Shlomo Shamai
Technion – Israel Institute of Technology
858 Papers
6.2K Citations
Shlomo Shamai is an academic researcher from Technion – Israel Institute of Technology. The author has contributed to research in topics: Communication channel & Decoding methods. The author has an hindex of 85, co-authored 800 publications. Previous affiliations of Shlomo Shamai include New Jersey Institute of Technology & Bell Labs.
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Papers
A vector generalization of Costa entropy-power inequality and applications
Ruoheng Liu,Tie Liu,H. Vincent Poor,Shlomo Shamai +3 more
- 28 Jun 2009
TL;DR: A new extremal entropy inequality is derived from the generalized Costa EPI and then used to establish the secrecy capacity regions of the degraded vector Gaussian broadcast channel with layered confidential messages.
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Uplink-downlink duality for integer-forcing: Effective SINRs and iterative optimization
Wenbo He,Bobak Nazer,Shlomo Shamai +2 more
- 22 Jun 2014
TL;DR: This work examines the integer-forcing framework from a signal-to-interference-and-noise ratio perspective and focuses on the challenging problem of simultaneously optimizing the beamforming and projection matrices as well as the targeted integer matrix.
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Uplink Downlink Rate Balancing and Throughput Scaling in FDD Massive MIMO Systems
TL;DR: This work shows that any unused capacity in the uplink can be traded off for higher throughput in the downlink in a system that uses either dirty paper (DP) coding or zero-forcing (ZF) precoding, and studies the scaling of the system throughput with the number of antennas in cases of Beamforming (BF) Precoding, ZF Precode, and DP coding.
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Capacity results for the Multicast Cognitive Interference Channel
Meryem Benammar,Pablo Piantanida,Shlomo Shamai +2 more
- 25 Jun 2015
TL;DR: It is shown that, for some interference regimes, well-known coding techniques for the standard CIFC remain still optimal under the constraint of multicasting to multiple users, however, in other interference regime, capacity achieving coding and decoding schemes prove to be more involved.
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Robust Baseband Compression Against Congestion in Packet-Based Fronthaul Networks Using Multiple Description Coding
TL;DR: A multiple description coding (MDC) strategy is introduced that operates directly at the level of baseband signals to ensure an improved quality of the signal received at the cloud in conditions of low network congestion.
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