activity
20202024
most citedOptimal Beam Training for mmWave Massive MIMO using 802.11ay

1 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

cs.NI20241 cited

Optimized Non-Primary Channel Access Design in IEEE 802.11bn

Dongyu Wei, Liu Cao, Lyutianyang Zhang +2

The IEEE 802.11 standards, culminating in IEEE 802.11be (Wi-Fi 7), have significantly expanded bandwidth capacities from 20 MHz to 320 MHz, marking a crucial evolution in wireless…

cs.IT20221 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.IT20221 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…

cs.NI2021

Performance Analysis and Improvement on DSRC Application for V2V Communication

Liu Cao, Hao Yin, Jie Hu +1

In this paper, we focus on the performance of vehicle-to-vehicle (V2V) communication adopting the Dedicated Short Range Communication (DSRC) application in periodic broadcast mode.…

cs.NI2021

Enhancing WiFi Multiple Access Performance with Federated Deep Reinforcement Learning

Lyutianyang Zhang, Hao Yin, Zhanke Zhou +2

Carrier sensing multiple access/collision avoidance (CSMA/CA) is the backbone MAC protocol for IEEE 802.11 networks. However, tuning the binary exponential back-off (BEB) mechanism…

cs.IT2020

Communications-Caching-Computing Tradeoff Analysis for Bidirectional Data Computation in Mobile Edge Networks

Yaping Sun, Lyutianyang Zhang, Zhiyong Chen +1

With the advent of the modern mobile traffic, e.g., online gaming, augmented reality delivery and etc., a novel bidirectional computation task model where the input data of each ta…