ee392w project presentation cooperative mimo techniques in sensor networks 03/08/2005 wireless...

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EE392W Project Presentation Cooperative MIMO Techniques in Sensor Networks 03/08/2005 Wireless Systems Lab Stanford University Yifan Liang [email protected]

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EE392WProject Presentation

Cooperative MIMO Techniques

in Sensor Networks

03/08/2005Wireless Systems Lab Stanford University

Yifan [email protected]

2EE392W - Stanford University

Target Problem

Receiver nodeTransmitter nodeAssisting node

THE BEST TRANSMISSION STRATEGY?

OBJECTIVE: ENERGY EFFICIENCY

3EE392W - Stanford University

Outline

Non-cooperative Transmission Cooperative Transmission

Diversity Gain Spatial Multiplexing

Conclusion Cooperative scheme more energy efficient in the

long-range transmission

4EE392W - Stanford University

Outline

Non-cooperative Transmission Cooperative Transmission

Diversity Gain Spatial Multiplexing

Conclusion Cooperative scheme more energy efficient in the

long-range transmission

5EE392W - Stanford University

Non-Cooperative Transmission

6EE392W - Stanford University

Non-Cooperative Transmission

No use of assisting nodes

7EE392W - Stanford University

Non-Cooperative Transmission

No use of assisting nodes

Transmitter nodes: TDMANode in active transmission

Node in the waiting list

8EE392W - Stanford University

Non-Cooperative Transmission

No use of assisting nodes

Transmitter nodes: TDMANode in active transmission

Node in the waiting list

Transmission Completed

9EE392W - Stanford University

Non-Cooperative Transmission

No use of assisting nodes

Transmitter nodes: TDMANode in active transmission

Node in the waiting list

Transmission Completed

10EE392W - Stanford University

Non-Cooperative Transmission

No use of assisting nodes

Transmitter nodes: TDMANode in active transmission

Node in the waiting list

Transmission Completed

11EE392W - Stanford University

Non-Cooperative Transmission

No use of assisting nodes

Transmitter nodes: TDMANode in active transmission

Node in the waiting list

Transmission Completed

12EE392W - Stanford University

Non-Cooperative Transmission

No use of assisting nodes Transmitter nodes work in a TDMA

manner Only one node in active transmission at any time Call it a Single-Input-Single-Output (SISO) scheme

Energy consumption analysis Transmission energy Circuit Energy

13EE392W - Stanford University

System Blocks

DAC LPF Mixer

SYN

BPF PA

ADC BPF Mixer

SYN

LNA BPFAAFIFA

Wireless Link

TX

RX

14EE392W - Stanford University

System Blocks

Ect = Pct * Ton PA

Ecr = Pcr * Ton

Wireless Link

TX Circuitry

RX Circuitry

TransmissionEnergy

Ec = (Mt * Pct + Mr * Pcr) * Ton

15EE392W - Stanford University

Transmission Energy

TxRxSquare-Law Path loss

Block Rayleigh Fading

+

Et Es ~ Et/d2

Transmit energy

Average receive energy;

Only considers path loss

22

02SNR

N

ES

With fading & noise

BER

Average over distribution of SNR

16EE392W - Stanford University

Outline

Non-cooperative Transmission Cooperative Transmission

Diversity Gain Spatial Multiplexing

Conclusion Cooperative scheme more energy efficient in the

long-range transmission

17EE392W - Stanford University

Cooperative Transmission

Channel Model Similar to SISO

Vector input/output Channel gain matrix

Assume a simple case Two transmit nodes One receive node One assisting node Multiple-Input-Multiple-Output (MIMO)

2

1

2

1

2221

1211

2

1

n

n

x

x

hh

hh

y

y

x1

x2 y2

y1h11

h12

h21

h22

18EE392W - Stanford University

Compare MIMO with SISO

Pros Reduced transmission energy due to higher SNR

Cons Increased circuit energy consumption Local data exchange: overhead

19EE392W - Stanford University

Outline

Non-cooperative Transmission Cooperative Transmission

Diversity Gain Spatial Multiplexing

Conclusion Cooperative scheme more energy efficient in the

long-range transmission

20EE392W - Stanford University

Cooperation for Diversity Gain

Basic idea Tx side: The same symbol is sent through each

node Rx side: Combine multiple copies of the same

symbol

Motivation for diversity It is unlikely all links experience deep fading at the

same time

21EE392W - Stanford University

Cooperation for Diversity Gain

Alamouti Scheme

Local data exchange necessary at Tx Data rate R = 1

Transmission Sequence

x1 (1)

x1* (1)

…………x2 (1)

-x2* (1) x1 (2)

x1* (2)x2 (2)

-x2* (2)

22EE392W - Stanford University

Cooperation for Diversity Gain

Transmission Timeline

Transmission Sequence

N1 data

N2 data

y1 data

y1/y2

joint DEC

Tx Local Data Exchange

Long HaulTransmission

Rx Local Data Exchange

23EE392W - Stanford University

Compare MIMO with SISO

Increased circuit energy consumption Local data exchange: overhead Reduced long-haul transmission energy

Higher SNR

24EE392W - Stanford University

Transmission Energy

TxRxSquare-Law Path loss

Block Rayleigh Fading

+

Et Es ~ Et/d2

Transmit energy

Average receive energy;

Only considers path loss

22

02SNR

N

ES

With fading & noise

BER

Average over distribution of SNR

25EE392W - Stanford University

Long-haul Received SNR

Received SNR Es: signal

power No: noise power Mt: number of

Tx nodes

Chi-squared r.v,

degrees of freedom 2MtMr

22

02SNR

rtMMt

S

NM

E

22 rtMM

26EE392W - Stanford University

Compare SISO with MIMO

Long haul Transmission EnergyBER = 1e-3

Long haul Circuit Energy

27EE392W - Stanford University

Compare SISO with MIMO

Long-haul total energyBER = 1e-3

Total energy include local overheadBER = 1e-3

28EE392W - Stanford University

Outline

Non-cooperative Transmission Cooperative Transmission

Diversity Gain Spatial Multiplexing

Conclusion Cooperative scheme more energy efficient in the

long-range transmission

29EE392W - Stanford University

Cooperation for Diversity Gain

Alamouti Scheme

Local data exchange necessary at Tx Data rate R = 1

Transmission Sequence

x1 (1)

x1* (1)

…………x2 (1)

-x2* (1) x1 (2)

x1* (2)x2 (2)

-x2* (2)

30EE392W - Stanford University

Cooperation for Spatial Multiplexing

No local data exchange at Tx Increased data rate R = 2 Reduced transmission time

Transmission Sequence

x1 (1) …………x2 (1)

x1 (2)

x2 (2)

x1 (3)

x2 (3)

x1 (4)

x2 (4)

31EE392W - Stanford University

Cooperation for Spatial Multiplexing

Transmission Timeline

Transmission Sequence

y1 data

y1/y2

joint DEC

NO Tx Local Data Exchange

Long HaulTransmission

Rx Local Data Exchange

32EE392W - Stanford University

Long-haul Received SNR

ZF receiver Requires Mr >= Mt

Received SNR Es: signal power No: noise power Mt: number of Tx nodes Mr: number of Rx nodes

2)1(2

02SNR MtMr

t

S

NM

E

33EE392W - Stanford University

Compare SISO with MIMO

Total energy consumptionMt = Mr = 2

Total energy consumptionMt = 2 Mr = 3

34EE392W - Stanford University

Compare SISO with MIMO

35EE392W - Stanford University

Conclusions

Cooperative vs. non-cooperative scheme Saves transmission energy Consumes more circuit energy Local data exchange an overhead Preferable in the long-range transmission

Spatial Diversity vs. Multiplexing Multiplexing scheme only beats SISO when Mr>Mt For fixed (Mt, Mr), diversity scheme edges out More energy saving not guaranteed with more

collaborative nodes

A big THANK YOU to

Prof. Aghajan, Sumanth Jagannathan and all fellow 392W students!