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Network diversity in broadband wireless system ONR workshop 2003 Hui Liu Department of Electrical Engineering University of Washington

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Network diversity in broadband wireless system

ONR workshop 2003

Hui Liu

Department of Electrical Engineering

University of Washington

Outline

• Multiuser/network diversity• Applications

– OFDMA network– Rapidly deployable, self-configurable WAN

• Concluding Remarks

Multiuser/network diversity

• Wireless users’ characteristics are heterogeneous.

– Dynamic channels (space/frequency/time)

– Diverse QoS requirements.

– Varying mutual interference.

• Multi-user/network diversity: diversity exploited by the MAC layer for efficient resource sharing

Example: spatial multiuser diversity

User 5

User 1

User 2

User 3

User 4

User 1

User 2 User 4 User 5

User 3

time

space

SDMA: random assignment

User 1

User 3 User 4User 5

User 2

time

space

SDMA: channel-aware assignment

• spatial correlation: orthogonal coherent• intelligent SDMA: near-orthogonal users in one time slot • significant gain without undue PHY cost

Spatial signatures

Example: frequency multiuser diversity

• frequency-selective broadband channels

• spontaneous packet interference

• each narrowband resource likely to be a very good channel for some users

• capacity maximized when channel to the best user (fairness ignored)

Frequency

SN

R

Frequency

SN

R

Frequency

SN

R

OFDM:User #1

OFDM:User #2

OFDMA

Broadband resource scheduling

video

data

data

voice

user 1

video

data

data

user n

voice

user 2

RF

chan

nel

RF

chan

nel

RF

chan

nel

video 1

data 1

data n

voice 1RFchannel i

data 1

data n

video n

voice 2 RF channel j

Example: traffic multiuser diversity

• diverse QoS (e.g., delay and throughput)

• instantaneous resource unit (time-frequency-space) bears different significance

• cross-layer designs enable maximum gain

• Challenge is to exploit multiuser diversity while sharing the benefits fairly and timely to users

Outline

• Multiuser/network diversity• Applications

– OFDMA network– Rapidly deployable, self-configurable WAN

• Concluding Remarks

The trend

WLAN

BWA

Cellular 2G 4G3G

802.16Proprietory

802.11/Hiperlan

DVB-T

Generic OFDMA broadband wireless network

IFFTSerial

ToParallel

ParallelTo

SerialOFDM

Usersignal

Coding

COFDM

MC-CDMA

OFDMA

Spreadspectrum

1-11-1

FH-OFDM

t

IFFTSerial

ToParallel

Usersignal

Coding Spreadspectrum

1 1-1 -1 f

• No intracell interference

• Finest granularity

• Simple, low cost PHY

• Capacity achieving

Exploiting multiuser diversity in OFDMA

• Maximizing the total throughput (easy) while satisfying– individual users rate requirements (NP-Hard)

– and outage probability constraints (NP-Hard)

Video

Data

Subcarriers omittedVoIP

Intelligent MAC with sub-optimum channel scheduling

• Two-step algorithm with linear complexity1. Bandwidth allocation – to decide the amount of bandwidth for

users based on rate constraints and channel mean/variances

2. Channel allocation - to determine specific channel sets for users based on actual channel characteristics

Network setup

• System Parameters– Bandwidth of the system: 1 MHz; Number of users: 64;– Number of traffic channels: 128; Buffer size: 20 packets/user– Traffic intensity among users: Random

• Algorithms in comparison– BCOFDMA: proposed two-step algorithm– AOFDMA : adaptive modulation/coding with no regard to rate constraints– IAOFDMA : Improved AOFDMA with bandwidth proportional to users’ rate constraints– ROFDMA : randomly assignment of channels with bandwidth proportional to users’ rate constraints

Performance gain

• Throughput vs. traffic intensity (fixed outage probability)

100 150 200 250 300 35060

80

100

120

140

160

180

200

220

240Total throughput vs. total arrival rate

total arrival rate

Tot

al t

hrou

ghpu

t

UpperboundBCOFDMA IAOFDMA ROFDMA AOFDMA

Outline

• Multiuser/network diversity• Applications

– OFDMA network– Rapidly deployable, self-configurable WAN

• Concluding Remarks

Micro-MobilityMicro-MobilityManagementManagement Macro-MobilityMacro-Mobility

ManagementManagement

Rapidly deployable data network

• Flexible and scalable wide area network using satellite backhauls and configurable wireless ground access

• Supports broadband multimedia applications and all-IP based mobility management

• VPN security and other benefits from both existing and emerging IP-related technologies and services

• Minimum to none cell planning

• Self-organized base-stations

• Maximum capacity for broadband multimedia

OFDMA-basedOFDMA-basedConfigurable ground Configurable ground networknetwork

Traditional cellular network

Lasting (voice) interference from neighboring cells

Spatial Frequency Reuse

OFDMA-based, opportunistic frequency reuse

• Self-provisioning cells– Intra-cell interference free– Inter-cell interference avoidance– Overlapping cell redundancy

• Maximum flexibility – Allow “peak capacity” access by one user if

other uses are idle– Configurable to circuit-switched FDMA

• Suitable for bursty packet network

OFDMA radio resources

More network flexibility more multiuser/network diversity

• Inputs

• Users’ broadband channel characteristics

• Users’ rate requirements

• # of users/cell

• Outputs

• Radio channels for each cells

• {Frequency_IDs, Terminal_IDs}

RNC

BTS BTSBTS

UE 1 UE 2 UE 1 UE 2 UE 1 UE 2

Ai r i nterface

BTSAPBTSAPBTSAP

Semi-distributed resource scheduling

1 10. . .2 1 10. . .2

traff i c sl otcontrol

sl ot

1. BS recei ves RNCadvi ses2. BS broadcasts Beacon3. BS recei ves CSI

1. channel assi gnmentto users

controlsl ot

traff i c sl otcontrol

sl ottraff i c sl ot

super f rame100ms

super f rame100ms

. . .

1. BS recei ves RNCadvi ses2. BS broadcasts Beacon3. BS recei ves CSI

1. channel assi gnmentto users

1. BS recei ves RNCadvi ses2. BS broadcasts Beacon3. BS recei ves CSI

• Users determine strongest signals and interference

• Base-stations collect traffic and channel information

• RNC provides low-rate IA decisions every super-frame

• BTS performs high-rate channel assignment based on traffic and channel characteristics

Performance comparison

20 40 60 80 100 120 14010

20

30

40

50

60

70

80

90

100

110

traffic load

thro

ughput

(kbits/)

throughput vs. traffic load

RAND RAND-misallignedIA IA-misallgned

Performance Gains

Random channel selection [bit/Hz]

Channel selection with interference avoidance[bit/Hz]

Improvement

Perfect cell configuration

3.1261 3.7088 20%

Cell configuration w. misalignments

2.0503 3.24 61%

Degradation due to misalignments

35% 12%

Concluding remarks

• Multiuser/network diversity– Diverse fading and selectivity desirable in multiuser network

– Intelligent MAC increases system capacity and network flexibility

– Limiting factors including overhead/update rate, optimization complexity, and architectural support

• A new paradigm for broadband network – From point-to-multipoint to multiuser packet data

– From decoupled PHY and MAC to cross-layer

– From CDMA to OFDMA