Guiqiang Peng

Orcid: 0000-0003-3205-724X

According to our database1, Guiqiang Peng authored at least 9 papers between 2017 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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In proceedings 
Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2023
GEM: Ultra-Efficient Near-Memory Reconfigurable Acceleration for Read Mapping by Dividing and Predictive Scattering.
IEEE Trans. Parallel Distributed Syst., December, 2023

2020
Near-Optimal MIMO-SCMA Uplink Detection With Low-Complexity Expectation Propagation.
IEEE Trans. Wirel. Commun., 2020

Energy- and Area-Efficient Recursive-Conjugate-Gradient-Based MMSE Detector for Massive MIMO Systems.
IEEE Trans. Signal Process., 2020

A 2.92-Gb/s/W and 0.43-Gb/s/MG Flexible and Scalable CGRA-Based Baseband Processor for Massive MIMO Detection.
IEEE J. Solid State Circuits, 2020

2019
Massive MIMO Detection Algorithm and VLSI Architecture
Springer, ISBN: 978-981-13-6361-0, 2019

2018
Algorithm and Architecture of a Low-Complexity and High-Parallelism Preprocessing-Based K -Best Detector for Large-Scale MIMO Systems.
IEEE Trans. Signal Process., 2018

A 1.58 Gbps/W 0.40 Gbps/mm2 ASIC Implementation of MMSE Detection for $128\times 8~64$ -QAM Massive MIMO in 65 nm CMOS.
IEEE Trans. Circuits Syst. I Regul. Pap., 2018

A 2.69 Mbps/mW 1.09 Mbps/kGE Conjugate Gradient-based MMSE Detector for 64-QAM 128×8 Massive MIMO Systems.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2018

2017
Low-Computing-Load, High-Parallelism Detection Method Based on Chebyshev Iteration for Massive MIMO Systems With VLSI Architecture.
IEEE Trans. Signal Process., 2017


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