Communication Research Center National Communication...

國立臺灣大學電信研究中心Communication Research Center

National Taiwan University國立臺灣大學電信研究中心Communication Research Center

National Taiwan University

LTE服務透過授權來分享接取頻譜之促成技術與運作模式研究 (1/3)

Enabling Technologies and Operation Models for Licensed Shared Access by LTE Services (1/3)

張時中、蔡志宏、魏學文、林風

周俊廷、林守德

王奕翔、林丁丙、蘇炫榮

06/11/2015


National Taiwan University Spectrum Shared Access



O1) to investigate DSS operation models, analyze sharing strategies of spectrum and radio access network, and develop decision tools for LSA by LTE services;

O2) to develop advanced spectrum sensing techniques and dynamically update spectrum map as an informational cornerstone of efficient control and management of next-generation sharing-based spectrum access;

O3) to design enabling dynamic spectrum sensing-based transmission and access technologies for LSA by LTE services; and

O4) to implement and test the technologies and designs above by exploiting self-developed USRP platform, and LTE small cell and EPC experiment platforms developed by III and/or ITRI.

Objectives (3 Years)



Main Project: Enabling Technologies and Operation Models for Licensed Shared Access by LTE Services

Project and Team Organization

Subproject 1 : Operation Model Analysis and Mechanism Design for

Licensed Shared Access

1-1 : Operation Modeling and Incentive Mechanism Design for LSA(張時中)

1-2 : Business model and Operation Design for the LSA Repository(蔡志宏)

1-3: Evaluation of Co-RAN Technology for LSA networks (魏學文)

1-4: Multi-Strategy Dynamic Spectrum Access in Cognitive Radio Networks (林風)

Subproject 2: Integrated Spectrum Sensing and

Identification of White Space for Spectrum Sensing

2-1: Sensing and Identification of White Space for Spectrum Sensing (周俊廷)

2-2: Crowd Sourcing for Augmented Spectrum Map (林守德)

Subproject 3:Dynamic Spectrum Sensing-based Transmission and

Access Technologies for Licensed Shared Access

3-1 Sensing Delay and Inaccuracy Resilient Spectrum Sharing (王奕翔)

3.2 Transmission Technology of Generalized Frequency Division Multiplexing (GFDM) and Carrier Aggregation for LSA(林丁丙)

3.3. Flexible and Autonomous Spectrum Sharing (蘇炫榮)



Year 1 Deliverable: Baseline Design and Implementation of Cornerstone Modules in Dynamic Sensing Observatory, Multiple-leveled Spectrum Repository and Auction-based Spectrum Assignment for LSA

GLDBNTU

ObservatorySpectrum RepositoryIncumbents

http

[email protected]

CSI-2

LSA Auction Database

http

LSA Auction Platform

LSA Licensees

Control GUI

(ID, Demand_region, Demand_unit)

Apache-based Auction Server

Client-Server Protocol

Server Application Programming Interface

(SAPI)

SAPI

(ID, Supply_region, Supply_unit) SAPI

LSA Licensees

LSA Controllers



Progress Report: Main ProjectLTE服務透過授權來分享接取頻譜之促成技

術與運作模式研究 (1/3)Enabling Technologies and Operation Models for Licensed Shared Access by LTE Services

(1/3)



Projects and Experiment/ Demo. Platform: Setup Planned & Initiated

Subproject 2: Integrated Spectrum Sensing and Identification of White Space for Spectrum Sensing

Subproject 1: Operation Model Analysis and Mechanism Design for LSA

Spectrum Repository

Business Model (BM)

Resource Allocation

802.11 af;802.22;

802.15; LTE

Sensi

ngTX1 TX2

OSI Layer ArchitectureResearch

USRP

OA&M DBM

CSI-3

CSI-1

CSI-2

Application based SU spectrum sharing

Sensing

Sensing

Incumbent User

LTE

Cloud-based Inference

Subproject 3: Dynamic Spectrum Sensing-based Transmission and Access Technologies for LSA

Interference Risk Model; LSA platform

GFDM & CA for LSA

Inaccuracy resilient; Flexible & autonomous

spectrum sharing

Geo-location database

(Slovenia EU CREW Project)

CrowdSourcing

Observatory

…

Incumbent Provides

Owned by an operator

HTTPController

HTTP



• Room 550, EE-2 Bldg., NTU as common Lab space for the project

• Purchased 6 USRPs and Servers to setup experiment platform

Project Lab Setup



Adoption of LTE Small Cell + EPC in Experiment/Demo Platform in Year 2

Year 1 collaboration efforts on- API

- Design specifications for use of LTE small cells under LSA mode

- USRP developments

- Experiment scenario design and tests

3 Graduate students work 2 days/week at SNSI, III since 04/’15- Spectrum observatory scheme: 1 MS graduate student

- USRP/USRP-RIO SDR platform: 2 MS graduate students

Joint appointment of 1 faculty member(s) as research fellow: 1 day/week

Collaboration with SNSI, III



DSA-PG.TW Pilot Trials over 4x6 MHz in 6oo-698 MHz UHF bands

Assessments of LSA/High Priority Channels over UHF Bands

Collaboration via DSA-PG.TW


National Taiwan UniversityEfforts on International Collaboration

Goal: Research Exchange and Collaborations on Dynamic Spectrum Sharing (DSS)

• 5/11/’15 Center for Telecommunications Research King’s College, London, Great Britan

• Hosts: Dr. Oliver Holland, Prof. Hamid Aghvani, Dr. Adnan Aijaz

• NTU Visitors: Profs. I-Hsiang Wang, Hsuan-Jung Su, Shi-Chung Chang

• Special Topics: TVWS Backhaul, DSA Standards and 5G research

• 5/11/’15 Poznan Technical University, Poznan, Poland

• Hosts: Prof. Hanna Bogucka, Adrian Kliks, Paweł Kryszkiewicz, Krzysztof Cichoń

• NTU Visitors: Profs. Chun-Ting Chou and Phone Lin

• Special Topics: DSS for Next Generation Mobile Network

• 5/13/’15 CORE++ and 5GTN Research Teams, VTT, Oulu, Finland

• VTT/Radio Systems Dr. Marja Mattinmiko, Atso Hekkala, Miia Mustonen

Nokia Networks: Seppo Yrjölä, Kari Horneman

CWC, Oulu University: Harri Posti

Centria R&D (University): Marjo Heikkila

• NTU Visitors: Profs. Chun-Ting Chou, Phone Lin, I-Hsiang Wang, Hsuan-Jung Su, and Shi-Chung Chang

• Special Topics: CORE++ (LSA Trials) and 5G Test Networks

• 6/12/’15 Ericsson R&D, Kista, Sweden

• Hosts: Mikael Halen, Ralph Lofdahl, Magnus Frodigh, Anders Backerholm Mikael Prytz, Kenneth Wallstedt, Jane Svensson

• TW Visitors: Profs. Zsehong Tsai, Chun-Ting Chou, Phone Lin, Hung-Yu Wei, Shi-Chung Chang and Calvin Chang

• Special Topics: DSS User experiences, management and policy



Progress Report: Subproject 1 Operation Model Analysis and Mechanism

Design for Licensed Shared Access



Survey of LSA Business Model in US and EU [1]

Frequency Band

Incumbent TypeIncumbent Application

Characteristics

Regulatory Involvement

Potential LSA Licensee Benefits

US

EU

3.5 GHz

2.3 GHz

Defense(naval, ground radar)

Defense(unmanned aerial

vehicle)

Dynamic by Time and Geography

Dynamic by Time and Geography

High(Regulator-

imposed DB)

Low

Priority 1: Increase CapacityPriority 2: Increase Roaming

Priority 1: Increase RoamingPriority 2: Increase Capacity

Motivation of Key Sharing Parties [1]

• Regulator: Meet spectrum needs, healthier industry• Incumbent: Compensation for providing access • LSA licensee: Additional spectrum to meet future demands• End user: Improved experience at attractive price

Operation Modeling and Incentive Mechanism Design for LSA

[1] Deloitte, “The Impact of Licensed Shared Use of Spectrum,” Report for the GSM Association, 23 January 2014.



Economic Benefits of LSA

• Case 1: Compared with no LSA, 2 LSA bands (20 MHz of 380 MHz; 40 MHz of 2.3 GHz) save 1.5€bn to achieve same 100% service coverage [2]

• Case 2: Reduction of deployment cost while adopting LSA [3]

• Case 3: Comparison between ESA and LSA [1][4]

LSA achieves considerable economic benefits without needs of clearing and reallocation that costs high

Country \Spectrum Policy

Exclusive Spectrum Access (ESA) Licensed Shared Access (LSA)

US US $260 billion (€192 billion) US $210 billion (€155 billion)

EU €86 billion (US $116 billion) €70 billion (US $95 billion)

Market Type \ Demand (Mbps/km2) 50 100 150

Young Market (e.g., Chile) 12.5% 35% 40%

Mature Market (e.g., Netherland) 55% 60% 60%

[2] Authorised Shared Access - An evolutionary spectrum authorisation scheme for sustainable economic growth and consumer benefit, Presentation at the WG FM, May 2011.[3] Gerardo Daniel Aguirre Quiroz, Ashraf Awadelkarim Widaa Ahmed, and Jan Markendahl, “Can Licensed Shared Access bring benefits to Developing Countries? A comparison of the potential benefits of LSA in Europe and Latin America,” 7th Annual CMI Conference, Copenhagen, Denmark, November 2014.[4] Phillipa Marks, Tony Lavender, Paul Hansell, and Tim Miller, “Spectrum Sharing: Something Old, Something New,” Plum Insight White Paper, February 2015.



Implementation of LSA-based Auction System (Resource Allocation)

LSA Licensees

GLDB

NTU Observatory

Spectrum Repository

Incumbents

LSA Controllers

http

USRP

CSI-2

LSA Auction Database

Online LSA-based Auction System

http

LSA Auction Platform

LSA Licensees Control GUI

(ID, Demand_region, Demand_unit)

Apache-based Auction Server

Client-Server Protocol

Auction algorithm implemented by PHP

Server Application Programming Interface

(SAPI)

SAPI

(ID, Supply_region, Supply_unit)



User Interface (UI) of LSA-based Auction System

Main Page of Auction System

Auction Setting Page

LSA Licensee Bid Submission Page

Auction Result Page

Incumbent Inspection Page



Spectrum Coverage Repository Architecture Design

CoverageContourRepository

DetailedLSARepository

Regulator Manager

DetailedLSARepository Manager

ContourRepository Manager

Operator BController

Operator AController

Operator BControllerManager

Operator AControllerManager

IncumbentManager

Based on this Coverage Repository Architecture, an object model for the repository (database) is also completed.

Business model and Operation Design for the LSA Repository



Pixel based Vertex based Partition Algorithm Number of Stored Points 55 14.8 7.9Compare to Pixel based 100% 27% 14%

Compare to Vertex based 100% 53%

• The partition algorithm can partition arbitrary coverage polygons into minimum number of rectangles, and then store the upper left and lower right point of these rectangles.

• Compared with other methods using NTU Campus WiFi coverage, its storage complexity is only 53% of the Vertex-based approach, and 14% of the Pixel-based approach.

The Partition Algorithm for transforming coverage map into Minimum Number of Rectangles

Table A Comparison of the average storage statistics with three methods.

Pic 1 Pixel based : 40 points Pic 3 Algorithm : 12 pointsPic 2 Vertex based : 18 points


National Taiwan University The Coverage Database Demo System

(0,40)

(0,30)

Available functions include:- Adding contour - Check overlapped region- Deleting contour - Check partitioned region



1. Complete a security-enhanced spectrum repository demo system:

• Provide correct query results about radio coverage without revealing real locations of radio stations.

• Include an algorithm of transforming detailed coverage information into blurred information

2. Complete spectrum repository access protocol and control

• Complete a shared-spectrum repository access protocol and define data exchange format between Detailed LSA Repository (with real locations ) and Contour Coverage Repository (with blurred locations ).

• Develop rules for tracking access behavior and enforce access frequency control

Future Work



Evaluation of Co-RAN Technology for LSA Networks

Scenario• Pico cells : Ask network management for more spectrum• Controller: Check Spectrum repository & Allocate channels• Case:Coverage of licensed band requested is larger than pico

cell’s original transmission range• Goal

- To offload the traffic and guarantee QoS to the handover users

- To provide a fair resource allocation algorithm between cell-edge and cell-center users in pico cell eNodeB

New licensed band coverage

Licensed band coverage

Pico cell

Offload traffic to pico cell Handover a. Admission control

b. RB allocation




• Admission control (AC) for RAN sharing pico cells inLSA network• To Guarantee QoS

• Decided by available resource blocks ,both one’s own licensed band and shared band from repository

• Added QoS constraint to formulate the decision rule of AC

• Modified RSRP-based AC into QoS-based AC and is coding in Matlab

Request handover

AdmissionControl

Proposed MAC

scheduler

User 1

User 2

User k…

Admitted connections

RB allocation




Licensed band A

Requested licensed band B

New licensed band coverage B

Licensed band coverage A

… …Reserved part for UE outside the coverage

of licensed band A

RBs used by UE in coverage of licensed

band A

• MAC scheduler design• To provide proportional fairness between users while guaranteeing QoS• Designed based on the concept proportional fair scheduler

• Reserve spectrum resource to UE in the shared band coverage


National Taiwan University Task for Year 2

• Build a HetNet scenario in NS-3 to simulate: • Total throughput of the network

• Fairness between users

• Delay

• Compare the proposed method to the existing scheduling algorithm such as: • Round Robin Scheduler

• Proportional Fair Scheduler

• Maximum Throughput Scheduler

• The proposed scheduler would guarantee QoS to different type of services while maximizing the total throughput of the HetNet.



/ 6 26

System Model

PrimaryBase Station

Secondary Base Station

Secondary User

Primary User

Multi-Strategy Dynamic Spectrum Access in Cognitive Radio Networks



Subscriber Station (SS)

27 / 6

Non-Real Time Applications

Base Station (BS)

• Wireless Channel– Path Loss

– Shadowing Effect



3GPP Traffic Model of UTRAN

28/ 6

A Packet Call

A Session

Main Object Embedded Objects

Reading Time

t

rD

A Packet Call

Main Object Embedded Objects

[1] 3GPP TR 25.892. Feasibility Study for Orthogonal Frequency Division Multiplexing (OFDM) for UTRAN enhancement.

A Packet Call

A Session

Reading Time

t

A Packet Call A Packet Call

t0

Video Streaming Session

Buffer Window

Packet Coding Delay

BT

cD

T 1K T KT2T

rD

• HTTP

• FTP

• NRTV



/ 6 29

Electromagnetic Spectrum

GSM/HSPA 4G TV WLAN Military

???

Dynamic Spectrum Access User

Spectrum InefficiencySpectrum Efficiency



/ 6 30

Motivation

f

= Busy Channel

Traffic Data

E T

• 根據當時的頻譜狀態，建議用戶適合的應用類形。



/ 8 31

Start

,

Initial 0,

Se

0

t 0n i

i n

C

, , 1,

,0 ,

Set , 0

Tx i Tx i

Tx Tx ini

n

tal

iT T i

T T

1E

2ESensing the channel

Channel idle ?Yes

, , 1 1n i n iC C

, , 1 1n i n iC C

, n iSINR

, n iSINR

Data transmission

No

Yes

No Stop transmission

Waiting waitT

, >0 ? <0?n iC

> 0

< 0

Yes

, -1Ignore data in Tx iT

, mod 0n iC K

, mod 0n iC K

Yes

, 1, n i n i

No

Yes

1 x, ma max , in i K

1 n, mi max / , in i K

Adjustment Scheme

,

,

: Counter

: Transmission period

: Waiting peri

: Time slot index

: Packet call inde

d

x

o

n i

Tx i

wait

T

T

i

C

n

No

,

max

min

,

: Iteration limit

: Adjustment coefficent of Tx period

: Adjustment coefficent upper bound

: Adjustment coefficent lower bound

: Threshold value of SINR

n i

n i

K

No



Demo Tools

/ 6 32

Data Rate (byte/sec)

Service

Response

Time

(sec)

OK Cancel

Applciation：

Real Time：

Parameter：

• Matlab GUI



Future work

1. Consider the multiple secondary systems, multiple channel accessesfor cross layer resource allocation scheme.

2. Use the LTE transmissions (OFDMA and SC-FDMA) in downlinks anduplinks.



Progress Report: Subproject 2Integrated Spectrum Sensing and

Identification of White Space for Spectrum Sensing



Database with 24-7 update from our wideband spectrum observatory and narrow-band crowd-sourcing sensing (feature detection) devices

Seamless transmission among secondary devices (USRP-based programmable radio platform across multi-bands

Sense channel 10ms every 500ms Data transmission 490ms every 500ms

Update every 10 seconds

An End-to-End Spectrum-Sharing System

Sensing and Identification of White Space for Spectrum Sensing



N0

Yes

Start

Sense channel

&update the

channel status

(10ms)

PU present?

Request database for an available

channel

Switch channel

Data

transmission

period(490ms)

10ms0ms 500ms

PU : Primary user

Sense channel

data transmission

N0Yes

Start

Beacon from TX

Datareceiving

Send a request

to database for

finding TX

Transmitter Receiver

• SUs communicate with OA&M controller using URLs (http://140.112.175.176:6730/query_data.php)

• To report channel sensing results• Sensing is completed in 10 ms while each update is

completed in 45ms (e2e delay)

• To maintain seamless transmission with peer secondary devices

• A round-trip request-and-response delay is 85ms.

• Why URL?

• Secondary users can adopt any radio/hardware/software platforms

• End-to-end Reliability and security

Platform-Independent Operation

http://140.112.175.176:6730/query_data.php



Spectrum Observatory

Spectrum sensing range 300MHz to 3GHz

Gain of antenna 20 dB

Resolution 10kHz

Period of one scanning cycle 3 minutesOver-the-air Feature Detection

Range of scanning frequency500MHz to 700MHz

2300 MHz to 2400MHzdetection time 10 ms

Data TransmissionTransmission Bandwidth 1 MHz

Sample rate 640 spsData rate Up to 2 Mbps (PHY)

Specification of the System



• Sensing results contains errors due to noise, multipath channel fading, shadowing effect, etc.

• Current Working Items

• Apply cooperative spectrum sensing (CSS) to improve detecting accuracy by “fusing” the results from multiple sensing devices• Two types of cooperative spectrum sensing : Centralized and

Distributed

• Potential fusion rules : AND, OR, Majority, or NeymanPearson

• Reconstruct the geographic spectrum map to enhance the spatial resolution

Work in Progress (for Database)

Centralized CSS

Distributed CSS



Progress Report: Subproject 3 Dynamic Spectrum Sensing-based

Transmission and Access Technologies for Licensed Shared Access



Sensing-Delay Resilient Spectrum Sharing – Motivation

• Spectrum sharing among secondary users with different priorities

• Learning the absence of high-priority users enables low-priority users to access the underutilized spectrum

• Two approaches to learn it: (1) Database; (2) Sensing• Database: suitable for stable/regular users• Sensing: suitable for dynamical users

• Our focus: users with dynamical spectral activities

• Key challenge: can’t learn about the behavior of primary users in time• Prediction is hard based on static database• Sensing may not be fast enough and there will be certain delay

• How to fundamentally resolve this issue?

Sensing Delay and Inaccuracy Resilient Spectrum Sharing



Sensing-Delay Resilient Spectrum Sharing – Information Theoretic Model

Channel Model

PU Activity

High-Priority User (PU)

Low-Priority User (SU)

(a worst-case assumption)

• Dynamical PU activity: difficult to predict

• What is the optimal trade-off between PU and SU data rates?

• What is the highest SU rate if PU wants to remain unaware of SU?



Sensing-Delay Resilient Spectrum Sharing – Information Theoretical Results

Approximate Capacity Region Degrees of Freedom Characterization

Even when SU Txcannot predict PU’s activity, it can still achieve (1-p) DoF, as if it knows PU activity perfectly



Sensing-Delay Resilient Spectrum Sharing – Proposed Scheme

PU

SU

Sense

New Data

PU New Data PU New Data

Sense

Retransmitted Data

Sense

New Data Retransmitted Data

Sense

PU operate dynamically, SU would sense the presence of PU.

Time

In reality, however, PU would continuously transmits a period of time N. How is the performance under non-i.i.d case?



Sensing-Delay Resilient Spectrum Sharing – Performance Analysis

• How to evaluate the theoretic result under non-i.i.d case?• Power spectrum density of colored noise can illustrate the idea.• Implement water-filling algorithm

• Theoretic result:• Channel capacity• Under finite block N

• Channel dispersion• Optimal rate

f

-1/2 1/2

1

Under this scheme, we can guarantee that:

1. With a slight delay, there is no need to alter the PU transmission coding scheme, only deal with interference in PU receiver. The result coincides with point-to-point capacity!

2. Performance of SU is maintained just like i.i.d case. Even better!



Sensing-Delay Resilient Spectrum Sharing – Year 2 Tasks and Deliverables

• Tasks:• Carry out and finish the information theoretic study of sensing-delay resilient

spectrum sharing.

• Develop an sensing-based architecture for secondary users with different priorities to share the spectrum based on the scheme we proposed.

• Integrate sensing among secondary users into LSA.

• Deliverables:• Fundamental characterization of the performance in a sensing-delay resilient

spectrum sharing system.

• Simulation of the proposed sensing-based spectrum sharing architecture among secondary users within the LSA framework.



Design of Cognitive Carrier Aggregation using SSK-GFDM

Transmission Technology of Generalized Frequency Division Multiplexing (GFDM) and Carrier Aggregation for LSA



BER comparison between SSK -GFDM and V-BLAST GFDM

• BER performance has been compared between SSK-GFDM and V-BLAST-GFDM.

• It is found that under low SNR conditions, BER-performance for V-BLAST GFDM is worse than SSK-GFDM.

• The adjacent figure shows the BER performance for spatial modulation (SM) GFDM vs V-BLAST GFDM.

• Higher order modulation schemes like 32-QAM, 64-QAM results in poor BER performance for V-BLAST-GFDM as compared to SM-GFDM.

• SM-GFDM provides extra flexibility of choosing both transmit antenna and transmit symbol (log2(NT)+log2(C)).



Signal Flow Diagram inside USRP



Future Work

ImplementDistributedSpatial-Modulation/SSK-GFDM system ina massive VirtualAntenna Array(VAA) setup.

Apply PhysicalLayer NetworkCoding (PLNC)concept to cancelinterference fromPU transmitter.



• Compared to the conventional radio resource division schemes (FDM, TDM, CDM), wavelet packet division provides more flexibility in dividing the time-frequency resource and avoiding harmful interference patterns.

New Basis for Radio Resource Division - Wavelet Packet Division

.



Iterative Waveform Design on Top of the Best BasisSignal received by user k:

𝒓𝑘 t = 𝑖=1𝐾 𝑝𝑖𝑏𝑖𝒔𝑖 𝑡 + 𝒏(𝑡)

MSE = 𝑖=1𝐾 𝐸 𝒓𝒊

𝑇𝒔𝒊 − 𝑏𝑖 = 𝑝 𝑖=1𝐾 𝑗=1

𝐾 𝒔𝑖𝑇𝒔𝑗

2+ 1 − 2 𝑝 + 𝜊2 𝐾 , 𝑇𝑆𝐶 = 𝑖=1

𝐾 𝑗=1𝐾 𝒔𝑖

𝑇𝒔𝑗2

Iteratively update signature vector 𝒔𝑘 by 𝒄k 𝒄k =𝒁𝑘−1𝒔𝑘

𝒔𝑘𝑇𝒁𝑘

−2𝒔𝑘

12

, 𝒁k = 𝑗≠𝑘 𝒔𝑗𝒔𝑗𝑇 + 𝜎2𝐼𝑁

The MMSE problem reduces to finding the minimum Total Square Correlation.

Legacy Users 2, CR Users 6 Legacy Users 2, CR Users 7



CR System

Legacy Users data

Sensor (WP Basis)

Algorithm For Tiling Method

MMSE Update Algorithm

CRUsers data


National Taiwan UniversityPerformance with OFDM Legacy Users as Interference



Future Work

• Implementation on the USRP platform

• Consider co-existing with legacy users, instead of

avoiding them – non-orthogonal waveform design

Legacy user

CR user CR user

BS

Legacy Transmission

CR Transmission

Legacy Interference(cancelled by DPC/SIC)

CR Interference

Relay Signal(CR will help relay legacy signal if legacy QoS is low)

Legacy Interference(cancelled by DPC/SIC)



Backup



Design of multi-tier LSA models and repository architecture

3GPP LTE standard on RAN Sharing Multi-strategy DSA in CR networks

Perform feature data analysis and feature extraction from diverse kinds of heterogeneous environmental information from the labeled data

Spectrum Available Map

New architecture of sensing-based spectrum sharing that is resilient to delay and inaccuracy

Implement a low complexity flexible multicarrier waveform

Practical and flexible radio resource division scheme

Spectrum Available Map

Command & Access

Year 1

Perform feature data analysis and feature extraction from diverse kinds of heterogeneous environmental information from the labeled data

Construct an AQI-correlated graph (ACG) to represent the spatial-temporal correlation between locations that are with and without AQI labels

Implement the proposed sensing scheme and crowd-sourcing augmented spectrum map and integrate them into USRP platform

[email protected]~2.4GHz Spectrum observatory Control server & interface (signaling,

data path)

[email protected]~2.4GHz Spectrum observatory Control server & interface

(signaling, data path) LTE small cell + Embedded

EPC switch platform

[email protected]~2.4GHz Spectrum observatory Control server & interface (signaling,

data path) LTE small cell + Embedded EPC switch

platform Crowd-sourcing augmented database

New architecture of sensing-based spectrum sharing that is resilient to delay and inaccuracy

Implement a low complexity flexible multicarrier waveform

Practical and flexible radio resource division scheme

Enhanced sensing-delay resilient system with practical baseband signal processing issues

Implement spectrum sharing strategy in Matlab and demonstrate using USRP

Non-orthogonal interference mitigation based on auto. sharing with flexible division

Over-the-air demo. of the sensing-delay resilient system

Implement cancellation carrier scheme using USRPs under indoor propagation environment

Hybrid non-orthogonal interference mitigation scheme

Year 2

Year 3

Subproject 1: Operation Model Analysis and Mechanism Design for Licensed Shared Access

Subproject 2: Integrated Spectrum Sensing and Identification of White Space for Spectrum Sensing

Subproject 3: Dynamic Spectrum Sensing-based Transmission and Access Technologies for Licensed Shared Access

Main Project Demo. Platform

Implementation of transmission and access technologies on USRP as a coexisting secondary network

Refined spectrum availability map

Refined spectrum availability map

Tasks and Deliverables



H2020 2016-1017

• Targeted Opening Joint Call for Proposal• 5M Euros from EU and 5M Euros from Taiwan• No EU budget goes to Taiwan participants (third country as USA, Canada, etc.)

• Future Internet • Networks, where the 5G PPP industry roadmap is complemented by disruptive

research and support to innovation infrastructures• Software Technologies, responding to the need of more flexible, reliable, secure and

efficient software for complex, mission critical and highly connected systems• Experimentation in large-scale or real-life environments, infrastructures for

validating Future Internet technologies, products and services and their application to related areas

• Innovation, supporting the emergence and nurturing of innovation ecosystems, supporting Web entrepreneurship, bottom-up innovation and social collaboration



Joint Taiwan/EU Team

• ICT3.1 – 2016: 5G PPP Research and validation of critical technologies and systems

• ICT3.2 – 2016: 5G PPP Convergent Technologies • Challenges: tackles scalability and usability of mixed network technological approaches that

can benefit from previous research, towards validation of deployment at scale • a:Innovation actions

• b: Cooperation in access convergence • This activity takes advantage of the supporting 5G research and demonstration facilities

offered by Taiwan towards collaborative 5G research with the EU, and aims at developing and demonstrating an integrated convergent access across different air interface technologiesand the fronthaul/backhaul/core network. Test beds making use of the facilities offered by Taiwanese partners are targeted. It demonstrates the capabilities of new spectrum access schemes, including for co-working with the network. A system demonstrator showing applications potential is thus favoured, e.g. for high speed moving vehicles.



Convergence of Heterogeneous Networks

• TVWS (802.11af), LSA (2.3 to 2.4 GHZ), WiFi along with emerging 5G radios

• Joint team with NTU, III (Institute of Information Industry), Mediatek, Poznan University of Technology, King’s Colleges, etc.

• Important Deadlines• CFP: starting in Dec. 2015 till Apr. 2015



Reference

[1] Deloitte, “The Impact of Licensed Shared Use of Spectrum,” Report for the GSM Association, 23 January 2014.

[2] Authorised Shared Access - An evolutionary spectrum authorisation scheme for sustainable economic growth and consumer benefit, Presentation at the WG FM, May 2011.

[3] Gerardo Daniel Aguirre Quiroz, Ashraf Awadelkarim Widaa Ahmed, and Jan Markendahl, “Can Licensed Shared Access bring benefits to Developing Countries? A comparison of the potential benefits of LSA in Europe and Latin America,” 7th Annual CMI Conference, Copenhagen, Denmark, November 2014.

[4] Phillipa Marks, Tony Lavender, Paul Hansell, and Tim Miller, “Spectrum Sharing: Something Old, Something New,” Plum Insight White Paper, February 2015.

Communication Research Center National Communication...

Documents

Transcript of Communication Research Center National Communication...