Unsupervised Dynamic Sensor for Real-Time Segmentation of Big Data

The Problem Tackling the challenge of Big Data processing is focused today on two levels: Increase computing power of processors and cloud platforms Improving parallel processing algorithms for optimal utilization of the above hardware The Solution The proposed novel solution tackles those limitations by reducing problem dimensions. To reduce the dimensions of unsupervised segmentation problem, it…

Read More

Hierarchic Beamforming with Limited Feedback Between Remote Radio Heads and Baseband-Unit Pool

The Problem Joint transmission (JT), in which adjacent transmitters, coordinate their transmission jointly to form a cluster which serves several mobile terminals, is an important tool for enhancing spectrum utilization. Not surprisingly, there is a constant growing demand for high data rate. Both the demand and the rapid increase in the number of cellular consumers…

Read More

Reduced Overhead Feedback Scheme
For Interference Mitigation In Cellular Networks

The Problem The continuing increase in data transportation presents a major technological challenge to the wireless communications industry due to the shortage in the electromagnetic spectrum; a precious natural resource which is very limited. The scarcity of available spectrum has pushed cellular networks to a universal frequency reuse (every cell utilizes all of the frequencies),…

Read More

Silicon Photonics STED Plasma Dispersion Effect Super-Resolved Imaging in Silicon

The Problem The silicon industry is currently heading toward 10 nm technology in integrated circuits. Promoting this market trend is largely dependent on the development of super-resolution in silicon microscopy. The Solution We propose a novel method that provides the ability to probe the silicon under surface in super-resolution. More specifically, we developed a new…

Read More

Novel Transistor Gain Cell With Feedback

The Problem Embedded memories, typically implemented with a 6T SRAM bitcell consume an ever growing share of the total silicon area and power. Gain cell embedded DRAM (GC-eDRAM) is an alternative to 6T SRAM, offering higher density, lower leakage, and 2-port operation. However, gain cells: Rely on dynamic storage Results in very low data retention…

Read More

Novel High-Density Memory Macro

The Problem Due to the growing demand for high-density embedded memories in modern microprocessors and other VLSI Systemon- Chip (SoC) designs, gain cell embedded DRAM (GCeDRAM) has emerged as an alternative to static random access memory (SRAM). GCeDRAM is known for its high-density, non-destructive read operation, low leakage power, and two-port operation. However, GCeDRAM requires…

Read More

Gain Cell Embedded Dram In Fully Depleted Silicon-On-Insulator Technology

The Problem As technology dimensions continue to scale down, high-density embedded memories are of great interest for many VLSI systems. However, 6T SRAM cells incur a large area penalty and suffer from high static power consumption in scaled CMOS nodes, often dominating the total area and power budget of a system. Gain-Cell embedded DRAM (GC-eDRAM)…

Read More

Cutting-Edge Complementary Dual Modular Redundancy Memory Cell

The Problem Embedded memories are often operated at scaled supply voltages in order to reduce their power consumption. However, reduction in the supply voltage also increases their susceptibility to soft errors. Soft errors occur when an energetic particle hits a reversed bias junction of an internal node in a memory cell, possibly flipping the data…

Read More