5Gmobile research labResearch and innovations towards 5G and beyond

www.5Gmob i l e . eu

Czech Technical University in Prague

(CTU)

Among oldest technical universities in Central Europe► Established 1707

► Edict of Joseph I, Holy Roman Emperor

8 Faculties► Electrical Engineering (since 1950)

► Architecture

► Biomedical Engineering

► Civil Engineering

► Information Technology

► Mechanical Engineering

► Nuclear Sciences and Physical Engineering

► Transportation Sciences

~25’000 students

Top 400 Worldwide, Top 170 technical uni

2www.cvut.cz/en

Campus Dejvice

Prague, Czech Republic

Faculty of Electrical Engineering (FEE)

19 + 4 departments Department of Telecommunication Engineering

Department of Circuit Theory

Department of Computer Graphics and Interaction

Department of Computers

Department of Control Engineering

Department of Cybernetics

Department of Economics, Management and

Humanities

Department of Electric Drives and Traction

Department of Electroenergetics

Department of Electromagnetic Field

Department of Electrotechnology

Department of Informatics

Department of Languages

Department of Mathematics

Department of Measurement

Department of Mechanics and Materials

Science

Department of Microelectronics

Department of Physics

Department of Radioelectronics

Centre for Business Cooperation

Centre for Knowledge Management

Development and Implementation Laboratories

Education Support Centre

~ 7’000 students (largest faculty within CTU)

Faculty of Electrical Engineering

3http://fel.cvut.cz/en/

Department of Telecommunications

Engineering

Staffs

► 3 full professors

► 9 associate professors

► ~20 researchers, fellows

► ~30 PhD students

Research topics (research teams)

► Transmission Media and Systems

► Security

► Mobile Networks – 5Gmobile research lab

► Internet of Things and Identification (RFID)

► Industrial Applications

► Digital Signal Processing

► ICT Systems Management

► Educational Systems

► Assistive Technologies and eHealth

► Cloud computing

4http://comtel.fel.cvut.cz/en/

5Gmobile research lab

5Gmobile research lab focuses on key aspects and challenges related to

future mobile networks and emerging wireless technologies

Objective:

► To propose highly innovative solutions enabling 5G and beyond mobile networks

Staffs

► 1 associate professor

► 2 – 3 full time researchers

► 5 – 10 students (master, PhD)

Funding & Cooperation

► European and national research projects

► Industrial projects

► Government

5http://www.5Gmobile.eu

Areas of interest

Emerging wireless technologies and mobile networks towards 5G and beyond:

► Radio Resource Management

Power control/interference mitigation

Transmission of big data, MTC, NB-IoT

Cognitive radio and spectrum sharing

► Mobility Management

Neighborhood scanning

Handover decision

Call admission control

► Device-to-device communication

Radio resource management

Mobility management

Relaying

Combined RF and Visible Light Communication

► Aerial radio access network

Architecture of dynamic and flexible RAN with UAVs

► Mobile Edge Computing and Cloud-RAN

Computing and communication resource allocation for MEC

Splitting of control functionalities between BBU and RRHs

► Inteligent Transportation Systems

Integration and cooperation of VANET to 5G cellular networks

6http://www.5Gmobile.eu/activities/

Selected research topics

7

Function splitting, architecture and coexistence/cooperation between C-RAN and MEC

Cloud-RAN and MEC

http://www.5Gmobile.eu/activities/

Flexible Radio Access Network with UAVs

Architecture and optimization of self-optimizing

RAN with UAVs, radio resource management,

positioning, testbed

Selected research topics

8

UE1

UE2

FAP

Conventional routing

Proposed routing

UE2'

movement

INTERNET

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Measurement point

WAVE (IEEE 802.11p)

LTE-A (3GPP R10)

Wi-Fi (IEEE 802.11g,n)

Traffic

informationPSS

Map database

LASM

database

OBU

ITS and vehicular technologiesD2D communication in cellular networks

http://www.5Gmobile.eu/activities/

Percipio: Augmented reality app exploiting MEC

Development of mobile apps

Efficient transmission of big

data and IoT communication

over cellular networks

Big data and IoT over cellular networks

Dissemination

Publications:

► ~ 10 journal papers in last three years, selected papers:1. M. Vondra, Z. Becvar, P. Mach, "Vehicular network-aware route selection considering communication requirements of users for ITS",

IEEE Systems Journal, vol. 12, no. 2, 2018.

2. R.G. Cheng, Z. Becvar, P.H. Yang, "Modeling of Distributed Queueing-based Random Access for Machine Type Communications in

Mobile Networks", IEEE Communications Letters, vol. 22, no. 1, 2018.

3. P. Mach, Z. Becvar, "Energy-aware Dynamic Selection of Overlay and Underlay Spectrum Sharing for Cognitive Small cells",

IEEE Transactions on Vehicular Technology, vol. 66, no. 5, 2017.

4. J. Plachy, Z. Becvar, P. Mach, "Path Selection Enabling User Mobility and Efficient Distribution of Data for Computation at the Edge

of Mobile Network", Computer Networks, vol. 108, 2016.

5. M. Vondra, Z. Becvar, "Distance-based Neighborhood Scanning for Handover Purposes in Network with Small Cells",

IEEE Transactions on Vehicular Technology, vol. 65, no. 2, 2016.

► ~ 15 conference papers in last three years , selected papers:1. Z. Becvar, M. Najla, P. Mach, "Selection between Radio Frequency and Visible Light Communication Bands for D2D", IEEE VTC-Spring

2018 recent results, 2018.

2. P. Mach, Z. Becvar, A. Leshem, "Hybrid Spectrum Sharing for Cognitive Small Cells", IEEE WCNC 2018, 2018.

3. K. da Costa Silva, Z. Becvar, E. Cardoso, C. R. Francês, "Self-tuning Handover Algorithm Based on Fuzzy Logic in Mobile Networks

with Dense Small Cells", IEEE WCNC 2018, 2018.

4. Z. Becvar, M. Vondra, P. Mach, J. Plachy, D. Gesbert, "Performance of Mobile Networks with UAVs: Can Flying Base Stations

Substitute Ultra-Dense Small Cells?", European Wireless 2017, 2017. BEST PAPER AWARD.

5. J. Dolezal, Z. Becvar, T. Zeman, "Performance Evaluation of Computation Offloading from Mobile Device to the Edge of Mobile

Network", IEEE CSCN 2016, 2016.

Standardization

► ITU – Academia member since 2011

► ETSI/3GPP – Member from 2013 to 2017

Contributions to 3GPP Rel.12/13 in area of D2D communication and MEC

9http://www.5Gmobile.eu/publications/

Selected recent projects

10

National research projects

Communication in Self-optimizing Mobile Networks with Drones

► 01/2018 - 12/2020

► Goal: To develop algorithms enabling user’s communication in mobile networks

with highly flexible and self-optimizing radio access network encompassing

drones carrying small base stations

► Partners:

Topics

► Positioning of Flying Base Stations

► Association of communicating devices

► Machine learning

11

Architecture for control of Flying Base Stations

Joint association of UEs and positioning of Flying base stations

National research projects

Combined Radio Frequency and Visible Light Bands for Device-to-Device communication

► 01/2017 - 12/2019

► Goal: To merge concepts of device-to-device (D2D) communication and visible light

communication (VLC) to enable increase in capacity of future mobile networks since VLC is

capable of providing superior data rates in comparison to conventional radio frequency.

► Partners:

Topics

► Radio resource management

► Mode (band) selection for D2D

► Mobility management

12

Selection of RF/VLC communication band

Combined shared and dedicated resource allocation

Bilateral research projects

Game theoretic aspects of wireless spectrum access

► 07/2016 - 06/2018

► Goal: To develop game theory-based algorithms for cognitive spectrum sharing

and access in wireless networks

► Partners:

Topics

► Dynamic spectrum sharing based on Game theory

► Resource allocation for heterogeneous traffic

► Proof by emulations of a wireless network

13

Nash Bargaining solution for Cooperative Relaying Exploiting Energy Consumption

Energy-aware Dynamic Selection of Overlay and Underlay Spectrum Sharing

FP7 project TROPIC

Distributed computing, storage and radio resource allocation over cooperative

femtocells

► 09/2012 – 04/2015

► Goal: To introduce a new concept of small cell-clouding whose main idea is to merge cloud

computing with small cells towards 5G mobile networks – Mobile Edge Computing

► Partners:

5Gmobile in TROPIC

► Workpackage leader (Scenarios, Architecture, and Market Analysis)

► Leader of System integration task

► Example of contributions:

14www.ict-tropic.eu

Advanced architecture for control of small cell cloud

Cloud-aware power control

1

4

7

3

6

9

2

5

80* #

UE

MBS

movement1

4

7

3

6

9

2

5

80* #

UETx power

SCeNBce2

SCeNBce3

SCeNBce4

request

SCM

or

SCeNBce1

ProposalConventional

b) SCeNBces with open access

Augmented reality for Android

Selection of path for data delivery to/from mobile users

National research projects

New methods for capacity improvement of heterogeneous wireless

networks based on hybrid cognitive approach and small cells

► 01/2012 - 12/2015

► Goal: To develop algorithms and procedures to implement hybrid cognitive radio

to the network with small cells

► Partners:

Topics

► Interference mitigation by power control

► Sharing of resources among small cells

► Investigate the possibility to use underlay

spectrum access approach for small cells

15

Time

Fre

qu

en

cy

Operator

A

Operator

B

Operator

C

FAP

FUE1

FUE2

147

369

2580* #

147

369

2580* #

Sidewalk

147

369

2580* #

MUE-A

RBs occupied by FUE1

(CQI6)

USS

HSS

RBPU’s protection

Power control

Power control

+

Usage of

orthogonal radio

resources147

369

2580* #

MUE-

B/C

RBs occupied by FUE2

(CQI1)RBs occupied by users of

Operator B/C

Unoccupied

RBs

FAP i 147

369

2580* #

FAP j

147

369

2580* #

FUE i

FUE j

Radio resources

of FAP i

Radio resources

of FAP j

Radio resources

of FAP i

Radio resources

of FAP j

FAP i

FAP j

147

369

2580* #

FUE j

147

369

2580* #

FUE i

nSMB

nS

C

OAM to NAM

NAM to OAM

OAM mode NAM mode

Interference mitigation by sharing resources among small cells

Power control combined with hybrid cognitive approach

National research projects

Prediction Algorithms for Efficient Mobility Management in Wireless

Networks

► 01/2011 - 12/2014

► Goal: To develop efficient prediction techniques and exploit them in procedures

for support of user’s mobility

► Partners:

Topics

► Prediction for neighbor cell list management

► Prediction for call admission control

► Prediction for handover decision

16

Handover history NCL: 1,2,3,4Proposed NCL: 2,3,4

SCeNB1 p31

MeNB

SCeNB2

SCeNB3

SCeNB4

p32

p34

p33

Reduction of amount of scanned cells

Creation of neighbor cell list in macrocell

Prediction of SINR/CQIafter handover

FP7 project FREEDOM

Femtocell-based network enhancement by interference management and

coordination of information for seamless connectivity

► 01/2010 – 12/2011

► Goal: To provide innovative solutions to specific femtocell problems, with focus on

Interference-aware Radio Resource Management, Scalability, self-configuration and

synchronization, Backhaul quality-awareness, Mobility management

► Partners:

Operator advisory:

5Gmobile in FREEDOM

► Workpackage leader (Radio resource and mobility management)

► Example of contributions:

www.ict-freedom.eu 17

Power adaptation

FAP

UE1FAP coverage

(radius r1) FAP

UE1FAP cov

erag

e

(radi

us r2)

Utilization of FAP frame Utilization of FAP frame

Packet gateway

Serving gateway

Serving gateway

Fast cell selection for OFDMA networks

DL power control algorithm

Estimation of throughput gain

for elimination of redundant handovers

FAP

FAP

FAP

FAP

FAPFAP

FAP

FAP

FAP

HM

decr

ease

s

MBS Radius R

r1

r2

r3

r4

r5

1

4

7

3

6

9

2

5

80* #

MS

Dist. ASà MS dMacro BS

Adaptive hysteresis for handover decision

FP7 project ROCKET

Reconfigurable OFDMA-based Cooperative NetworKs Enabled by Agile SpecTrum Use

► 01/2009 – 12/2010

► Goal: To provide a ubiquitous wireless solution to reach bit rates higher than 100Mbps with

peak throughputs higher than 1Gbps based on Reconfigurable OFDMA Cooperative Networks

enabled by agile spectrum use.

► Partners:

5Gmobile in ROCKET

► Example of contributions:

18www.ict-rocket.eu

Load balancing by handover of relays

CSI acquisition for mobile relays

HO_ThrSer4,2

HO_ThrTar4,2

HOZone

HOZone

Two-threshold prediction of handoverExploitation of handover

prediction in WiMAX

Thank you!

zdenek.becvar@fel.cvut.czwww.5Gmobile.eu

@5Gmobile_CTU