MSIT 413: Wireless Technologies Week 2

Similar documents
EKT 450 Mobile Communication System

LECTURE 12. Deployment and Traffic Engineering

03_57_104_final.fm Page 97 Tuesday, December 4, :17 PM. Problems Problems

The Cellular Concept. History of Communication. Frequency Planning. Coverage & Capacity

Unit-1 The Cellular Concept

Chapter 3: Cellular concept

A Glimps at Cellular Mobile Radio Communications. Dr. Erhan A. İnce

MSIT 413: Wireless Technologies Week 1

Direct Link Communication II: Wireless Media. Current Trend

Introduction to Wireless and Mobile Networking. Hung-Yu Wei g National Taiwan University

Chapter 3 Ahmad Bilal ahmadbilal.webs.com

Ammar Abu-Hudrouss Islamic University Gaza

ETI2511-WIRELESS COMMUNICATION II HANDOUT I 1.0 PRINCIPLES OF CELLULAR COMMUNICATION

Wireless WANS and MANS. Chapter 3

EE 577: Wireless and Personal Communications

UNIT- 3. Introduction. The cellular advantage. Cellular hierarchy

Wireless Cellular Networks. Base Station - Mobile Network

ECE 476/ECE 501C/CS Wireless Communication Systems Winter Lecture 3: Cellular Fundamentals

Chapter 1 Introduction to Mobile Computing (16 M)

Direct Link Communication II: Wireless Media. Motivation

MOBILE COMMUNICATIONS (650520) Part 3

Mobile & Wireless Networking. Lecture 4: Cellular Concepts & Dealing with Mobility. [Reader, Part 3 & 4]

UNIK4230: Mobile Communications Spring Per Hjalmar Lehne Tel:

MSIT 413: Wireless Technologies Week 1

Data and Computer Communications. Tenth Edition by William Stallings

Cellular Wireless Networks. Chapter 10

GTBIT ECE Department Wireless Communication

Unit 4 - Cellular System Design, Capacity, Handoff, and Outage

SEN366 (SEN374) (Introduction to) Computer Networks

SLIDE #2.1. MOBILE COMPUTING NIT Agartala, Dept of CSE Jan-May,2012. ALAK ROY. Assistant Professor Dept. of CSE NIT Agartala

GSM FREQUENCY PLANNING

Unit 3 - Wireless Propagation and Cellular Concepts

1. Classify the mobile radio transmission systems. Simplex & Duplex. 2. State example for a half duplex system. Push to talk and release to listen.

Unit 2: Mobile Communication Systems Lecture 8, 9: Performance Improvement Techniques in Cellular Systems. Today s Lecture: Outline

SNS COLLEGE OF ENGINEERING COIMBATORE DEPARTMENT OF INFORMATION TECHNOLOGY QUESTION BANK

Chapter 1 INTRODUCTION

Figure 1.1:- Representation of a transmitter s Cell

UNIK4230: Mobile Communications. Abul Kaosher

Direct Link Communication II: Wireless Media. Current Trend

UNIK4230: Mobile Communications Spring 2013

MAHARASHTRA STATE BOARD OF TECHNICAL EDUCATION (Autonomous) (ISO/IEC Certified)

MSIT 413: Wireless Technologies Week 10

CMC VIDYA SAGAR P. UNIT IV FREQUENCY MANAGEMENT AND CHANNEL ASSIGNMENT Numbering and grouping, Setup access and paging

Chapter 14. Cellular Wireless Networks

Chapter 5 Acknowledgment:

Chapter 8 Traffic Channel Allocation

Page 1. Problems with 1G Systems. Wireless Wide Area Networks (WWANs) EEC173B/ECS152C, Spring Cellular Wireless Network

CHAPTER4 CELLULAR WIRELESS NETWORKS

Wireless Communications. Introduction

Chapter 1 Introduction to Mobile Computing

Communication Switching Techniques

Ch3. The Cellular Concept Systems Design Fundamentals. From Rappaport s book

EECS 380: Wireless Technologies Week 7-8

Mobile Radio Systems (Wireless Communications)

Cellular Concept. Cell structure

Wireless LAN Applications LAN Extension Cross building interconnection Nomadic access Ad hoc networks Single Cell Wireless LAN

S Radio Network planning. Tentative schedule & contents

Mobile Communication and Mobile Computing

Wireless and Mobile Network Architecture. Outline. Introduction. Cont. Chapter 1: Introduction

Data and Computer Communications. Chapter 10 Cellular Wireless Networks

Prof. Zygmunt J. Haas 1

Wireless and Mobile Network Architecture

Data and Computer Communications

Affordable Backhaul for Rural Broadband: Opportunities in TV White Space in India

College of Engineering

License Exempt Spectrum and Advanced Technologies. Marianna Goldhammer Director Strategic Technologies

ECS 445: Mobile Communications The Cellular Concept

Radio Network Planning for Outdoor WLAN-Systems

The Cellular Concept

CPET 565/499 Mobile Computing Systems. Mobile Wireless Networking Infrastructure & Technologies

MSIT 413: Wireless Technologies Week 3

EEG473 Mobile Communications Module 2 : Week # (6) The Cellular Concept System Design Fundamentals

Level 6 Graduate Diploma in Engineering Wireless and mobile communications

Wireless Network Pricing Chapter 2: Wireless Communications Basics

Downlink Erlang Capacity of Cellular OFDMA

Cellular systems 02/10/06

5G deployment below 6 GHz

Page 1. Outline : Wireless Networks Lecture 6: Final Physical Layer. Direct Sequence Spread Spectrum (DSSS) Spread Spectrum

Chapter 1 INTRODUCTION

CELLULAR COMMUNICATION AND ANTENNAS. Doç. Dr. Mehmet ÇİYDEM

Wireless & Cellular Communications

Reti di Telecomunicazione. Channels and Multiplexing

Mobile Communication Systems. Part 7- Multiplexing

Cellular Wireless Networks and GSM Architecture. S.M. Riazul Islam, PhD

MSIT 413: Wireless Technologies Week 6

WiMAX/ Wireless WAN Case Study: WiMAX/ W.wan.6. IEEE 802 suite. IEEE802 suite. IEEE 802 suite WiMAX/802.16

ECE6604 PERSONAL & MOBILE COMMUNICATIONS

6 Uplink is from the mobile to the base station.

Introduction to Wireless Communications

EENG473 Mobile Communications Module 2 : Week # (4) The Cellular Concept System Design Fundamentals

Module 4: Wireless Metropolitan and Wide Area Networks

ECE 5325/6325: Wireless Communication Systems Lecture Notes, Fall Increasing Capacity and Coverage. Lecture 4

Cellular Network. Ir. Muhamad Asvial, MSc., PhD

Long Term Evolution (LTE)

Cellular Radio Systems Department of Electronics and IT Media Engineering

Cellular Expert Professional module features

APPLICATIONS OF TELECOM WIRELESS COMMUNICATION : Lecture 3 Ahmad Bilal Ahmadbilal.webs.com

Difference Between. 1. Old connection is broken before a new connection is activated.

Performance Evaluation of 3G CDMA Networks with Antenna Arrays

Wireless WAN Case Study: WiMAX/ W.wan.6

Transcription:

MSIT 413: Wireless Technologies Week 2 Michael L. Honig Department of EECS Northwestern University September 2017 1

Wireless Standards: Our Focus Cellular LAN MAN PAN Sensor/IoT GSM CDMA2000 WCDMA UMTS 1xEVDO 1xEVDV 1G/2G/3G LTE (4G) 3GPP/3GPP2 5G WiFi 802.11a/ac/b/g/n 802.16 WiMax Bluetooth ZigBee Z-Wave NFC Sigfox Neul LoRaWAN 2

Classification of Wireless Systems Cellular Wireless Local Area Networks (WLANs) Wireless Metropolitan Area Networks (WMANs) Wireless Personal Area Networks (WPANs) Sensor Networks 3

Comparison of Wireless Systems 4

Wireless Local Area Networks (WLANs) Very high data rates (up to 600 Mbps/user!) Low mobility within confined region (building or campus) Unlicensed bands Industrial, Scientific, Medical (ISM): 2.4 GHz National Information Infrastructure (UNII): 5 GHz Must accept interference, therefore uses spread spectrum signaling, or random access with collision avoidance. Family of standards (IEEE 802.11) 5

Overview of 802.11 Standard IEEE 802.11 2.4 GHz 850 to 950 nm FHSS DS-SS Diffuse IR 2 Mbps 4GFSK 1 Mbps 2GFSK 2 Mbps DQPSK 1 Mbps DBPSK IEEE 802.11b Extension 5.5 Mbps DQPSK-CCK 11 Mbps DQPSK-CCK 6

Overview of 802.11 Standard IEEE 802.11 discontinued 2.4 GHz 850 to 950 nm FHSS DS-SS Diffuse IR 2 Mbps 4GFSK 1 Mbps 2GFSK 2 Mbps DQPSK 1 Mbps DBPSK IEEE 802.11b Extension discontinued 5.5 Mbps DQPSK-CCK 11 Mbps DQPSK-CCK 7

WLAN Family of Standards: 802.11 802.11: 2 Mbps (with fallback to 1 Mbps), 1997 & 1999 802.11b: provides additional 5.5 and 11 Mbps rates in the 2.4 GHz band 802.11a: provides up to 54 Mbps in the 5 GHz band 802.11g: Supports roaming, higher rate, backward compatible with 802.11b 802.11n: High throughput amendment using multiple antennas (Multi-Input Multi-Output (MIMO)) 802.11ac: High throughput in 5 GHz band (> 1 Gbps) using wider bandwidth, multi-user MIMO 8

Additional 802.11 Standards 802.11ad (WiGig): up to 7 Gbps in 60 GHz band (2016) 802.11ax: enhancement of 11ac, introduces OFDMA, scheduling 802.11e: QoS & Security Enhancements 802.11f: Inter Access Point Protocol (IAPP) 802.11h: Power Management for 5 GHz in Europe 802.11i: Security enhancements 802.11j: Enhancements to 802.11a for operation in Japan 802.11k: Radio resource management 802.11m: Technical corrections and clarifications 802.11u: Interfacing with external networks 802.11v: Upper layer interface for managing 802.11 equipment 9

802.11a/b/g/n Comparison Comparison table 10

Integrated WLAN-Cellular Network Internet! Application Servers! BSC BTS" cellular! AP" Home! AP" AP" WISP/Operator Hotspot! AP" Ethernet" segments" Enterprise! MS As the user moves, different access choices become available.!

802.11 Extension to Cellular Handoff to 802.11 Cellular (LTE) connection 12

Integrated WLAN/Cellular Network High data rates at hot spots covered by WLANs. Lower data rates elsewhere provided by cellular. Single account; single bill Roaming, session mobility Common applications and services Cellular traffic à WiFi offload 13

Classification of Wireless Systems Cellular Wireless Local Area Networks (WLANs) Wireless Metropolitan Area Networks (WMANs) Wireless Personal Area Networks (WPANs) Sensor Networks 14

Personal Area Networks (PANs) 15

Bluetooth: A Global Specification for Wireless Connectivity Wireless Personal Area Network (WPAN). Provides wireless voice and data over short-range radio links via low-cost, lowpower radios ( wireless cable). Initiated by a consortium of companies (IBM, Ericsson, Nokia, Intel) IEEE standard: 802.15.1 16

Bluetooth Specifications Allows small portable devices to communicate together in an ad-hoc piconet (up to eight connected devices). Frequency-hopped spread-spectrum in the 2.4 GHz UNII band. Range set at 10m. Gross data rate of 1 Mbps (TDD). 64 kbps voice channels Interferes with 802.11b/g/n Second generation (Bluetooth 3.0+) supports rates up to 25 Mbps. Competes with Wireless USB. 17

Wireless Challenges 18

Today Cellular terminology Interference and capacity (voice) Performance measures (SINR, user capacity) Blocking and grade of service Channel assignments 19

Cellular Concept Low power Transmitters Cellular Switch (MTSO) Location Database Microcells Handoff Enables frequency reuse! PSTN 20

Cellular Frequency Assignments E D F C A E B G D C E A B C D F A G B A G D C B A F G C G D A D B C F E G B cell cluster (contains all channels) co-channel cells 21

Example of Cellular Layout drive test plots Opensignal.com 22

Cellular Model Hexagonal cells Regular spacing Frequency reuse limited by co-channel interference. Received power decreases with distance. Note: Freq. i à group of channels (f 1,f 2,, f K ) Actual cell footprint will be irregular (depends on terrain, etc.) 23

Cellular Terminology Cell cluster: group of N neighboring cells which use the complete set of available frequencies. Cell cluster size: N Frequency reuse factor: 1/N Uplink or reverse link: Mobiles à Base station D B G A F C D B G E A F C D B G A F C Downlink or forward link: Base station à mobiles Co-channel cells: cells which are assigned the same frequencies cell cluster 24

Frequency Reuse (Ex) Given 50 MHz for Frequency Division Duplex (FDD) cellular 200 khz simplex channel (one direction) Cell cluster size N=3 Channel Bandwidth (BW) = Total available channels = Available channels per cell = 25

Frequency Reuse (Ex) Given 50 MHz for Frequency Division Duplex (FDD) cellular 200 khz simplex channel (one direction) Cell cluster size N=3 Channel Bandwidth (BW) = 2 x 200 = 400 khz Total available channels = 50,000/400 = 125 Available channels per cell = 125/3 41 26

Co-Channel Cells For hexagonal model, N is restricted: N=i 2 +ij+j 2, where i, j are positive integers A A i=3, j=2 N=i 2 +ij+j 2 =19 A A A Other examples: i= j=1 è N=3 i=0, j=2 è N=4 i=1, j=2 è N=7 i=2, j=2 è N=12 A A 27

Example with i=j=1 (N=3) C A C A B A C B B A C C B C A B B A A C A C B A C B cell cluster Cell cluster shape also covers the plane. 28

Interference and Capacity As N increases: Interference Channels per cell Capacity As N decreases: Interference Channels per cell Capacity 29

Interference and Capacity As N increases: Interference decreases Channels per cell decrease Capacity decreases As N decreases: Interference increases Channels per cell increase Capacity increases Objective: choose the minimum N subject to acceptable interference levels. 30

Sources of Interference 31

Sources of Interference Other users Multiple-Access interference Multipath (reflections of signals) Other devices or systems (e.g., in unlicensed band) Categories: Co-channel (frequency bands coincide) Adjacent-channel power Note: as transmitted power increases, so does the interference Channel 1 Channel 2 32 frequency

802.11b/g/n Channels (2.4 GHz) Comparison table Channels: 1 6 11 frequency à 14 overlapping (staggered) channels (11 in the U.S.) Center frequencies are separated by 5 MHz Bandwidth/interference controlled by spectral mask 30 db attenuation 11 MHz from center frequency 50 db attenuation 22 MHz from center frequency 33

Co-Channel Reuse Ratio 1 3 R 4 2. 6 1 5 7 D 4 2. 5 D R = 3N From hexagonal geometry 3 6 7 As D/R increases, interference decreases (improved isolation between co-channel cells). 34

Small D/R: Co-Channel Reuse Ratio Small N, large number of channels/cell More interference (fixed cell size) Large D/R: Small capacity Less interference (improved call quality) Numerical examples: i=1, j=0 è N=1, D/R= 3 i= j =1 è N=3, D/R= 3 i=1, j=2 è N=7, D/R= 4.58 i=2, j=2 è N=12, D/R= 6 35

Performance Measure: Signal-to-Interference-Plus-Noise Ratio (SINR) SINR = Received Signal Power Interference Power + Noise Power Expressed in db (10 log (SINR)) Typically, the interference power dominates (ignore noise) SINR à Signal-to-Interference Ratio (SIR or S/I) Total interference power is the sum over all interferers: More co-channel users à more interference 36

Why is SINR Important? 37

Why is SINR Important? The data rate depends on SINR: Data rate (bits/sec) actual curve depends on technology. SINR (db) Recall the Shannon rate: R = B log 2 (1 + SINR) B is bandwidth (Hz), rate is measured in bits per second Is it better to increase bandwidth or power? Why is SINR important for a voice service? 38

Why is SINR Important? For a voice service, R is fixed (say, around 10 kbps). This determines a minimum SINR that is required: Data rate voice rate SINR required SINR Smaller SINR à more co-channel users can be served Required SINR for voice users in cellular systems: 1G (AMPs): SINR 18 db 63.1 2G (GSM): SINR 12 db 16 2G (CDMA): SINR 7 db 5 3G (CDMA): SINR 3-5 db 2-3 39

First Tier Interference: Uplink Mobile-to-Cell Site Interference (Uplink) 6 co-channel cells (due to hexagonal cells) à 6 times the interference from a single cell 40

First Tier Interference: Downlink Cell Site-to-Mobile Interference (Downlink) 6 co-channel cells (due to hexagonal cells) à 6 times the interference from a single cell 41

Signal Attenuation distance d reference distance d 0 Reference power at reference distance d 0 Path loss exponent In db: P r = P 0 (db) 10 n log (d/d 0 ) P r (db) P 0 slope = -10n, n ~ 2 to 4 for urban cellular log (d 0 ) log (d)

First Tier Co-Channel Cells Signal power S P 0 (R/d 0 ) -n D First Tier Total Interference power I 6 P 0 (D/d 0 ) -n Therefore S/I = R -n /(6D -n ) = (D/R) n /6 1 R S/I (db) = 10n log (D/R) 10 log 6 = 10n log (3N) 1/2 10 log 6 Interfering Cell (will take n=4) 43

Same Principle for Other Wireless Devices Signal power S P 0 (R/d 0 ) -n D Total Interference power I 3 P 0 (D/d 0 ) -n Therefore S/I = R -n /(6D -n ) = (D/R) n /3 R S/I (db) = 10n log (D/R) 10 log 3 = 10 n log (3N) 1/2 10 log 3 (will take n=4) Interfering router 44

SIR vs. Frequency Reuse Signal-to-Interference Ratio (db) Cell cluster size N S/I (db) = 40 log (3N) 1/2 10 log 6 45

S/I Example Suppose desired S/I = 10 db = 10 From the graph, we can take N=3, that is, we need a 3-cell reuse pattern. But is this really adequate? 46

Worst Case Interference D Recalculating the S/I taking into account the different distances between co-channel cells would give an S/I < 10 db. D+R D D+R R D-R D-R To make sure the S/I 10 db, we must increase N à 4 (i=0, j=2), for which the S/I = 14 db. D However, even 14 db may not allow for additional Impairments due to different terrains, imperfect cell site location. Hence taking N=7 is safer Drawback? 47

Worst Case Interference D Recalculating the S/I taking into account the different distances between co-channel cells would give an S/I < 10 db. D+R D D+R R D-R D-R To make sure the S/I 10 db, we must increase N à 4 (i=0, j=2), for which the S/I = 14 db. D However, even 14 db may not allow for additional Impairments due to different terrains, imperfect cell site location. Hence taking N=7 is safer Changing N=3 à N=7 reduces the capacity by a factor of 3/7! 48

To Increase Capacity in Cellular Systems: 49

To Increase Capacity in Cellular Systems: Buy more spectrum Antenna sectoring Cell splitting Different cell configurations (zone microcell) Power control Migrate to higher efficiency systems 1G à 2G à 3G à 4G (LTE) 50

To Increase Capacity in Cellular Systems: Assign more spectrum Antenna sectoring Cell splitting Different cell configurations (zone microcell) Power control Migrate to higher efficiency systems 1G à 2G à 3G à 4G (WiMAX or LTE) 51

Sectorization (120 o ) Channels 1, 4, 7 Channels 2, 5, 8 120 o 120 o 120 o Channels 3, 6, 9 Channels are divided into 3 groups, assigned to the different sectors. 52

Sectorization (120 o ) Two Interferers in First Ring per Sector 120 o 120 o 120 o Cell Site-to-Mobile Interference (Downlink) Mobile-to-Cell Site Interfaces (Uplink) Use directional antennas to reduce the number of interferers from 6 to 2. S/I increases by factor of 3 (about 5 db) 53

60 o Sectorization One Interferer in First Tier per Sector 60 o 60 o 60 o 60 o 60 o 60 o Cell Site-to-Mobile Interference (Downlink) Mobile-to-Cell Site Interfaces (Uplink) Number of interferers reduced from 6 to 1. S/I increases by factor of 6 (about 8 db). 54

60 o Sectorization: Worst Case Interference 2. D + 0.7 R R.. M D. 1 Even larger improvement relative to worst-case omni-directional antennas (about 11 db). 55

Disadvantages of Sectoring 56

Disadvantages of Sectoring Additional complexity Increased handoffs (can be accommodated at base station instead of cellular switch (MTSO), so not a major concern) Less effective in dense urban environments due to scattering of radio waves across sectors. Reduced trunking efficiency 57

Smart Antennas (Beamforming) Narrow beam focused on one user Different beams can use the same frequency! This is one type of Multi-Input Multi-Output (MIMO) technology. 58

To Increase Capacity in Cellular Systems: Assign more spectrum Antenna sectoring Cell splitting Different cell configurations (zone microcell) Power control Migrate to higher efficiency systems 1G à 2G à 3G à 4G (WiMAX or LTE) 59

Cell Splitting 1 3 2 4 6 5 7 1 3 1 3 (6) (7) 2 (3) (4) (5) 6 (1) (2) 7 5 1 3 Growing by Splitting Cell 4 Into Cells of Small Size Smaller cells è lower power, more channels available per unit area. 60

Mixed Micro/Macro Cells How to accommodate both pedestrian (low-mobility) and high-mobility users? Macro-cell (1-2 mile radius) High power (expensive) Transmitters Micro-cell (e.g., city block) Low power (inexpensive) transmitters Micro-cell overlay reduces capacity of macro-cellular network! 61

Umbrella Cell High mobility users communicate with large (high power base station). Must support handoff between macroand micro-cells. (Mobile speed must be estimated at base station.) 62

802.11 Extension to Cellular Handoff to 802.11 Cellular connection 63

To Increase Capacity in Cellular Systems: Assign more spectrum Antenna sectoring Cell splitting Different cell configurations (zone microcell) Power control Migrate to higher efficiency systems 1G à 2G à 3G à 4G (WiMAX or LTE) 64

Zone Microcells Microwave or fiber optic link Zone Selector Base Station T x R x T x R x Remote Radio Heads T x R x Any channel can be assigned to any zone. No handoff between zones. Radiation localized, improves S/I. Highways, urban corridors. 65

Cellular Hierarchy 66

Remote Antennas / Radio Heads Blue circles represent remote antennas or radio heads. Signals from a cluster of antennas are processed by a Remote Central Processor. Envisioned as part of 5G. 67

To Increase Capacity in Cellular Systems: Assign more spectrum Antenna sectoring Cell splitting Different cell configurations (zone microcell) Power control Migrate to higher efficiency systems 2G à 3G à 4G (LTE) à 5G? 68

Power Control and System Migration Power control Advantages? 69

Power Control and System Migration Power control Minimizes interference Saves battery power Solves near-far problem (crucial in CDMA) 70

Power Control and System Migration Power control Minimizes interference Saves battery power Solves near-far problem (crucial in CDMA) Migration to 3G/4G/802.11 extensions Target S/I decreases; enables increased frequency reuse IS-136 (2G) requires S/I > 12 db à N=4 GSM (2G) requires S/I > 9 db à N=3 IS-95 requires S/I > 7 db (N=1) CDMA 2000 requires S/I > 3-5 db (depending on mobility) 71

Will 4G Satisfy Projected Demand? 72

Increases in Cellular Capacity Capacity (Spectral Efficiency 73

Trunking and Grade of Service (GoS) Idea (trunking): Allocate channels on a per-call basis. Select from pool of available channels. 74

Trunking and Grade of Service (GoS) Idea (trunking): Allocate channels on a per-call basis. Select from pool of available channels. Number of Calls in progress System capacity 4 3 2 Example: set of channels is (f 1, f 2, f 3 ) service times 1 time call arrival f blocked or 2 f 3 f 2 f 2 f 1 f 1 f delayed call 75 1

Grade of Service (GoS) GoS measures: Blocking probability Probability that delay > time T (e.g., maximum acceptable delay for voice call) GoS pertains to busiest hour (e.g., rush hour) GoS depends on:?? 76

Grade of Service (GoS) GoS measures: Blocking probability Probability that delay > time T (e.g., maximum acceptable delay for voice call) GoS pertains to busiest hour (e.g., rush hour) GoS depends on: Number of channels Call arrival rate λ Average holding time H Traffic engineering problem: determine the number of channels so that GoS meets some target performance (e.g., Prob of blocking < 2%). 77

Traffic Intensity Traffic intensity is defined as λ H, and measured in Erlangs. Example: λ=1 call/minute, H= 1 minute, λ H = 1 Erlang è on average, users request 1 channel λ H = ½ Erlang è there are no requests for channels more than 50% of the time Departing, or carried traffic Offered traffic ( load ) λ H = A Channel assignment f 1 f. 2 C channels f C Offered traffic is not the same as the carried traffic, due to blocking! 78

Erlang B Formula (1917) Formula for computing blocking probability assuming: Blocked calls disappear Requests for channel arrive according to a Poisson random process (inter-arrival times are independent, exponentially distributed) Applies to infinite user population C channels available Exponentially distributed service time Blocking probability formula: 1 Prob(call lasts < t secs) 1-e -t/τ 3 minutes time Blocked calls cleared formula (A = λh) 79

Erlang B Curves 80

Erlang C Formula Blocked calls enter a queue First come, first served Call is blocked if queuing delay D > T Formula for probability of blocking given in text. 81

Example Take P B = 2%, C=5 è Offered load A < 1.7 Erlangs If each user is busy 1/10 of the time (0.1 Erlang/user), Total # users < 17 (maximum) For C=10: A < 5 Erlangs or 50 users For C=100: A=88 or 880 users Observation: A/C (or users per channel) increases with C (e.g., 10 groups of 10 channels can support only 500 users) Trunking efficiency increases as C increases 82

Trunking Efficiency Refers to the traffic intensity (Erlangs) that can be supported given a fixed number of channels and a target blocking probability. For a fixed blocking probability: Trunking efficiency improves with the number of channels. è Best to pool as many channels as possible. 83

Defined as Voice Capacity [Total Total traffic carried (Erlangs) bandwidth (MHz)] Total area (km 2 ) Example: SE = 2 Erlangs/MHz/km 2 è 1 MHz supports 2 Erlangs/km 2 (Note that 1 km 2 may correspond to a cell.) If on average, each user is active 1/10 of the time, then 1 Erlang corresponds to 10 users. Traffic per cell depends on 84

Defined as Voice Capacity [Total Total traffic carried (Erlangs) bandwidth (MHz)] Total area (km 2 ) Example: SE = 2 Erlangs/MHz/km 2 è 1 MHz supports 2 Erlangs/km 2 (Note that 1 km 2 may correspond to a cell.) If on average, each user is active 1/10 of the time, then 1 Erlang corresponds to 10 users. Traffic per cell depends on: Number of channels Grade of Service (e.g., typically 2%) S/I requirement (determined by cluster size N) 85

Effect of Sectorization Does sectorization increase user capacity (Erlangs) per cell? 86

Effect of Sectorization For fixed N, sectorization Increases the S/I Reduces trunking efficiency Example: 90 channels per cell, 120 o sectors gives 30 channels per sector, which reduces the number of Erlangs that can be supported for a given blocking probability. Can we use sectorization to increase user capacity? Yes, must also reduce N Increases channels per cell è increases user capacity Increases interference, lowers S/I Sectorization then increases S/I 87

Channel Allocation Consider GSM: 25 MHz (simplex), 200 khz channels à 125 channels (1 is used for control signaling) How to allocate channels to cells? Suburb (lightly loaded) Train station Shopping mall 88

Channel Allocation Consider GSM: 25 MHz (simplex), 200 khz channels à 125 channels (1 is used for control signaling) How to allocate channels to cells? Objective: equalize blocking probability (target is around 2%) Fixed channel allocation assigns fixed set of channels to each cell Drawback? Suburb (lightly loaded) Train station mall 89

Channel Allocation Consider GSM: 25 MHz (simplex), 200 khz channels à 125 channels (1 is used for control signaling) How to allocate channels to cells? Objective: equalize blocking probability (target is around 2%) Fixed channel allocation assigns fixed set of channels to each cell. Drawback: traffic is time-varying Suburb (lightly loaded) Train station mall Dynamic channel allocation varies the number of channels per cell, depending on the load. 90

Dynamic Channel Allocation Channels already in use 1,3 2,6 new call: search for channel 1,3,4 5 91

Dynamic Channel Allocation Channels already in use 1,3 2,6 4 new call: search for channel 5 1,3,4 Channels assigned from complete set of available channels Each user searches for a channel with high SINR (low interference) No frequency planning! 92

802.11b/g/n Channels Comparison table Channels: 1 6 11 14 overlapping (staggered) channels (11 in the U.S.) Center frequencies are separated by 5 MHz Bandwidth/interference controlled by spectral mask 30 db attenuation 11 MHz from center frequency 50 db attenuation 22 MHz from center frequency 93

Dynamic Channel Allocation: 802.11b/g Channel 6 Channel 11 Channel 1 94

Dynamic Channel Allocation: 802.11b/g Channel 6 Channel 11 Channel 1 interference Add new router Channel 6 95

Dynamic Channel Allocation: 802.11b/g Switches to channel 1 Channel 11 Channel 1 interference Channel 6 96

Dynamic Channel Allocation: 802.11b/g channel 1 Channel 11 Switches to channel 6 interference Channel 6 97

Dynamic Channel Allocation: 802.11b/g channel 1 Channel 11 channel 6 interference Switches to channel 1 Dynamic channel assignment becomes unstable! 98

Overlapping Channel Assignment channel 1 Channel 11 channel 6 power Interference (less than before) Interference (less than before) Channel 3 Channels: 1 3 6 frequency 99

Channel Allocation Objective: equalize grade of service (blocking probability) over coverage area à Allows increase in subscriber pool. Fixed Channel Assignment (FCA): channels assigned to each cell are predetermined. Separate channels within a cell to avoid adjacent-channel interference Nonuniform FCA: distribute channels among cells to match averaged traffic load over time. Channel borrowing: borrow channels from neighboring cell Temporary: high-traffic cells return borrowed channels Static: channels are non-uniformly distributed and changed in a predictive manner to match anticipated traffic Dynamic Channel Assignment (DCA): channels are assigned to each call from the complete set of available channels Must satisfy S/I constraint Channels returned to pool after call is completed Can be centralized (supervised by MSC) or distributed (supervised by BS) Distributed DCA used in DECT 100

FCA Low complexity Better under heavy traffic Sensitive to changes in traffic Variable grade of service Higher probability of outage Suitable for macro-cellular systems (e.g., cellular) Low call setup delay Requires careful frequency planning Centralized assignment FCA vs. DCA DCA Moderate/High complexity Must monitor channel occupancy, traffic distribution, S/I (centralized) Better under light/moderate traffic Insensitive to changes in traffic Stable grade of service Low probability of outage (call termination) Suitable for micro-cellular systems (e.g., cordless) Moderate/high call setup delay No frequency planning Assignment can be centralized or distributed 101