that are not yet available in theory.
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Cites
Fundamentals of Wireless Communication
Tse, D., & Viswanath, P. (2005) · doi:10.1017/cbo9780511807213 · Cited by 13,162
Cognitive radio: brain-empowered wireless communications
Haykin, S. (2005) · IEEE Journal on Selected Areas in Communications · doi:10.1109/jsac.2004.839380 · Cited by 11,916
Interference Alignment and Degrees of Freedom of the $K$-User Interference Channel
Cadambe, V. R., & Jafar, S. A. (2008) · IEEE Transactions on Information Theory · doi:10.1109/tit.2008.926344 · Cited by 2,970
Self-citationDuality, achievable rates, and sum-rate capacity of gaussian mimo broadcast channels
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Sum capacity of the vector Gaussian broadcast channel and uplink–downlink duality
Viswanath, P., & Tse, D. N. C. (2003) · IEEE Transactions on Information Theory · doi:10.1109/tit.2003.814483 · Cited by 1,290
Iterative Water-Filling for Gaussian Vector Multiple-Access Channels
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Communication Over MIMO X Channels: Interference Alignment, Decomposition, and Performance Analysis
Maddah-Ali, M. A., Motahari, A. S., & Khandani, A. K. (2008) · IEEE Transactions on Information Theory · doi:10.1109/tit.2008.926460 · Cited by 1,008
Transmit beamforming and power control for cellular wireless systems
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Cited by
Foundations of MIMO Communication
Heath Jr, R. W., & Lozano, A. (2018) · Cambridge University Press eBooks · doi:10.1017/9781139049276 · Cited by 426
A Survey of Rate-Optimal Power Domain NOMA With Enabling Technologies of Future Wireless Networks
Maraqa, O., Rajasekaran, A. S., Al-Ahmadi, S., Yanikomeroglu, H., & Sait, S. M. (2020) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2020.3013514 · Cited by 406
Caching UAV Assisted Secure Transmission in Hyper-Dense Networks Based on Interference Alignment
Zhao, N., Cheng, F., Yu, F. R., Tang, J., Chen, Y., Gui, G., & Sari, H. (2018) · IEEE Transactions on Communications · doi:10.1109/tcomm.2018.2792014 · Cited by 304
Low-Rank Matrix Completion for Topological Interference Management by Riemannian Pursuit
Shi, Y., Zhang, J., & Letaief, K. B. (2016) · IEEE Transactions on Wireless Communications · doi:10.1109/twc.2016.2544758 · Cited by 56
A single coin monetary mechanism for distributed cooperative interference management
El Gamal, A., & El Gamal, H. (2019) · IEEE Wireless Communications Letters · doi:10.1109/lwc.2018.2890648 · Cited by 15
Metadata
- Authors
- Gomadam, K., Cadambe, V. R., & Jafar, S. A.
- Venue
- IEEE Transactions on Information Theory
- Published
- 2011-06
- Volume
- 57
- Issue
- 6
- Pages
- 3309-3322
- ISSN
- 0018-9448 (ISSN-L)
- 1557-9654
- OpenAlex
- W2098363461
- Cited by
- 871
- References
- 16
- FWCI
- 78.43
- Type
- journal article
- Language
- en
- Open access
- closed
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- Gomadam, K., Cadambe, V. R., & Jafar, S. A. (2011). A Distributed Numerical Approach to Interference Alignment and Applications to Wireless Interference Networks. IEEE Transactions on Information Theory. https://doi.org/10.1109/tit.2011.2142270
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