activity
20112023
most citedRAMP-CNN: A Novel Neural Network for Enhanced Automotive Radar Object Recognition

171 citations · 658 across the 34 of their papers we have counts for

collaborators

39 papers

cs.NI2023★ 2 cited

IEEE 802.11be Network Throughput Optimization with Multi-Link Operation and AP Coordination

Lyutianyang Zhang, Hao Yin, Sumit Roy +3

IEEE 802.11be (Wi-Fi 7) introduces a new concept called multi-link operation (MLO), which allows multiple Wi-Fi interfaces in different bands (2.4, 5, and 6 GHz) to work together t…

eess.SP2023★ 2 cited

Static Background Removal in Vehicular Radar: Filtering in Azimuth-Elevation-Doppler Domain

Xiangyu Gao, Sumit Roy, Lyutianyang Zhang

Anti-collision assistance, integral to the current drive towards increased vehicular autonomy, relies heavily on precise detection and localization of moving targets in the vehicle…

cs.IT2022★ 1 cited

Optimal Beam Training for mmWave Massive MIMO using 802.11ay

Lyutianyang Zhang, Sumit Roy

Beam training of 802.11 ad is a technology that helps accelerate the analog weighting vector (AWV) selection process under the constraint of the existing code-book for AWV. However…

cs.IT2022★ 1 cited

Architecture-Algorithmic Trade-offs in Multi-path Channel Estimation for mmWAVE Systems

Lyutianyang Zhang, Sumit Roy, Liu Cao

5G mmWave massive MIMO systems are likely to be deployed in dense urban scenarios, where increasing network capacity is the primary objective. A key component in mmWave transceiver…

eess.SY2022★ 37 cited

Multi-Access Point Coordination for Next-Gen Wi-Fi Networks Aided by Deep Reinforcement Learning

Lyutianyang Zhang, Hao Yin, Sumit Roy +1

Wi-Fi in the enterprise - characterized by overlapping Wi-Fi cells - constitutes the design challenge for next-generation networks. Standardization for recently started IEEE 802.11…

eess.SP2022

Efficient PHY Layer Abstraction under Imperfect Channel Estimation

Liu Cao, Lyutianyang Zhang, Sian Jin +1

As most existing work investigate the PHY layer abstraction under an assumption of perfect channel estimation, it may become unreliable if there exists channel estimation error in…