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Ultra-High-Speed Wireless Ad-Hoc Networks using Free-Space-Optics (FSO) Shiv Kalyanaraman, Murat Yuksel, Partha Dutta [email protected] : “shiv rpi” Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 1 Motivations: Free-Space-Optical (FSO) AdHoc Networks: Mobile or Fixed Multi-Hop Application: Mixed RF/FSO Ad-Hoc Networks (Military Application) Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 2 Bringing Optical Communications and Ad Hoc Networking Together… Free-Space-Optical Communications (FSO) Ad Hoc Networking High bandwidth Low power Directional Mobile communication Auto-configuration Free-Space-Optical Ad Hoc Networks Spatial reuse and angular diversity in nodes Low power and secure Electronic auto-alignment Optical auto-configuration (switching, routing) Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 3 Current Commercial FSO Point-to-Point Links in dense metros, competing with “wires” and “leased lines” Issue: How to achieve link reliability/availability despite weather Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 4 Ad-Hoc/Meshed Optical Wireless: Why? Positive points: High-brightness LEDs (HBLEDs) are very low cost and highly reliable components 35-65 cents a piece, and $2-$5 per transreceiver package + upto 10 years lifetime Very low power consumption (100 microwatts for 10-100 Mbps!) Even lower power for 1-10 Mbps 4-5 orders of magnitude improvement in energy/bit compared to RF Directional => Huge spatial reuse => multiple parallel channels for huge bandwidth increases due to spectral efficiency More Secure: Highly directional + small size & weight => low probability of interception (LPI) Issues: Need line-of-sight (LOS); and alignment of LOS & network auto-configuration Need to deal with weather & temporary obstacles, alignment loss Challenge: leverage huge benefits while tackling problems. Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 5 Optical Wireless: Commodity components LEDs… VCSELs… IrDAs… Lasers… Many FSO components are very low cost and available for mass production. Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 6 Spatial Re-use: 2D FSO Arrays: 1-100Gbps Backhaul Node 1 Node 2 D D/N … Node 1 Repeater 2 Repeater 1 Node 2 Repeater N-1 1cm2 LED/PIN => 1000 pairs in 1ft x 1ft square structure 100 Gbps aggregate bandwidth (= 1000 x 100 Mbps) Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 7 Aggregate Capacity in 2-d Arrays: Interference vs Density vs Distance Interference Error vs. Packaging Density Bandwidth-Volume Product Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 8 Auto-Alignment: 3D Spherical FSO Structures LED Micro Mirror PhotoDetector Spherical Antenna Cluster of FSO Components Optical Transmitter/Receiver Unit LOS Step1: LOS Detection Through the use of Spherical FSO Antenna Array Step2: Links Set-Up by Bundling LOS’ through Mirror adjustments for each LED-Photodetector Units Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 9 Initial Ad-Hoc FSO Prototypes Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 10 Initial Ad-Hoc FSO Prototypes (contd) 60 50 Misaligned Aligned 40 Duration of Alignment (%) 30 20 10 100 128 121 112 105 97.5 88.5 79 72 65 51.5 40.5 33 23 17 11 0 0 Light Intensity (lux) Received Light Intensity from the moving train. 70 50 Angular Position of the Train (degree) Very dense packaging and high mobility are feasible. 0 0 0 20 10 40 20 60 30 80 40 100 50 120 Circuit Delay (milliseconds) Shivkumar Kalyanaraman Angular Speed (degrees/second) Rensselaer Polytechnic Institute 11 Initial FSO Prototypes Inside of the sphere is coated w/ mirror Photo-detector Integrating ball to increase angle of reception – inside is coated with mirror. Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 12 Audio Transmission on FSO Link using low cost LED’s and Photo Diodes: Two Channel Mixing a) Two transmitters on different channels Rensselaer Polytechnic Institute b) Single receiver and circuit for both the channels Indoor FSO ad-hoc networks Shivkumar Kalyanaraman 13 Indoor Ad-Hoc FSO: Music App (contd) Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 14 Hybrids: 3D Auto-Alignment with 2D Arrays Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 15 Auto-configuration: Location tracking and management Location tracking: (optional integration w/ GPS) Use highly granular spherical FSO antennas (e.g. hundreds of transceivers) can detect angle of arrival Use time of flight or signal strength can detect distance Unlike RF, no need for triangulation: sense of direction is available. Allows easy integration with Community Wireless Networks (CWNs) Organic network growth - angle of arrival Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 16 Emerging Apps: Broadband Sensor Networks: Eg: Mobile/Fixed Camera Networks More than 10,000 public and private cameras in Manhattan, 2.5 million in the UK! Subways, airports, battlefields, factory floors, highways… Thousands of un-supervised and moving cameras w/o centralized processing or control Key: Mix of Low Power AND High Speed AND Ad-Hoc/Unsupervised Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 17 SUMMARY: Ultra-Broadband Wireless: puzzle falling in place… (1) Infinite Spectrum in Thin Air! Key: use unlicensed spectrum or larger licensed bands (2) Multi-hop architecture w/ Base-Station Interfaces Wireless is fundamentally cheap for shorter distances, smaller coverage Organic architecture: auto-conf, self-management (10+ years of research in ad-hoc networks), community wireless IP/geographic routing, fully distributed traffic engineering mechanisms Technology neutral, extensible, modular: 802.11x, 802.16x, FSO (2a) Multi-hop Free-space-optics (FSO) using ultra-low-cost components for 100 Gbps+ capabilities Key: Broadband CWNs & ad-hoc FSO complementary to ongoing advances in FTTH, DSL/Cable, WiMax, 3G rollouts. Open Problems in upgrading the network and transport layers to leverage raw, but distributed bandwidth, and tolerate higher bursty losses (weather related) Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 18 Thanks! Student Heroes: Jayasri Akella, [email protected] Dr. Murat Yuksel (post-doc): [email protected] Chang Liu, [email protected] David Partyka, [email protected] Sujatha Sridharan Bow-Nan Cheng: [email protected] (CWN project) : “shiv rpi” Shivkumar Kalyanaraman Rensselaer Polytechnic Institute 19