A5010508470- Advanced MIMO Systems Optimization
- Cooperative Communication and Network Coding
- Advanced Wireless Communication Technologies
- Energy Harvesting in Wireless Networks
- Advanced Wireless Communication Techniques
- Millimeter-Wave Propagation and Modeling
- Wireless Communication Security Techniques
- Antenna Design and Analysis
- Biodiesel Production and Applications
- Full-Duplex Wireless Communications
- Antenna Design and Optimization
- Advanced Wireless Network Optimization
- Caching and Content Delivery
- Wireless Communication Networks Research
- Supercapacitor Materials and Fabrication
- Advancements in Battery Materials
- Agriculture, Soil, Plant Science
- Wireless Body Area Networks
- Wastewater Treatment and Nitrogen Removal
- Indoor and Outdoor Localization Technologies
- Electrochemical sensors and biosensors
- Conducting polymers and applications
- TiO2 Photocatalysis and Solar Cells
- Microbial Metabolic Engineering and Bioproduction
- Privacy-Preserving Technologies in Data
Jeonbuk National University
2016-2025
Electronics and Telecommunications Research Institute
2022
Advanced Institute of Convergence Technology
2022
Korea University
2006-2019
King's College London
2019
Chonbuk National University Hospital
2016-2019
Pohang University of Science and Technology
2018
Kansas State University
2018
Seowon University
2009-2017
Chonnam National University
2007-2016
This work studies the joint design of precoding and backhaul compression strategies for downlink cloud radio access networks. In these systems, a central encoder is connected to multiple multi-antenna base stations (BSs) via finite-capacity links. At encoder, followed by in order produce rate-limited bit streams delivered each BS over corresponding link. current state-of-the-art approaches, signals intended different BSs are compressed independently. contrast, this proposes leverage...
This paper studies the joint design of cloud and edge processing for downlink a fog radio access network (F-RAN). In an F-RAN, as in cloud-RAN (C-RAN), baseband unit (BBU) can perform on behalf remote heads (RRHs) that are connected to BBU by means fronthaul links. addition minimal functionalities conventional RRHs C-RAN, F-RAN may be equipped with local caches, which frequently requested contents stored, well capabilities. They hence referred enhanced RRH (eRRH). focuses delivery phase...
Cloud radio access networks (C-RANs) provide a novel architecture for next-generation wireless cellular systems whereby the baseband processing is migrated from base stations (BSs) to control unit (CU) in "cloud." The BSs, which operate as units (RUs), are connected via fronthaul links managing CU. carry information about signals-in uplink RUs CU and vice versa downlink-in form of quantized in-phase quadrature (IQ) samples. Due large bit rate produced by IQ signals, compression prior...
While the results of animal studies have shown that perfluorinated compounds (PFCs) can modulate concentrations thyroid hormones in blood, limited information is available on relationships between PFCs human blood serum and fetal hormones. The relationship hormone or birth weight, ratios major maternal were determined. Concentrations measured pregnant women (n = 44), cord 43) breast milk 35). Total thyroxin (T4), triiodothyronin (T3) stimulating (TSH) also quantified. versus 1:1.93, 1.02,...
This paper studies linear precoding and decoding schemes for K-user interference channel systems. It was shown by Cadambe Jafar that the alignment (IA) algorithm achieves a theoretical bound on degrees of freedom (DOF) Based this, we first introduce non-iterative solution scheme. To this end, determine orthonormal basis vectors each user's matrix to achieve maximum DOF, then optimize matrices in IA method according two different with respect individual rate. Second, an iterative processing...
Hydroxylated polybrominated diphenyl ethers (OH-PBDEs) are suspected endocrine disruptors, which can pass through the mammalian placenta and accumulate in human maternal-fetal-placental unit. However, little is known about mechanisms of placental transfer associated risk(s). Ten OH-PBDE congeners, bisphenol A (BPA), total 17beta-estradiol (E2), thyroxine (T4) were quantified blood serum from 26 pregnant women 28 matching fetuses, including three pairs twins South Korea. Only 6-OH-BDE-47, a...
Hierarchically mesoporous CuO/carbon nanofiber coaxial shell-core nanowires (CuO/CNF) as anodes for lithium ion batteries were prepared by coating the Cu2(NO3)(OH)3 on surface of conductive and elastic CNF via electrophoretic deposition (EPD), followed thermal treatment in air. The CuO shell stacked with nanoparticles grows radially toward core, which forms hierarchically three-dimensional (3D) structure abundant inner spaces nanoparticle-stacked shell. shells high conductivity 1D increase...
This work studies the joint design of cloud and edge processing for downlink a fog radio access network (F-RAN). In an F-RAN, is carried out by baseband unit (BBU) that connected to enhanced remote heads (eRRHs) means fronthaul links. Edge instead enabled local caching popular content at eRRHs. Focusing on delivery phase arbitrary pre-fetching strategy, novel superposition coding approach proposed based hybrid use links in both hard-transfer soft-transfer modes. With former, non-cached files...
This letter studies the optimization of rate-splitting multiple access (RSMA) transmission technique for a cloud radio network (C-RAN) downlink system. Main idea RSMA is to split message each user equipment (UE) private and common messages perform superposition coding at transmitters so as enable flexible decoding receivers. It challenging implement ideal scheme particularly when there are many UEs, since number signals exponentially increases with UEs. An efficient hence proposed that uses...
This letter studies deep learning (DL) approaches to optimize beamforming vectors in downlink multi-user multi-antenna systems that can be universally applied arbitrarily given transmit power limitation at a base station. We exploit the sum budget as side information so neural networks (DNNs) effectively learn impact of constraint optimization. Consequently, single training process is sufficient for proposed universal DL approach, whereas conventional methods need train multiple DNNs all...
Deep learning (DL) techniques have been intensively studied for the optimization of multi-user multiple-input single-output (MU-MISO) downlink systems owing to capability handling nonconvex formulations. However, fixed computation structure existing deep neural networks (DNNs) lacks flexibility with respect system size, i.e., number antennas or users. This paper develops a bipartite graph network (BGNN) framework, scalable DL solution designed multi-antenna beamforming optimization. The...
In this work, joint decompression and decoding is studied for the uplink of multi-antenna cloud radio access networks. system, a set mobile stations (MSs) wish to communicate with "cloud" decoder through base (BSs), which are connected digital backhaul links limited capacity. The BSs compress received signal send it decoder, performs signals from all MSs. While conventional solution prescribes that first then decoding, recent work has shown potentially larger rates can be achieved (JDD) at...
This work studies distributed compression for the uplink of a cloud radio access network, where multiple multi-antenna base stations (BSs) communicate with central unit, also referred to as decoder, via capacity-constrained back-haul links. Distributed source coding strategies are potentially beneficial since signals received at different BSs correlated. However, they require each BS have information about joint statistics across BSs, and generally sensitive uncertainties regarding such...
This letter studies a joint design of fronthaul and radio access links for cloud network (C-RAN) with wireless fronthauling, where baseband unit (BBU) controls number remote heads (RRHs) via to communicate user equipments. We first review basic approach based on single cell concept, whereby the RRHs operate as decode-and-forward (DF) relays. Then, cooperative transmission from decompress-and-forward (DCF) relaying is proposed, which standard concept in C-RAN. For both strategies, problem...
Underwater Wireless Sensor Networks (UWSNs) offer a huge number of applications, most which require tagging the sensed data with location information. This makes localization algorithms an essential part UWSN design. paper presents comprehensive survey recently proposed literature on in UWSNs. The surveyed are evaluated based wide-ranging set parameters constitute elementary features algorithm. Moreover, order to familiarize readers basic design algorithms, brief description mode operations...
In the upcoming 6G era, multiple access (MA) will play an essential role in achieving high throughput performances required a wide range of wireless applications. Since MA and interference management are closely related issues, conventional techniques limited that they cannot provide near-optimal performance universal regimes. Recently, rate-splitting (RSMA) has been gaining much attention. RSMA splits individual message into two parts: common part, decodable by every user, private only...
In this paper, we study coordinated multi-cell downlink systems where multiple base stations jointly design a transmission strategy by sharing channel state information. Particularly, tackle the signal-to-interference-plus-noise ratio (SINR) balancing problem to maximize worst-user rate. We consider single-input single-output (SISO) interference channels (IFC) all nodes are equipped with single antenna, and there is one active user in each cell. First, achievable rate regions symmetric...