75 citations · 159 across the 9 of their papers we have counts for
11 papers
A Universal Systematic Method to Generate Error Patterns on Memoryless Channels
Marwan Jalaleddine, Jiajie Li, Syed Mohsin Abbas +1
The high computational cost of approaching the performance of Maximum-likelihood (ML) decoding has limited its practical use for decades. Because the complexity grows exponentially…
Confinement Specific Design of SOI Rib Waveguides with Submicron Dimensions and Single Mode Operation
Abdurrahman Javid Shaikh, Abdul Ghani Abro, Mirza Muhammad Ali Baig +2
Full-vectorial finite difference method with perfectly matched layers boundaries is used to identify the single mode operation region of submicron rib waveguides fabricated using s…
Step-GRAND: A Low Latency Universal Soft-input Decoder
Syed Mohsin Abbas, Marwan Jalaleddine, Chi-Ying Tsui +1
GRAND features both soft-input and hard-input variants that are well suited to efficient hardware implementations that can be characterized with achievable average and worst-case d…
GRAND for Rayleigh Fading Channels
Syed Mohsin Abbas, Marwan Jalaleddine, Warren J. Gross
Guessing Random Additive Noise Decoding (GRAND) is a code-agnostic decoding technique for short-length and high-rate channel codes. GRAND tries to guess the channel noise by genera…
High-Throughput and Energy-Efficient VLSI Architecture for Ordered Reliability Bits GRAND
Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan +2
Ultra-reliable low-latency communication (URLLC), a major 5G New-Radio use case, is the key enabler for applications with strict reliability and latency requirements. These applica…
List-GRAND: A practical way to achieve Maximum Likelihood Decoding
Syed Mohsin Abbas, Marwan Jalaleddine, Warren J. Gross
Guessing Random Additive Noise Decoding (GRAND) is a recently proposed universal Maximum Likelihood (ML) decoder for short-length and high-rate linear block-codes. Soft-GRAND (SGRA…
High-Throughput VLSI Architecture for GRAND Markov Order
Syed Mohsin Abbas, Marwan Jalaleddine, Warren J. Gross
Guessing Random Additive Noise Decoding (GRAND) is a recently proposed Maximum Likelihood (ML) decoding technique. Irrespective of the structure of the error correcting code, GRAND…
High-Throughput VLSI architecture for Soft-Decision decoding with ORBGRAND
Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan +2
Guessing Random Additive Noise Decoding (GRAND) is a recently proposed approximate Maximum Likelihood (ML) decoding technique that can decode any linear error-correcting block code…
High-Throughput VLSI Architecture for GRAND
Syed Mohsin Abbas, Thibaud Tonnellier, Furkan Ercan +1
Guessing Random Additive Noise Decoding (GRAND) is a recently proposed universal decoding algorithm for linear error correcting codes. Since GRAND does not depend on the structure…
Concatenated LDPC-Polar Codes Decoding Through Belief Propagation
Syed Mohsin Abbas, YouZhe Fan, Ji Chen +1
Owing to their capacity-achieving performance and low encoding and decoding complexity, polar codes have drawn much research interests recently. Successive cancellation decoding (S…
Low Complexity Belief Propagation Polar Code Decoders
Syed Mohsin Abbas, YouZhe Fan, Ji Chen +1
Since its invention, polar code has received a lot of attention because of its capacity-achieving performance and low encoding and decoding complexity. Successive cancellation deco…