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eess.SP2024
Enhancing K-user Interference Alignment for Discrete Constellations via Learning
Rajesh Mishra, Syed Jafar, Sriram Vishwanath +1
In this paper, we consider a K-user interference channel where interference among the users is neither too strong nor too weak, a scenario that is relatively underexplored in the l…
cs.IT2024★ 2 cited
On the Capacity of Vector Linear Computation over a Noiseless Quantum Multiple Access Channel with Entangled Transmitters
Yuhang Yao, Syed A. Jafar
Network function computation is an active topic in network coding, with much recent progress for linear (over a finite field) computations over broadcast (LCBC) and multiple access…
cs.IT2024
Blind Interference Alignment for MapReduce: Exploiting Side-information with Reconfigurable Antennas
Yuxiang Lu, Syed A. Jafar
In order to explore how blind interference alignment (BIA) schemes may take advantage of side-information in computation tasks, we study the degrees of freedom (DoF) of a user…