A Distributed Numerical Approach to Interference Alignment and Applications to Wireless Interference Networks
By Krishna Srikanth Gomadam, Viveck R. Cadambe, Syed Ali Jafar. IEEE Transactions on Information Theory, 2011
878 citations recorded by the source corpus.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/032e03cc52ba3acce94fbe6a4e9eec2845df358f
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Computer Networks and Communications
- Robert W. Heath
- Jeffrey G. Andrews
- Angel E. Lozano
- Syed Ali Jafar
- Lajos Hanzo
- Ekram Hossain
- Hesham Elsawy
- Martin Haenggi
In Electrical and Electronic Engineering
- Robert W. Heath
- Jeffrey G. Andrews
- Angel E. Lozano
- Syed Ali Jafar
- Ahmed Alkhateeb
- Lajos Hanzo
- Emil Björnson
- Rui Zhang
Citations in the corpus
- Topological Interference Management Through Index Coding (2013, background): “in [51], is useful to find iterative and distributed numerical interference alignment solutions.”
- Interference Alignment: A New Look at Signal Dimensions in a Communication Network (2011, methodology): “Reference [116] presents an alternating minimization approach that does not explicitly assume channel reciprocity, but is algorithmically identical to the distributed interference alignment algorithm of [48].”
- Fundamental Limits of Cooperation (2012, background): “d cooperative schemes such as Network MIMO [13]. The genesis of distributed cooperative solutions such as IA (interference alignment) [14], MaxSINR (maximum signal-to-interference-plus-noise ratio) [15], [16] and other forms of cooperative interference management [17]. Most development on the IC ta”