activity
20212024
most citedMulti-Access Point Coordination for Next-Gen Wi-Fi Networks Aided by Deep Reinforcement Learning

37 citations · 42 across the 12 of their papers we have counts for

collaborators

12 papers

cs.NI2024★ 1 cited

Revisiting Multi-User Downlink in IEEE 802.11ax: A Designers Guide to MU-MIMO

Liu Cao, Lyutianyang Zhang, Sumit Roy +1

Downlink (DL) Multi-User (MU) Multiple Input Multiple Output (MU-MIMO) is a key technology that allows multiple concurrent data transmissions from an Access Point (AP) to a selecte…

cs.NI2024★ 1 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.NI2024

Non-Primary Channel Access in IEEE 802.11 UHR: Comprehensive Analysis and Evaluation

Dongyu Wei, Liu Cao, Lyutianyang Zhang +2

The evolution of the IEEE 802.11 standards marks a significant throughput advancement in wireless access technologies, progressively increasing bandwidth capacities from 20 MHz in…

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…

cs.IT2023

Codebook-based Uplink Transmission Enhancement in 5G Advanced: Sub-band Precoding

Liu Cao, Yahia Shabara, Parisa Cheraghi

The transformative enhancements of fifth-generation (5G) mobile devices bring about new challenges to achieve better uplink (UL) performance. Particularly, in codebook-based transm…

cs.NI2023

Toward 6G Sidelink Reliability: MAC PRR Modeling for NR Mode 2 SPS and ns-3 Validation

Liu Cao, Zhaoyu Liu, Lyutianyang Zhang

5G New Radio (NR) Sidelink (SL) Mode 2 has enabled decentralized, infrastructure-less direct communications which is evolving to serve reliability-critical services in 6G SL. Parti…

cs.NI2022

Latency-aware End-to-end Multi-path Data Transmission for URLLC Services

Liu Cao, Abbas Kiani, Amanda Xiang +2

5th Generation Mobile Communication Technology (5G) utilizes the Access Traffic Steering, Switching, and Splitting (ATSSS) rule to enable multi-path data transmission, which is cur…

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…

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

Resource Allocation for Vehicle Platooning in 5G NR-V2X via Deep Reinforcement Learning

Liu Cao, Hao Yin

Vehicle platooning, one of the advanced services supported by 5G NR-V2X, improves traffic efficiency in the connected intelligent transportation systems (C-ITSs). However, the pack…