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Wireless Communications Systems Research Needs

Wireless Communications Systems Research Needs. Gary J. Minden The University of Kansas Information and Telecommunications Technology Center gminden@ittc.ku.edu. Future Radios (FR).

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Wireless Communications Systems Research Needs

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  1. Wireless Communications Systems Research Needs Gary J. Minden The University of Kansas Information and Telecommunications Technology Center gminden@ittc.ku.edu

  2. Future Radios (FR) • Future Radios extend hardware radios and a software defined radios (SDR) from a simple, single function device to a radio that is senses and reacts to its operating environment and peer radios • Future Radios: • Sense the current radio frequency spectrum environment & adapt • Follow policy and configuration constraints • Self-configure • Are configured to mission needs • Use distributed collaboration • Implement secure related properties

  3. Questions to the Panel • (1) What are the immediate and long-term research questions in wireless radio networks posed by academia, industry, and government? These may include the technologies to implement advanced radios, the design processes we use, or the integration of multiple technologies. In essence, what don't we know how to do today to build future wireless radio networks? • (2) What are the educational needs to answer the questions raised in (1)? That is, how might we change the "entry-level wireless network engineer" curriculum, graduate curriculum, and how might we provide continuing education to "experienced wireless network engineers"? What are our educational needs? • (3) What research infrastructure support is required to answer the questions in (1) and educate the engineers in (2)? How might we obtain and organize, as a community, the necessary support?

  4. FR Research Questions • How does a richly mobile wireless network affect the architecture, design, and implementation of a global internet? How do local resource allocation algorithms, say the allocation of RF spectrum resources, interact with fixed infrastructure resource allocation? • How does one reliably sense the radio spectrum environment? How does one detect weak signals with constrained processing capacity? How does one use measurements to set the operating parameters of the radio? How does one reliably exchange measurement information with peers? • How does one express regulatory and operational policies? How are policies securely updated? What method does one use to interpret policies? How are policies affected by different market models, e.g. property based, unlicensed, or brokered? • What language should be used to describe radio module capabilities? What radio interface should be presented to the application? How does one derive a common application interface from a specific module description?

  5. FR Research Questions • How does one quantify mission requirements? How does one describe the capabilities of radio software modules? What techniques effectively translate from mission requirements to a radio configuration? • Given all the information available to a radio, how are operating settings derived? • How do multiple radios collaborate? What information is exchanged and what protocols are used? How are setting changes coordinated across the wireless networks? • How are each of these adaptive techniques secured against intruders?

  6. Impact of FR Research • FRs measure and react to the environment they are operating in; this environment is multi-dimensional, including cooperative and non-cooperative emitters => FR adaptive algorithms are applicable to large-scale dynamic networks • Radio links, by their very nature, have intermittent outages and FRs must deal with these very short term link outages to build robust communications services => the techniques to implement robust services on unreliable links is important in large-scale dynamic networks • FRs, as they adapt, communicate their observations and operation state to other FRs in the network => the languages developed for FR networks provide a rich resource for large-scale dynamic networks • Radio spectrum is a distributed resource => distributed algorithms for the allocation of radio resource are applicable to resources allocation in large-scale dynamic networks

  7. FR Technology Roadmap

  8. FR Education Needs • Undergraduate and Graduate curriculum • Example course syllabuses • Common experimental platforms • Coherent text set • Student experience in industry and government • Medium and large scale experimental facilities • Support • Experienced Engineers • Appropriate course material • Support (time-off, flexible schedules, tuition, technical visits, …) • Pertinent research questions • Access to experimental facilities

  9. Spectrum Server Example FR Research Infrastructure Lucent/WINLAB Cognitive Radio KU Agile Radio Rice “WARP” board GNU Software Radio Anechoic Chamber(s) With Stimulus and Measurement Facilities Advanced FR Demonstration Sites Common Experimental Platforms

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