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Syed A. Jafar
Researcher at University of California, Irvine
Publications - 403
Citations - 36189
Syed A. Jafar is an academic researcher from University of California, Irvine. The author has contributed to research in topics: Communication channel & MIMO. The author has an hindex of 84, co-authored 387 publications receiving 34708 citations. Previous affiliations of Syed A. Jafar include University of California, Berkeley & Pennsylvania State University.
Papers
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Journal ArticleDOI
Interference Alignment and Degrees of Freedom of the $K$ -User Interference Channel
Viveck R. Cadambe,Syed A. Jafar +1 more
TL;DR: For the fully connected K user wireless interference channel where the channel coefficients are time-varying and are drawn from a continuous distribution, the sum capacity is characterized as C(SNR)=K/2log (SNR)+o(log( SNR), which almost surely has K/2 degrees of freedom.
Journal ArticleDOI
Breaking Spectrum Gridlock With Cognitive Radios: An Information Theoretic Perspective
TL;DR: This information-theoretic survey provides guidelines for the spectral efficiency gains possible through cognitive radios, as well as practical design ideas to mitigate the coexistence challenges in today's crowded spectrum.
Journal ArticleDOI
Capacity limits of MIMO channels
TL;DR: An overview of the extensive results on the Shannon capacity of single-user and multiuser multiple-input multiple-output (MIMO) channels is provided and it is shown that the capacity region of the MIMO multiple access and the largest known achievable rate region (called the dirty-paper region) for the M IMO broadcast channel are intimately related via a duality transformation.
Journal ArticleDOI
A Distributed Numerical Approach to Interference Alignment and Applications to Wireless Interference Networks
TL;DR: Examples of iterative algorithms that utilize the reciprocity of wireless networks to achieve interference alignment with only local channel knowledge at each node are provided, providing numerical insights into the feasibility of interference alignment that are not yet available in theory.
Proceedings ArticleDOI
Approaching the Capacity of Wireless Networks through Distributed Interference Alignment
TL;DR: Examples of iterative algorithms that utilize the reciprocity of wireless networks to achieve interference alignment with only local channel knowledge at each node are provided, providing numerical insights into the feasibility of interference alignment that are not yet available in theory.