Indoor Diffuse Optical MIMO Communication System
Pankil Butala, Jimmy Chau, Hany Elgala and Prof. Thomas D. C. Little1
Sagar Ray, Ethan Spitz and Prof. Mona Hella2
Ali Mirvakili and Prof. Valencia Koomson3
1Boston University, 2Rensselaer Polytechnic Institute, 3Tufts University
Project Goals
T1.2.3
Research Results
Future Work
Multicolored
Luminaires
Transmitter
• Develop system to service high speed
wireless data access along with
controllable indoor space illumination
Hybrid MIMO
Channel
Imaging Optics
Imaging Sensor
Multicolored
Imaging Receiver
Sketch: Spatial Division Multiplexing MIMO VLC System
Pixel
•
: Radiant flux output from transmitter j
• Free Space Gain
Spot
• Optics Gain
• Image Magnification
Sketch: Hybrid MIMO VLC System
• Image Gain
MIMO System Block Diagram
• High data rates achieved using MultiInput, Multi-Output (MIMO)
communication techniques
• Illumination control is achieved using
multicolor luminaires
• Aggregate Channel Gain
• Received Signal Power
•
•
is combining algorithm
Project’s ERC Role
STAKEHOLDERS
-Lighting Industries
-Health Care Industries
-Communications
Industries
-Prototypes
-Design Standards
-Integration Protocols
Products & Outcomes
Efficient Full
Spectrum Lighting
Display
Illumination Fusion
Adaptive Lighting
Testbed
SYSTEM REQUIREMENTS
Requirements
Healthy
Room
Biochemical Sensing
Testbed
Data Room
Communications
Communications
Testbed
Testbed
Technology Integration
System
Performance
Feedback
Subsystems &
Protocols
Level 3: Systems
Human Factors &
Interfaces
Biochemical Sensors
Adaptive Sampling &
Control Modeling
Communication
Transceiver & Protocol
Technology Base
Performance
Feedback
Materials &
Devices
Level 2: Enabling Technologies
Opto Electronic
Device Design
III-Nitride Epitaxy
b
Technology Elements
Light Flow Modeling
Advanced Luminaires
BARRIERS
- System Cost
- Lighting Designer acceptance
- Light/RF Wireless standards
integration
- Clinical Impacts
Nano LED
Technology
a
BARRIERS
- Color and intensity uniformity
d
maintenance
- Stray light impact on sensor SNR
- Lack of source/sensor
communications protocols
-Biochem-identification &
discrimination
Societal Benefits
Fundamental Insights
Photonic Crystal
Optics
High Efficiency
Phosphors
Color-selective High
Speed Sensors
Plasmonic Structures
Knowledge Base
BARRIERS
- Inefficient LEDs (except Blue)
- Limited bandwidth of sources
- Lack of color discriminating
sensors
- Lack of monolithic optoelectronic
integration
Level 1: Fundamental Knowledge
c
Efficiency: Automated,
controllable illumination leads to
efficient use of electrical power
and thus large energy savings
Project area (highlighted) in the 3 plane diagram
• Interact with adaptive lighting testbed to
engineer a shared illumination +
communication system
• Interact with high speed drivers and
advanced luminaires group to engineer
high speed color controllable luminaires
for system
• Interact with advanced sensors group to
engineer high speed receivers for system
a) System setup at Boston University b) Tufts Transmitter
c) RPI Receiver d) 2x2 channels as seen on oscilloscope
Health: Controllable illumination
and higher data rates enable
smart room services that can
monitor and improve health
Relevant Research
• Zeng et al, “High data rate MIMO optical
wireless communications using white led
lighting”, Selected areas in
communications, IEEE Journal on, 2009
• 6x6 transmitter array
• 0.4W per transmitter
• 12x12 (5.91cm x 5.91cm) detector array
• OOK-NRZ, BER < 10-6
• Equalized White Channel
• Data Rate = 1080 Mbps
• Expand the setup to 4x4 s-MIMO
• Incorporate FPGAs at the transmitter and
receiver to demonstrate high speed
wireless VLC link
• Install the setup in VLC + adaptive lighting
testbed to demonstrate illumination,
control and VLC in an integrated system
• Investigate wavelength division
multiplexing (λ-MIMO) VLC system and
optimize for different use cases
• Investigate wavelength division spatial
multiplexing (hybrid-MIMO) and optimize
• Develop/Acquire color tunable luminaire
capable of high speed modulation
• Develop specifications for multicolored
imaging receiver
• Demonstrate SOA and proof of concepts
b
a
c
Productivity: Higher wireless
data bandwidths can enable
new sophisticated real time
applications that can improve
productivity
Acknowledgements
Channel de-correlation experiment: a) Block signal output from each transmitter
one at a time b) Lose signal from transmitter 1 c) Lose signal from transmitter 2
This work is supported by the NSF under cooperative agreement
EEC-0812056 and by New York State under NYSTAR contract
C090145. Any opinions, findings, and conclusions or
recommendations expressed in this material are those of the
author(s) and do not necessarily reflect the views of the National
Science Foundation.