The Mobile Network and Communications Lab focuses on future wireless and mobile network architecture, protocols, and algorithms. Research areas include Network Softwarization (SDN/NFV/P4/In-Network Computing), Beyond 5G and 6G, Softwarized/Virtualized/Open-RAN, AI/ML-powered Network Automation and Optimization, Mobile Edge Computing (MEC) and Vehicular Networking, Future Internet (Information Centric Networking (ICN) and Computing in the Network (COIN)), and emerging wireless/mobile services such as IoT.

모바일 네트워크 및 통신 연구실에서는 미래의 무선/모바일 네트워크 아키텍처, 프로토콜, 알고리즘을 연구한다. 주요 연구 분야는 네트워크 소프트웨어화 (SDN/NFV/P4/In-Network Computing), Beyond 5G 및 6G, 소프트웨어화/가상화/개방형 RAN, AI/ML 기반 네트워크 자동화 및 최적화, 모바일 에지 컴퓨팅 (MEC) 및 차량 네트워킹, 미래 인터넷 (정보 중심 네트워킹 (ICN) 및 네트워크 컴퓨팅 (COIN)), 그리고 IoT와 같은 새로운 무선/모바일 서비스 등이 있다.

A scalable video coding (SVC)-Aware retransmission scheme for multimedia streaming in IEEE 802.11 WLANs

p-persistent frame replication for resilient services in multi-radio wireless networks

Optimal Channel Selection for Licensed Assisted Access (LAA)

LTRE: Lightweight Traffic Redundancy Elimination in Software-Defined Wireless Mesh Networks

Secure and scalable esim service provisioning framework for mobile virtual network operators

A Target Selection Scheme for Learning-Based Switch Migration in Distributed Software-Defined Networks

Hybrid robust header compression in proxy mobile ipv6 over wireless mesh networks

A hybrid wireless data access algorithm in mobile hotspots

Timer-based push scheme for online social networking services in wireless networks

Poster: Prediction-Based Low-overhead In-band Network Telemetry

QoE-enhanced adaptation algorithm over DASH for multimedia streaming

Proactive route optimization in SIP mobility support protocol

The software-defined vehicular cloud: A new level of sharing the road

Switch-centric Byzantine fault tolerance mechanism in distributed software defined networks

Performance analysis of multicast and broadcast services in mobile WiMAX systems

Mobility-aware call admission control algorithm in vehicular WiFi networks

5G and User Experience: A Bibliometric Approach

A channel adaptive ack mechanism in high rate wireless personal area networks

Toward highly available and scalable software defined networks for service providers

Deep spatiotemporal correlation network model for load prediction in service function chaining

WAVE: Popularity-based and collaborative in-network caching for content-oriented networks

A probabilistic neighbor discovery algorithm in wireless ad hoc networks

Mobility-aware vehicle-to-grid control algorithm in microgrids

Auto-NFT: Automated Network Function Translator in Virtualized Programmable Data Plane

Performance optimization of serverless computing for latency-guaranteed and energy-efficient task offloading in energy-harvesting industrial IoT

A distributed NWDAF architecture for federated learning in 5G

A measurement study on Internet access in vehicular Wi-Fi networks

K-means 를 활용한 Simulated Annealing 기반 컨트롤러 배치 알고리즘

Efficiency analysis of WiFi offloading techniques

An optimal battery charging algorithm in electric vehicle-assisted battery swapping environments

Virtualization in programmable data plane: A survey and open challenges

Flow-aware service function embedding algorithm in programmable data plane

IEEE 802.11 무선랜에서의 멀티미디어 전송을 위한 스케일러블 비디오 코딩 인지형 재전송 기법

Energy utilization-aware operation control algorithm in energy harvesting base stations

Optimal haptic communications over nanonetworks for E-health systems

Secure distribution of protected content in information-centric networking

Multi-task aware resource efficient traffic classification via in-network inference

Low-complexity master controller assignment in distributed SDN controller environments

소프트웨어 정의 네트워크의 확률적 컨트롤러 선택 기법

An incremental multicast grouping scheme for mmWave networks with directional antennas

Multi-tenancy-and redundancy-aware in-network aggregation using programmable switches

A two-stage failover mechanism for high availability in service function chaining

Neighbor-aware energy-efficient monitoring system for energy harvesting internet of things

이동 핫스팟을 위한 네트워크 이동성 지원 기술 동향

Transformer-based Multi-Task Learning for NWDAF

A novel service architecture for personalized context aware services

Split computing for mobile devices: Energy and latency perspective

Service Framework of User Equipment for 6G Mobile Network

A lightweight and secure vehicular edge computing framework for v2x services

Optimal binding-management-key refresh interval in mobile IPv6 networks

Hierarchical network data analytics framework for 6g network automation: Design and implementation

REMS: Resource-efficient and adaptive model selection in 5G NWDAF

SARIF: A novel framework for integrating wireless sensor and RFID networks

Frequency-Aware and Item-Wise In-band Network Telemetry for Per-flow Measurement

An implementation study of 3gpp network data analytics function on kubernetes

Dynamic split computing framework for multi-task learning models: A deep reinforcement learning approach

DLM: Delayed location management in network mobility (NEMO)-based public transportion systems

P4ToR: Conflict-free distributed scheduling for hybrid optical/electrical datacenter networks

Adaptive deadline determination for mobile device selection in federated learning

Accelerating convolutional neural network inference in split computing: An in-network computing approach

A belief-based task offloading algorithm in vehicular edge computing

Efficient data access algorithms for ITS-based networks with multi-hop wireless links

A software-defined surveillance system with energy harvesting: Design and performance optimization

Contents-aware multicast in rate adaptive wireless networks

Quantization-Aware In-Network Aggregation for Minimizing Communication Overhead

OpenDaylight 의 분산 컨트롤러 구조 분석

DASH 기반 멀티미디어 스트리밍 서비스에서 사용자 체감품질 향상을 위한 비트율 적응 기법

Poster: A Cross-Slice Resource Orchestration Framework for 5G Network Services

Bloom-filter-aided redundancy elimination in opportunistic communications

Poster: Adaptive In-Network Inference using Early-Exits

Proxy-based wireless data access algorithms in mobile hotspots

Traffic Redundancy Elimination over a Programmable Data Plane: Design and Implementation

NetSimGym: The gymnasium for reinforcement learning in networking research

Boosting edge computing performance through heterogeneous manycore systems

Comprehensive throughput analysis of unslotted ALOHA for low-power wide-area networks

Self-Adaptive Location Checking Mechanism in Mobile Ad-hoc Networks

Optimal master controller assignment for minimizing flow setup latency in SDN

A credible service level agreement enforcement framework for 5G edge

스케일러블 비디오 코딩 기반 멀티미디어 전송을 위한 재전송 기법

VoIP capacity analysis in full duplex WLANs

A cross-layer approach to reduce channel access delay jitter in IEEE 802.11 WLANs

Design and implementation of cloud-native open RAN testbed

무선랜 시스템에서 전이중 통신을 위한 MAC 프로토콜 분석

차량 네트워크 기반의 클라우드 컴퓨팅 기술 동향

Poster: ISOML: Inter-Service Online Meta-Learning for Newly Emerging Network Traffic Prediction

Age of information based beacon transmission for reducing status update delay in platooning

논 문 투 고 신 청 서

A fair listen-before-talk algorithm for coexistence of LTE-U and WLAN

Relay-based network mobility support in proxy mobile IPv6 networks

Priority-based dynamic resource allocation scheme in network slicing

Proximity based peer-to-peer overlay networks (P3ON) with load distribution

Network mobility support in distributed ID/locator separation architectures

Dynamic adaptation of contention window for consumer devices in WiMedia home networks

Multi-stage multicast in IEEE 802.11 wireless networks

Privacy-preserving and trustworthy device-to-device (D2D) offloading scheme

NOn-parametric Bayesian channEls cLustering (NOBEL) scheme for wireless multimedia cognitive radio networks

Waterfall: Video distribution by cascading multiple swarms

효율적인 서비스 기능 체이닝을 위한 최적의 플로우 분배 알고리즘

SDN-based distributed mobility management for 5G

Software Defined Vehicular Advertisement Platform

Diabetic retinopathy detection using VGG-NIN a deep learning architecture

A study on performance of hierarchical mobile IPv6 in IP-based cellular networks

Fast handoff scheme based on mobility prediction in public wireless LAN systems

Fast-handoff support in IEEE 802.11 wireless networks

Fast inter-AP handoff using predictive authentication scheme in a public wireless LAN

Pre-authenticated fast handoff in a public wireless LAN based on IEEE 802.1 x model

6G R&D vision: Requirements and candidate technologies

Performance analysis of fast handover in mobile IPv6 networks

Joint optimization of service function placement and flow distribution for service function chaining

Snc: a selective neighbor caching scheme for fast handoff in ieee 802.11 wireless networks

Adaptive route optimization in hierarchical mobile IPv6 networks

Selective in-band network telemetry for overhead reduction

Joint client selection and bandwidth allocation algorithm for federated learning

Multiband directional neighbor discovery in self-organized mmWave ad hoc networks

A performance comparison of mobility anchor point selection schemes in hierarchical mobile IPv6 networks

Haneul Ko

YANGHEE CHOI

Taekyoung (Ted) Kwon

Jaewook Lee

Dongeun Suh

Xuemin (Sherman) Shen

Wonjun Lee

Y. Kim

Victor C. M. Leung

Kideok Cho

Jong-Hyouk Lee (이종혁)

Dr. Humphrey Rutagemwa

György Dán

Lin Cai

Munyoung Lee (이문영)

Heejun Roh

Ding-Zhu Du

Jianping Pan

Amjad Ali

Ved P. Kafle

Prof. Pack

In content-oriented networking, content files are typically cached in network nodes, and hence how to cache content files is crucial for the efficient content delivery and cache storage utilization. In this paper, we propose a content caching scheme, WAVE, in which the number of chunks to be cached is adjusted based on the popularity of the content. In WAVE, an upstream node recommends the number of chunks to be cached at its downstream node, which is exponentially increased as the request count increases. Simulation results reveal that the average hop count of content delivery of WAVE is lower than other schemes, and the inter-ISP traffic volume of WAVE is the second lowest (CDN is the lowest). Also, WAVE achieves higher cache hit ratio and fewer frequent cache replacements than other on-demand caching strategies.

Diabetic retinopathy (DR) is a disease that damages retinal blood vessels and leads to blindness. Usually, colored fundus shots are used to diagnose this irreversible disease. The manual analysis (by clinicians) of the mentioned images is monotonous and error-prone. Hence, various computer vision hands-on engineering techniques are applied to predict the occurrences of the DR and its stages automatically. However, these methods are computationally expensive and lack to extract highly nonlinear features and, hence, fail to classify DR's different stages effectively. This paper focuses on classifying the DR's different stages with the lowest possible learnable parameters to speed up the training and model convergence. The VGG16, spatial pyramid pooling layer (SPP) and network-in-network (NiN) are stacked to make a highly nonlinear scale-invariant deep model called the VGG-NiN model. The proposed VGG …

Next-generation wireless/mobile networks will be IP-based cellular networks integrating Internet with the existing cellular networks. Recently, Hierarchical Mobile IPv6 (HMIPv6) was proposed by the Internet Engineering Task Force (IETF) for efficient mobility management. HMIPv6 reduces the amount of signaling and improves the performance of MIPv6 in terms of handoff latency. Although HMIPv6 is an efficient scheme, the performance of wireless networks is highly dependent on various system parameters such as user mobility model, packet arrival pattern, etc. Therefore, it is essential to analyze the network performance when HMIPv6 is deployed in IP-based cellular networks. In this paper, we develop two analytic models for the performance analysis of HMIPv6 in IP-based cellular networks, which are based on the random-walk and the fluid-flow models. Based on these analytic models, we formulate the location …

Recently, wireless LAN systems have been widely deployed for public mobile Internet services. Public wireless LAN systems can provide high speed Internet connectivity using portable devices such as laptop computers, personal digital assistants (PDAs), etc. In public wireless LAN systems, reliable user authentication and mobility support are essential issues. However, re-authentication during handoff procedures causes long handoff latency and this affects the quality of service in real-time multimedia applications. A fast handoff scheme based on mobility prediction is proposed. In this scheme, a mobile host entering the area covered by an access point (AP) performs authentication procedures for multiple APs, rather than just the current AP. These multiple APs are selected by a prediction method called the frequent handoff region (FHR) selection algorithm, which takes into account users' mobility patterns, service …

With the advance of wireless local area network (WLAN) technology, handoff support has become one of the most important issues in IEEE 802.11 WLANs. However, the current IEEE 802.11 specification does not provide the fast handoff required for real-time multimedia applications. To support fast handoff in IEEE 802.11 networks, a number of fast-handoff schemes have been proposed in the literature. In this article we review these fast-handoff schemes and analyze their advantages and disadvantages qualitatively. After that, important design considerations for mobility support in future IEEE 802.11 networks are suggested. Also, we introduce a fast-handoff framework which adaptively meets different application requirements via a cross-layer approach.

Recently, wireless LAN systems have been widely deployed for public mobile Internet services. Public wireless LAN system can provide high speed Internet connectivity using portable devices such as laptop computers, Personal Digital Assistants (PDA), etc. In the public wireless LAN systems, reliable user authentication and mobility support are essential issues. However, re-authentication during handoff procedures causes long handoff latency and this affects the quality of service in real-time multimedia applications. In this paper, we proposed a fast Inter-AP handoff scheme based on a predictive authentication method. In our scheme, a mobile host entering the area covered by an AP, performs authentication procedures for multiple APs, rather than just the current AP. These multiple APs are selected using a Frequent Handoff Region (FHR) selection algorithm, which takes into account users' mobility patterns …

With the popularity of portable devices, public Internet access service using wireless LAN has started in many countries. In the public wireless LAN network, since re-authentication latency during handoff affects the service quality of multimedia applications, minimizing authentication latency is very important in order to support real-time multimedia applications on the wireless IP network. In this paper, we proposed a fast handoff scheme using the predictive authentication method based on IEEE 802.1x model. In our scheme, a mobile host entering an area of an access point (AP) performs authentication procedures for a set of multiple APs instead of the current AP. Multiple APs are selected using a Frequent Handoff Region (FHR) selection algorithm considering users’ mobility patterns and their service classes. Since a mobile host is authenticated for FHR in advance, the handoff latency due to the re-authentication …

Recently, there has been an increasing interest in operating long-term evolution (LTE) in unlicensed bands (i.e., LTE-U). However, since LTE and wireless local area networks (WLANs) are designed to operate in different bands, they have no coexistence mechanism, which leads to significant performance degradation. In particular, since LTE does not sense channel vacancy prior to transmissions, the LTE interference severely affects the WLAN operation. To address this problem, we propose a fair listen-before-talk (F-LBT) algorithm for coexistence of LTE-U and WLAN in unlicensed bands. F-LBT jointly considers the total system throughput and the fairness between LTE-U and WLAN and then allocates an appropriate idle period for WLAN. Evaluation results demonstrate that F-LBT can improve the total system throughput while providing the fairness between LTE-U and WLAN.

The Korean Institute of Communications and Information Sciences (KICS), which is the largest information and communication technology institute in Korea, has been active in working towards development and standardization of mobile communication technology. In response to the need to meet upcoming 6G technical challenges in innovative applications such as hologram telepresence, extended reality (XR), digital twin, and connected robotics, the KICS 6G research initiative (KICS 6GRI) group has been created to establish a vision for key 6G technologies and identify research trends and directions. This article, therefore, covers major performance indicators and requirements envisioned by the KICS. In addition, we provide a comprehensive discussion of various candidate 6G technologies including (sub-)terahertz (THz), intelligent reflecting surface (IRS), artificial intelligence (AI)-based techniques, and non …

The Fast Handover protocol [1] provides seamless handover in wireless IP networks by minimizing handover latency. To reduce handover latency and to provide faster handover, Fast Handover uses anticipation based on layer 2 (L2) trigger information. Therefore, it incurs higher signaling costs compared with the basic Mobile IP protocol. Furthermore, since the L2 trigger is based on fluctuating wireless channel states, the handover anticipation using the L2 trigger may sometimes be incorrect. In the case of incorrect anticipation, unnecessary buffer space may be used for the purpose of providing a smooth handover. Therefore, it is essential to analyze these overhead costs, in order to evaluate and compare the performance of Fast Handover with that of the basic Mobile IP protocol. In this paper, we analyzed the overhead associated with Fast Handover including the signaling cost and the packet delivery cost. We …

In this paper, we consider the problem of optimal dynamic service function (SF) placement and flow routing in a SF chaining (SFC) enabled network. We formulate a multi-objective optimization problem to maximize the acceptable flow rate and to minimize the energy cost for multiple service chains. We transform the multi-objective optimization problem into a single-objective mixed integer linear programming (MILP) problem, and prove that the problem is NP-hard. We propose a polynomial time algorithm based on linear relaxation and rounding to approximate the optimal solution of the MILP. Extensive simulations are conducted to evaluate the effects of the energy budget, the network topology, and the amount of server resources on the acceptable flow rate. The results demonstrate that the proposed algorithm can achieve near-optimal performance and can significantly increase the acceptable flow rate and the …

Mobility support is one of the most challenging issues in IEEE 802.11 networks. In the proactive neighbor caching (PNC) scheme, when a mobile host is connected to an access point (AP), its context (e.g. security association or QoS information) is propagated in advance to all of the AP's neighbors to reduce handoff processing time. In this paper, we propose a selective neighbor caching (SNC) scheme, which propagates a mobile host's context only to the selected neighbor APs considering handoff patterns. Therefore, the SNC scheme can reduce the message overhead on the links among APs. We evaluate the performance of the SNC and PNC schemes in terms of the cache hit probability and the signaling cost. Especially, we investigate the effect of mobility and cache size through extensive simulations. The results reveal that the SNC scheme provides a comparable cache hit probability while significantly …

In a vehicle-to-grid (V2G) system, electric vehicles (EVs) can be efficiently used as power consumers and suppliers to achieve microgrid (MG) autonomy. Since EVs can act as energy transporters among different regions (i.e., MGs), it is an important issue to decide where and when EVs are charged or discharged to achieve the optimal performance in a V2G system. In this paper, we propose a mobility-aware V2G control algorithm (MACA) that considers the mobility of EVs, states of charge of EVs, and the estimated/actual demands of MGs and then determines charging and discharging schedules for EVs. To optimize the performance of MACA, the Markov decision process problem is formulated and the optimal policy on charging and discharging is obtained by a value iteration algorithm. Since the mobility of EVs and the estimated/actual demand profiles of MGs may not be easily obtained, a reinforcement learning …

Radio frequency identification (RFID) is a promising technology for ubiquitous computing. When we embed RFID tags into environment-sensitive objects, RFID networks must be integrated with wireless sensor networks (WSNs). In this article, we first identify key requirements for designing an efficient and flexible integration framework. Based on the requirements, we propose a sensor and an RFID integration framework (SARIF). As middleware that operates on top of RFID networks and WSNs, SARIF enables the design of diverse applications flexibly and manages network resources efficiently. We also demonstrate the effectiveness of SARIF by implementing a prototype.

WiFi offloading is a promising technique for addressing the mobile data explosion problem. In this paper, we consider two types of WiFi offloading techniques: 1) opportunistic WiFi offloading, where data offloading is conducted only when a mobile node opportunistically meets WiFi access points (APs); and 2) delayed WiFi offloading, where data transfer is delayed with the expectation of future AP contacts. We developed analytical models on WiFi offloading efficiency, which is defined as the ratio of the amount of offloaded data to the total amount of data. Extensive simulation results are given to validate the analytical models and to demonstrate the effects of the average cellular residence time, the delay bound, the variability of the WiFi residence time, the WiFi data rate, and the average session duration on WiFi offloading efficiency.

By introducing a mobility anchor point (MAP), Hierarchical Mobile IPv6 (HMIPv6) reduces the signaling overhead and handoff latency associated with Mobile IPv6. However, if a mobile node (MN)'s session activity is high and its mobility is relatively low, HMIPv6 may degrade end-to-end data throughput due to the additional packet tunneling at the MAP. In this paper, we propose an adaptive route optimization (ARO) scheme to improve the throughput performance in HMIPv6 networks. Depending on the measured session-to-mobility ratio (SMR), ARO chooses one of the two different route optimization algorithms adaptively. Specifically, an MN informs a correspondent node (CN) of its on-link care-of address (LCoA) if the CN's SMR is greater than a predefined threshold. If the SMR is equal to or lower than the threshold, the CN is informed with the MN's regional CoA (RCoA). We analyze the performance of ARO in …

In-band network telemetry (INT) in programming protocol-independent packet processor (P4) is an emerging network monitoring framework that allows data packets to query different switch-internal states. Meanwhile, the existing INT monitors all data packets and thus significant network overhead can be caused by per-packet INT header and the monitoring engine can be overloaded. To address these issues, we proposed a selective INT (sINT) where the ratio of packets to be monitored can be adjusted depending on the frequency of significant changes in network information. The preliminary results show that sINT can detect all the significant data plane events while reducing the network overhead and the monitoring engine load.

In federated learning (FL), if the participating mobile devices have low computing power and poor wireless channel conditions and/or they do not have sufficient data for various classes, a long convergence time is required to achieve the desired model accuracy. To address this problem, we first formulate a constrained Markov decision process (CMDP) problem that aims to minimize the average time of rounds while maintaining the numbers of trained data and trained data classes above certain numbers. To obtain the optimal scheduling policy, the formulated CMDP problem is converted into an equivalent linear programming (LP). Additionally, to overcome the problem of the curse of dimensionality in CMDP, we develop a joint client selection and bandwidth allocation algorithm (J-CSBA) that jointly selects appropriate mobile devices and allocates suitable amount of bandwidth to them at each round by considering …

A 60-GHz radio is an attractive technology in wireless home networks because it can provide high data rate up to a few gigabits per second. A 60-GHz network generally uses directional antennas and has a problem of neighbor discovery (ND), although it has an advantage of high data transmissions. In particular, if a directional antenna is used in self-organized wireless ad hoc networks, the ND time and energy consumption can be significantly increased. To solve this problem, we propose a multiband directional ND (MDND) scheme, in which management procedures are carried out by using the 2.4-GHz band with the omnidirectional antennas, whereas data transmissions are performed by using the 60-GHz band with directional antennas. Analytical models on the ND time and energy consumption are also derived by considering assisted and beamforming periods in the ND procedure through the omnidirectional …

Hierarchical Mobile IPv6 (HMIPv6) introduces a mobility anchor point (MAP) that localizes the signaling traffic and hence reduces the handoff latency. In addition to processing binding update messages from mobile nodes (MNs) on behalf of MNs’ home agents (HAs), the MAP performs data traffic tunneling destined to or originated from MNs, both of which will burden the MAP substantially as the network size grows. To provide scalable and robust mobile Internet services to a large number of visiting MNs, multiple MAPs will be deployed. In such an environment, how to select an appropriate MAP has a vital effect on the overall network performance. In this paper, we choose four MAP selection schemes: the furthest MAP selection scheme, the nearest MAP selection scheme, the mobility-based MAP selection scheme, and the adaptive MAP selection scheme. Then, we compare their performances quantitatively in terms …

Professor

Sangheon Pack

고한얼 교수

MNCLab

교수님 소개

팩 교수

연구실 소개

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Poster: Prediction-Based Low-overhead In-band Network Telemetry

K-means 를 활용한 Simulated Annealing 기반 컨트롤러 배치 알고리즘

Transformer-based Multi-Task Learning for NWDAF

연구실 보유 특허

대학별 입시끈

우리 연구실 모집

교수님 소개

팩 교수

연구실 키워드

알럼나이가 간 회사

연구실 지원 방법

대우 조건

연도별 논문 인용수

저널 & 학회 논문 출판 수

연구실 논문 목록

Poster: Prediction-Based Low-overhead In-band Network Telemetry

K-means 를 활용한 Simulated Annealing 기반 컨트롤러 배치 알고리즘

Transformer-based Multi-Task Learning for NWDAF

연구실 보유 특허

최근 3년간 연구실적 높은 연구실

대학별 입시끈

우리 연구실 모집