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Mobile Communications

Lecture 1 (Overview)

Dong In Kim

School of Info/Comm Engineering

Sungkyunkwan University

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Outline

Course Basics

Course Syllabus

The Wireless Vision

Technical Challenges

Current Wireless Systems

Emerging Wireless Systems

Spectrum Regulation

Standards

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Course Information

Dong In Kim

dikim@skku.ac.kr

299-4585

office hours: Wed/Fri (4–5pm) in 23528

by appointment

TA Jong Ho Moon (299-4663 or menia1492@naver.com)

hand in all assignments to room 23517 (or in class)

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Textbook, Website & Courselist

Textbooks A. Goldsmith, Wireless Communications

D. Tse, Fundamentals of Wireless Communication

Course webpage: http://wireless.skku.edu

Lecture notes (password protected): User name: ece

Password: cellular

Assignments

Handouts (project, old exams, etc.)

Courselist: To be announced

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Grading This course will be graded on a curve.

Grade breakup: Assignments: 20%

Project: 30%

Final: 50%

Final exam: December 5, Tuesday, in class

Submit homework to Wireless Comm. Lab (23517) by 5pm on the due date

Late submission of homework: 25% penalty per calendar day.

No makeup midterm exam: If you miss the midterm due to a documented health problem or family

catastrophe, your final exam score will have its weighting increased proportionally.

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Plagiarism

Please review the SFU plagiarism page: http://www.lib.sfu.ca/researchhelp/writing/plagiarism.htm

An assignment containing copied material

from others will receive 0 (for both students)

Second-time offender will get an F.

Cheating on an exam will receive an F.

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MATLAB Simulink

Homework includes some MATLAB programming and Simulink assignments.

Simulink:

A block diagram-based MATLAB extension that allows engineers to rapidly and accurately build computer models of dynamic systems.

Simulink is a programming language itself.

The simulink diagrams can be converted to C codes, which can be compiled for different target platforms.

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An Example of Simulink

Block diagram Scope output Spectrum analyzer output

Type “simulink” from MATLAB command line to launch the simulink window.

A short tutorial will be distributed with the first Simulink assignment.

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Mathematical Tools For Comm Calculus, linear algebra

Signals & Systems (ENSC380) Fourier Transform (1822)

Probability (STAT270)

Stochastic Processes (STAT380) Will be covered in this course (2-3 weeks)

Digital Signal Processing (ENSC429)

Statistical Signal Processing (ENSC802) Usually taught at graduate level

Based on Probability and Stochastic Processes

Pioneered by Norbert Wiener in 1940’s Wiener: Went to college at age of 11, Got PhD from Harvard at 18

Information Theory and Coding Usually taught at graduate level

Also based on Probability and Stochastic Processes

Established by Claude Shannon in 1948

These tools are also useful in many other areas

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Course Syllabus

Overview of Wireless Communications (Gold: Ch.1)

Path Loss, Shadowing, and Fading Models (Gold: Ch. 2,3)

Capacity of Wireless Channels (Gold: Ch. 4 and Tse: Ch. 5)

Digital Modulation and its Performance (Gold: Ch. 5,6)

Adaptive Modulation (Gold: Ch. 9)

Diversity (Tse: Ch. 3 and Gold: Ch. 7)

MIMO Systems (Tse: Ch. 3 and Gold: Ch. 10)

Multicarrier Modulation (Gold: Ch. 12)

Spread Spectrum (Gold: Ch. 13)

Multiuser Communications & Cellular Systems

(Tse: Ch. 4,6 and Gold: Ch. 14,15)

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Wireless History

Radio invented in the 1880s by Marconi

Many sophisticated military radio systems were developed during and after WW2

Cellular has enjoyed exponential growth since 1988, with almost 3 billion users worldwide today Ignited the wireless revolution

Voice, data, and multimedia becoming ubiquitous

Use in third world countries growing rapidly

Wifi also enjoying tremendous success and growth Wide area networks (e.g., Wimax) and short-range systems other than

Bluetooth (e.g., UWB) less successful

Ancient Systems: Smoke Signals, Carrier Pigeons, …

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Future Wireless Networks

Wireless Internet access

Nth generation Cellular

Wireless Ad Hoc Networks

Wireless Sensor Networks

Wireless Entertainment

Smart Homes/Factories/Farms

Automated Highways

All this and more…

Ubiquitous Communication Among People and Devices

•Hard Delay Constraints

•Hard Energy Constraints

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Design Challenges

Wireless channels are a difficult and capacity-limited broadcast communications medium

Traffic patterns, user locations, and network conditions are constantly changing

Applications are heterogeneous with hard constraints that must be met by the network

Energy and delay constraints change design principles across all layers of the protocol stack

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Evolution of Current Systems

Wireless systems today 3G Cellular: ~200-300 Kbps. WLANs: ~450 Mbps (and growing).

Next Generation is in the works 5G Cellular: beyond OFDM/MIMO (long-term evolution) 5G WLANs: Wide open, 4G just being finalized

Technology Enhancements Hardware: Longer batteries. Lower-power circuits/processors. Link: Antennas, modulation, coding, adaptation, DSP, BW. Network: Cloud/Fog, more efficient algorithms and ACKs Application: Soft and adaptive QoS.

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Future Generations

Rate

Mobility

2G

3/4G

5G

802.11b WLAN

2G Cellular

Other Tradeoffs:

Rate vs. Coverage

Rate vs. Delay

Rate vs. Cost

Rate vs. Energy

Fundamental Design Breakthroughs Needed

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Multimedia Requirements

Voice Video Data

Delay

Packet Loss

BER

Data Rate

Traffic

<100ms - <100ms

<1% 0 <1%

10-3 10-6 10-6

8-32 Kbps 1-100 Mbps 1-20 Mbps

Continuous Bursty Continuous

One-size-fits-all protocols and design do not work well

Wired networks use this approach, with poor results

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Quality-of-Service (QoS)

QoS refers to the requirements associated with a given application, typically rate and delay requirements.

It is hard to make a one-size-fits-all network that supports requirements of different applications.

Wired networks often use this approach with poor results, and they have much higher data rates and better reliability than wireless.

QoS for all applications requires a cross-layer design approach.

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Cross-layer Design

Application

Network

Access

Link

Hardware

Adapt across design layers

Reduce uncertainty through scheduling

Provide robustness via diversity

Delay Constraints

Rate Constraints

Energy Constraints

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Cross-layer Techniques Adaptive techniques

Link, MAC, network, and application adaptation

Resource management and allocation (power control)

Diversity techniques Link diversity (antennas, channels, etc.)

Access diversity (unicast or multicast?)

Route diversity (e.g., caching)

Application diversity

Content location/server diversity (cloud or fog?)

Scheduling Application scheduling/data prioritization

Resource reservation

Access scheduling

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Current Wireless Systems

Cellular Systems

Wireless LANs

Drone-based Mobile Relays (increased range)

Satellite Systems

Bluetooth (BLE)

Ultrawideband radios

Zigbee radios

Backscatter radios (e.g., RFID)

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Cellular Systems:

Reuse channels to maximize capacity

Geographic region divided into cells Frequency/timeslots/codes/ reused at spatially-separated locations.

Co-channel interference between same color cells.

Base stations/MTSOs coordinate handoff and control functions

Shrinking cell size increases capacity, as well as networking burden

BASE

STATION

MTSO

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Cellular Phone Networks

BS BS

MTSO PSTN

MTSO

BS

Seoul

Daejeon Internet

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3/4G Cellular Design:

Voice and Data

Data is bursty, whereas voice is continuous Typically require different access and routing strategies

3/4G “widens the data pipe”: 384 Kbps (802.11n has 100s of Mbps). Standard based on wideband CDMA/OFDM/MIMO Packet-based switching for both voice and data

3/4G cellular popular in Asia and Europe

Evolution of existing systems in US (2.5G++) GSM+EDGE, IS-95(CDMA)+HDR 100 Kbps may be enough Dual phone (2/3G+Wifi) use growing (iPhone, Google)

What is beyond 4G? The trillion dollar question

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Wireless Local Area Networks

(WLANs)

WLANs connect “local” computers (100m range)

Breaks data into packets

Channel access is shared (random access)

Backbone Internet provides best-effort service

Poor performance in some apps (e.g., video)

01011011

Internet

Access

Point

0101 1011

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Wireless LAN Standards

802.11b (Old – 1990s) Standard for 2.4GHz ISM band (80 MHz) Direct sequence spread spectrum (DSSS) Speeds of 11 Mbps, approx. 500 ft range

802.11a/g (Middle Age– mid-late 1990s) Standard for 5GHz NII band (300 MHz) OFDM in 20 MHz with adaptive rate/codes Speeds of 54 Mbps, approx. 100-200 ft range

802.11n (Hot stuff, standard close to finalization) Standard in 2.4 GHz and 5 GHz band Adaptive OFDM /MIMO in 20/40 MHz (2-4 antennas) Speeds up to 600Mbps, approx. 200 ft range Other advances in packetization, antenna use, etc.

Many WLAN

cards have

all 3 (a/b/g)

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Drone Relays for Battery-Free Networks

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Satellite Systems

Cover very large areas

Different orbit heights GEOs (39000 Km) versus LEOs (2000 Km)

Optimized for one-way transmission Radio (XM, Sirius) and movie (SatTV, DVB/S) broadcasts

Most two-way systems struggling or bankrupt

Global Positioning System (GPS) use growing

Satellite signals used to pinpoint location

Popular in cell phones, PDAs, and navigation devices

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Bluetooth

Cable replacement RF technology (low cost)

Short range (10m, extendable to 100m)

2.4 GHz band (crowded)

1 Data (700 Kbps) and 3 voice channels

Widely supported by telecommunications, PC, and

consumer electronics companies

Few applications beyond cable replacement

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Ultrawideband Radio (UWB)

UWB is an impulse radio: sends pulses of tens of

picoseconds(10-12) to nanoseconds (10-9)

Duty cycle of only a fraction of a percent A carrier is not necessarily needed

Uses a lot of bandwidth (GHz)

Low probability of detection

Excellent ranging capability

Multipath highly resolvable: good and bad Can use OFDM to get around multipath problem.

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Why is UWB Interesting?

Unique Location and Positioning properties 1 cm accuracy possible

Low Power CMOS transmitters 100 times lower than Bluetooth for same range/data rate

Very high data rates possible 500 Mbps at ~10 feet under current regulations

7.5 GHz of “free spectrum” in the U.S. FCC recently legalized UWB for commercial use Spectrum allocation overlays existing users, but its allowed

power level is very low to minimize interference

“Moore’s Law Radio” Data rate scales with the shorter pulse widths made possible

with ever faster CMOS circuits

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IEEE 802.15.4 / ZigBee Radios

Low-Rate WPAN

Data rates of 20, 40, 250 kbps

Star clusters or peer-to-peer operation

Support for low latency devices

CSMA-CA channel access

Very low power consumption

Frequency of operation in ISM bands

Focus is primarily on radio and access techniques

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Tradeoffs

ZigBee

Bluetooth

802.11b

802.11g/a

3G

UWB

Range

Rate

Power

802.11n

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Spectrum Regulation

Spectral Allocation in US controlled by FCC

(commercial) or OSM (defense)

FCC auctions spectral blocks for set applications.

Some spectrum set aside for universal use

Worldwide spectrum controlled by ITU-R

Regulation is a necessary evil.

Innovations in regulation being considered worldwide,

including underlays, overlays, and cognitive radios

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US Spectrum allocation today

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Coexistence Challenge: Many devices use the same radio band

Technical Solutions:

Interference Cancellation

Smart/Cognitive Radios

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Next-Generation Devices Everything Wireless in One Device

Multiradio Integration Challenges

RF Interference

Where to put antennas

Size

Power Consumption

Cellular

Apps Processor

BT

Media Processor

GPS

WLAN

Wimax

DVB-H

FM/XM

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Standards

Interacting systems require standardization

Companies want their systems adopted as standard

Alternatively try for de-facto standards

Standards determined by TIA/CTIA in US

IEEE standards often adopted

Process fraught with inefficiencies and conflicts

Worldwide standards determined by ITU-T In Europe, ETSI is equivalent of IEEE

Standards for current systems are summarized in Appendix D.

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Emerging Systems

Ad hoc/mesh wireless networks

Wireless sensor networks (batteryless)

Distributed control networks

Backscatter networks (low power)

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Ad-Hoc/Mesh Networks

ce

Outdoor (municipal) Mesh

Indoor Mesh

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Design Issues

Ad-hoc networks provide a flexible network infrastructure for many emerging applications.

The capacity of such networks is generally unknown.

Transmission, access, and routing strategies for ad-hoc networks are generally ad-hoc.

Cross-layer design critical and very challenging.

Energy constraints impose interesting design tradeoffs for communication and networking.

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Wireless Sensor Networks Data Collection and Distributed Control

•Hard Energy Constraints

•Hard Delay Constraints

•Hard Rate Requirements

Nodes can cooperate in transmission, reception, compression, and signal processing.

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Energy-Constrained Nodes

Each node can only send a finite number of bits.

Transmit energy minimized by maximizing bit time

Circuit energy consumption increases with bit time

Introduces a delay versus energy tradeoff for each bit

Short-range networks must consider transmit, circuit, and processing energy.

Sophisticated techniques not necessarily energy-efficient.

Sleep modes save energy but complicate networking.

Changes everything about the network design:

Bit allocation must be optimized across all protocols.

Delay vs. throughput vs. node/network lifetime tradeoffs.

Optimization of node cooperation.

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Distributed Control over

Wireless Links

Packet loss and/or delays impacts controller performance.

Controller design should be robust to network faults.

Joint application and communication network design.

Automated Vehicles

- Cars

- UAVs

- Insect flyers

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Main Points

The wireless vision encompasses many exciting systems and applications

Technical challenges transcend across all layers of the system design.

Cross-layer design emerging as a key theme in wireless.

Existing and emerging systems provide excellent quality

for certain applications but poor interoperability.

Standards and spectral allocation heavily impact the evolution of wireless technology