Interference alignment and cancellation
Proceedings of the ACM SIGCOMM 2009 conference on Data communication
IEEE Transactions on Information Theory
Interference alignment and the degrees of freedom of wireless X networks
IEEE Transactions on Information Theory
A new achievable rate region for the discrete memoryless X channel
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
A novel signaling for communication on MIMO Y channel: signal space alignment for network coding
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 4
Relay-aided interference alignment for the quasi-static X channel
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
Ergodic interference alignment
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
On the degrees of freedom of the 3-user Gaussian interference channel: the symmetric case
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
Interference alignment and the generalized degrees of freedom of the X channel
ISIT'09 Proceedings of the 2009 IEEE international conference on Symposium on Information Theory - Volume 3
IEEE Transactions on Information Theory
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
3 user interference channel: degrees of freedom as a function of channel diversity
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Interference alignment at finite SNR: general message sets
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Interference alignment with asymmetric complex signaling
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
Distributed MIMO network optimization based on duality and local message passing
Allerton'09 Proceedings of the 47th annual Allerton conference on Communication, control, and computing
A robust interference alignment scheme for the MIMO X channel
APCC'09 Proceedings of the 15th Asia-Pacific conference on Communications
Adaptive multi-Tx multi-Rx MIMO transmission scheme for LTE-advanced downlink
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
Degrees of freedom of the MIMO Y channel: signal space alignment for network coding
IEEE Transactions on Information Theory
WTS'10 Proceedings of the 9th conference on Wireless telecommunications symposium
Cognitive radios with multiple antennas exploiting spatial opportunities
IEEE Transactions on Signal Processing
IEEE Transactions on Information Theory
The approximate capacity of the many-to-one and one-to-many Gaussian interference channels
IEEE Transactions on Information Theory
IEEE Transactions on Signal Processing
On feasibility of interference alignment in MIMO interference networks
IEEE Transactions on Signal Processing
On network interference management
IEEE Transactions on Information Theory
Random access heterogeneous MIMO networks
Proceedings of the ACM SIGCOMM 2011 conference
Enabling real-time interference alignment: promises and challenges
Proceedings of the thirteenth ACM international symposium on Mobile Ad Hoc Networking and Computing
Interference alignment by motion
Proceedings of the 19th annual international conference on Mobile computing & networking
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In a multiple-antenna system with two transmitters and two receivers, a scenario of data communication, known as the X channel, is studied in which each receiver receives data from both transmitters. In this scenario, it is assumed that each transmitter is unaware of the other transmitter's data (noncooperative scenario). This system can be considered as a combination of two broadcast channels (from the transmitters' points of view) and two multiple-access channels (from the receivers' points of view). Taking advantage of both perspectives, two signaling schemes for such a scenario are developed. In these schemes, some linear filters are employed at the transmitters and at the receivers which decompose the system into either two noninterfering multiple-antenna broadcast subchannels or two noninterfering multiple-antenna multiple-access subchannels. The main objective in the design of the filters is to exploit the structure of the channel matrices to achieve the highest multiplexing gain (MG). It is shown that the proposed noncooperative signaling schemes outperform other known noncooperative schemes in terms of the achievable MG. In particular, it is shown that in some specific cases, the achieved MG is the same as the MG of the system if full cooperation is provided either between the transmitters or between the receivers. In the second part of the paper, it is shown that by using mixed design schemes, rather than decomposition schemes, and taking the statistical properties of the interference terms into account, the power offset of the system can be improved. The power offset represents the horizontal shift in the curve of the sum-rate versus the total power in decibels.