The Approximate Capacity of the Many-to-One and One-to-Many Gaussian Interference Channels
By Guy Bresler, Abhay K. Parekh, David Tse. IEEE Transactions on Information Theory, 2008
333 citations recorded by the source corpus.
Recently, Etkin, Tse, and Wang found the capacity region of the two-user Gaussian interference channel to within 1 bit/s/Hz. A natural goal is to apply this approach to the Gaussian interference channel with an arbitrary number of users. We make progress towards this goal by finding the capacity region of the many-to-one and one-to-many Gaussian interference channels to within a constant number of bits. The result makes use of a deterministic model to provide insight into the Gaussian channel. The deterministic model makes explicit the dimension of signal level. A central theme emerges: the use of lattice codes for alignment of interfering signals on the signal level.
Subfields: Computer Networks and Communications, Electrical and Electronic Engineering, Molecular Biology
View Paper: https://www.semanticscholar.org/paper/3df5b723c8cc89e59dd7972ee0793ac0cbf55de2
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
- Syed Ali Jafar
- Viveck R. Cadambe
- Mohammad Ali Maddah-Ali
- David Tse
- Tiangao Gou
- Krishna Srikanth Gomadam
- Ahmet H. Kayran
- Cenk M. Yetis
In Electrical and Electronic Engineering
- Syed Ali Jafar
- Viveck R. Cadambe
- David Tse
- Mohammad Ali Maddah-Ali
- Tiangao Gou
- Krishna Srikanth Gomadam
- Changho Suh
- Amir Keyvan Khandani
In Molecular Biology
- Syed Ali Jafar
- Changho Suh
- Viveck R. Cadambe
- Krishna Srikanth Gomadam
- Mohammad Ali Maddah-Ali
- David Tse
Citations in the corpus
- On Feasibility of Interference Alignment in MIMO Interference Networks (2009, background): “1) Symmetric Systems:Let (M×N, d)K denote theK-user MIMO interference network, where every transmitter hasM antennas, every receiver hasN antennas and each user wishes to achieved DoF.”
- Real Interference Alignment: Exploiting the Potential of Single Antenna Systems (2009, background): “In [13], followed up by [14], [15], interference alignment is applied in single antenna systems.”
- A Distributed Numerical Approach to Interference Alignment and Applications to Wireless Interference Networks (2011, methodology): “Note that interference alignment can also be accomplished in terms of signal levels rather than signal vectors by using structured codes (multilevel and lattice codes) as shown in [27], [28].”
- Interference Alignment for Cellular Networks (2008, methodology): “To cover G(≥ 3)-IBC, we use the smart duality property, which holds for many kinds of channels: MAC/BC [8]; many-to-one/one-to-many interference channels [6]; (M -by- N )/(N -by-M ) X-networks [4].”
- Interference Alignment: A New Look at Signal Dimensions in a Communication Network (2011, background): “The idea of lattice alignment is introduced by Bresler, Parekh and Tse in [18] for the many-to-one interference channel where only one receiver experiences interference, and is shown to achieve the capacity of this channel within a constant number of bits/sec/Hz (regardless of SNR and channel parame”