[I8] Implementations for collaboration
Skill sets: MATLAB, CVX, USRP, Labview, Massive MIMO
Implementation of drone channel estimation testbed using USRP.
Results: Demo_Link1 [single antenna], Demo_Link2 [multiple antennas].
Massive MIMO receiver simulation with non-orthogonal pilot signals.
Results: [D7]
[I7] Online joint user association (UA) and resource allocation (RA) in HetNets
Skill sets: MATLAB, Python, PyTorch, Time-varying channel, Joint UA and RA, Genetic algorithm
Results: [JS01, Link]
Summary: This project addresses joint user association (UA) and resource allocation (RA) in HetNets. Specifically, we propose a joint UA and RA technique using deep reinforcement learning (ex: DDPG) to solve the global CSI problem of the existing methods.
[I6] Asynchronous MIMO stream sensing
Skill sets: MATLAB, Python, PyTorch, Asynchronous reception data
Results: [J03, Link]
Summary: As an extension of the project [I5], this project proposes a learning-based stream sensing method that can also handle asynchronously received signals.
[I5] Synchronous MIMO Stream sensing
Skill sets: Labview, USRP RIO/N210/Octoclock, MATLAB, MUSIC algorithm, 4x4 MIMO
Results: [Demo_Link]
Summary: By using USRP N210/RIO and Octoclock, this project implements a stream sensing scheme that employs a MUSIC algorithm with multiple antennas to estimate the number of streams.
[I4] Learning-based spectrum sensing for underwater acoustic cognitive radio
Skill sets: MATLAB, Python, PyTorch, BELLHOP (Underwater channel generator), Acoustic communication
Results: [JS02, Link]
Summary: This project first builds an underwater acoustic environment using a BELLHOP simulator based on MATLAB code. Then, we propose a learning-based spectrum sensing technique that can operate with short sensing time using PyTorch code.
[I3] Synchronous multiple-access vs Asynchronous multiple-access with USRP
Skill sets: Labview, USRP RIO/N210, Channel estimation, OFDM/GFDM TX/RX
Results: [Demo_Link1, Demo_Link2]
Summary: This project analyzes asynchronous multiple-access performance with USRP by implementing synchronous/asynchronous multiple access using OFDM/GFDM waveforms.
[I2] Implementation of low-latency schemes
Skill sets: MATLAB, LTE MAC/PHY, 5G MAC/PHY, Channel coding, Rate control, New waveform design, Asynchronous reception
Results: [J02, Link]
Summary: This project analyzes the existing synchronous methods for low-latency communication and proposes an asynchronous multiple-access protocol to overcome the limitations of the existing synchronous methods. Specifically, we propose RX/TX structures to solve the inter-user-interference problem and rate mismatch problem caused by asynchronous multiple access. The main implementations of the project are:
LTE protocol implementation and delay analysis.
Implementation and analysis of synchronous low-latency techniques suggested by 3GPP standard. (sTTI, CB-PUSCH)
Formulate and implement asynchronously received signals in OFDMA and GFDMA environments.
Implementation of rate control scheme for asynchronous multiple access.
Channel coding implementation for BER analysis.
GUI-based link-level simulator. (link)
[I1] Two-way relaying performance analysis
Skill sets: MATLAB, Wireless channel modeling, Optimization
Results: [C01, Link]
Summary: This project is to improve uplink achievable rate of multi-cell two-way relaying by mitigating inter-cell interference. In pursuit of reducing the inter-cell interference, we propose a novel relay precoding optimization scheme in a two-cell two-way relay scenario with only local channel state information (CSI).
(RP5) 6G MIMO System Research, Supported by the Institute for Information & Communications Technology Promotion (IITP), 2021 - 2022
Implementations: [I8]
(RP4) Development of core technology for cooperative navigation of multiple marine robots and underwater wireless cognitive network, Supported by Korea Research Institute Of Ships and Ocean Engineering (KRISO), 2020 - 2022
Implementations: [I4]
(RP3) Electrical and Mechanical Drone Beamforming, Supported by the Institute for Information & Communications Technology Promotion (IITP), 2018 - 2022
Implementations: [I8]
(RP2) Research on Low-Delay WLAN for Very High Resolution VR/AR/MR, Supported by Samsung Research Funding & Incubation Center for Future Technology, 2018 - 2021
Implementations: [I5, I6]
(RP1) Research on Near-Zero Latency Network for 5G Immersive Service, Supported by the Institute for Information & Communications Technology Promotion (IITP), 2016 - 2020.
Implementations: [I2, I3]