activity
20152020
most citedCapacity and performance analysis for multi-user system under distributed opportunistic scheduling in a time dependent channel

1 citations · 2 across the 4 of their papers we have counts for

collaborators

7 papers

cs.IT2020

Compute-and-Forward in Large Relaying Systems: Limitations and Asymptotically Optimal Scheduling

Ori Shmuel, Asaf Cohen, Omer Gurewitz

Compute and Forward (CF) is a coding scheme which enables receivers to decode linear combinations of simultaneously transmitted messages while exploiting the linear properties of l…

cs.IT2020

Private Information Retrieval Over Gaussian MAC

Ori Shmuel, Asaf Cohen

Consider the problem of Private Information Retrieval (PIR), where a user wishes to retrieve a single message from non-communicating and non-colluding databases (servers). All…

cs.IT2020

Multi-Antenna Jamming in Covert Communication

Ori Shmuel, Asaf Cohen, Omer Gurewitz

Covert communication conceals transmission of messages from Alice to Bob out of a watchful adversary, Willie, who tries to determine if a transmission took place or not. While cove…

cs.IT2017

Integer Forcing: Effective SNR Distribution and Practical Block-Based Schemes

Ron Meiry, Omer Gurewitz, Asaf Cohen

Integer Forcing (IF) is a novel linear receiver architecture, where instead of separating the codewords sent by each transmitter, and decoding them individually, forces integer-val…

cs.IT2016

On Secrecy Rates and Outage in Multi-User Multi-Eavesdroppers MISO Systems

Joseph Kampeas, Asaf Cohen, Omer Gurewitz

In this paper, we study the secrecy rate and outage probability in Multiple-Input-Single-Output (MISO) Gaussian wiretap channels at the limit of a large number of legitimate users…

cs.IT20151 cited

Capacity and performance analysis for multi-user system under distributed opportunistic scheduling in a time dependent channel

Ori Shmuel, Asaf Cohen, Omer Gurewitz

Consider the problem of a multi-user multiple access channel. While several multi-user coding techniques exist, in practical scenarios, not all users can be scheduled simultaneousl…