Historical Allegory. Paperback Movies, Put a movie on a CD (a trivial problem) Asymmetrical coding (versus H.261)

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2 Historical Allegory Paperback Movies, 1984 Task: Approach: Result: By-product: Put a movie on a CD (a trivial problem) Asymmetrical coding (versus H.261) Scalable Video Decouple the Transmitter, channel, and receiver Open Access Global Thermonuclear Television

3 Radio Communications Peer-to-peer radio, 2004 Task: Build wireless systems that scale Approaches: Apply (intelligent) processing to RF Revisit the physics of radio versus the economics Consider the space rather than a single channel Active, cooperative, plentiful elements Result: Viral Communications By-products: Decouple the Transmitter, channel, and receiver Infrastructure-free communications Open architecture radios and services Global Thermonuclear Wireless

4 RF Relaying Capacity ~n Capacity Bandwidth/Node n Bandwidth/Node n The challenge is to move wireless from the curve on the right to the curve on the left.

5 Viral Broadband 2002: Mayhem Protocol 2003: Local Intelligence Lippman, Reed, Bletsas, Christakos, Vyzovitis, Cooley, Li

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7 Related Work MIT Media Lab Digital Life Paradiso: Sensing technology Bove: Distributed intelligence Schmandt: Portable familiarity Ishii: Tangible interfaces Ariely: Psychology of economics Selker: Context dependent computing Minsky: Commonsense

8 Electronic Proteins Society: Connected health Technology: Making things smaller Implications: Personal fabrication

9 Natural Helpers Society: Health versus medicine Technology: Cyborgs Implications: Guardian Angel, Herr s leg QuickTime and a YUV420 codec decompressor are needed to see this picture.

10 Exoskeletons Society: Health versus medicine Technology: Cyborgs Implications: Guardian Angel, Herr s leg QuickTime and a Cinepak decompressor are needed to see this picture.

11 Viral Communications

12 Telephone Exemplar B B A A B B B A Radio communication normally uses one transmitter and one receiver. Throughput is understood. New systems use multiple transmit and/or receive antennas, E.g., Blast, COFDM A A Creates Cells on-the-fly Every phone is a tower Every node is a service Relaying is realtime, done in RF front end, not in the processor

13 almost makes it Viral Radio 802H G Scalability Incremental Value-adding From home to market Unreliability can be a feature Asynchrony can be a feature VoD and Streaming are old-think

14 Mission: Basic enabling technologies Connectivity/Scalability Power Time and Place Sensor Technologies Representations Design (Industry and regulatory dynamics)

15 Lesson of 2004: Propagation A B Simple task: Send messages from A to B Observation: It doesn t work as we thought

16 Optimal Propagation Signal Strength 1/r 2 1/r 3.5 Distance Free space is well known, other cases are not

17 Optimal Propagation Signal Strength Least energy 1/r 2 1/r 3.5 Distance The real world is far worse, but not irrationally so

18 Lesson of 2004: Propagation Simple task: Send messages from A to B Observation: It doesn t work as we thought

19 Lesson of 2004: Propagation A???? B Model: (1) Fill the space with radios (versus power) (2) They determine best case relay (3) Diversity allows two to win (4) Decoderless relay Worst case for A is good case for C Bletsas, 2004

20 Lesson of 2004: Propagation A???? B Model: (1) Fill the space with radios (versus power) (2) They determine best case relay (3) Diversity allows two to win (4) Decoderless relay Worst case for A is good case for C Bletsas, 2004

21 Work for : Programmability Motorola Laboratory Front Ends Tasks: Modulation (COFDM) Coordination In-band and cross-band relay Note: These bench items are test units

22 Work for : Distributions Distributed-in, Distributed-out sensing Task: Most sensor nets are for centralized reporting (and speculative). Can we use the same notion of intelligent distribution to build networks that both sense and report or actuate locally? Applications: building evacuation, resource allocation, traffic planning, group activity, M2M Assumptions: Local memory and communications Your help: Defining Application parameters Demonstration (Chistakos), Fall 2004

23 Work for : Distributions Distributed-in, Distributed-out sensing Task: Most sensor nets are for centralized reporting (and speculative). Can we use the same notion of intelligent distribution to build networks that both sense and report or actuate locally? Applications: building evacuation, resource allocation, traffic planning, group activity, M2M Assumptions: Local memory and communications Your help: Defining Application parameters Demonstration (Chistakos), Fall 2004

24 Additional Material

25 Wireless is the default Collaborative radio, 2004 Photons for information Electrons for power Interference is a regulatory concept It s the network, stupid Wires cost money, air can be free Global Thermonuclear Wireless

26 Video on Demand Listening to the young Selection Immediacy Duration of ownership Cost Viral Broadband: Vyzovitis, protocol and local system

27 Local Memory and Comms Listening to the sponsors Size Frequency Rate Cost Car keys, low-rpu systems

28 Cooperative Radio RF computing Frequency/Space Subdivision Packet Multihop Cooperative Diversity system capacity Performance per node Node density

29 Bursts Versus Streams Spotlights versus flat-lighting Storage is cheap and portable

30 Broadband Material