Solutions for optimum spectrum access, utilization, and managing large-scale, ad hoc, dynamic networks.
Large-scale, ad hoc-network management is too complex for human planning because the possibilities scale as N2.
Varying membership.Spectrum access with conventional, static frequency planning is not possible.
Changing extent.
Unpredictable net topology.
Varying demand for services.
Insufficient spectrum.
Link conditions known only to net members.
Fixed spectrum assignments are inefficient.
Spectrum allocations vary by country.
Unable to take advantages of opportunities in time, frequency, geography.
Using this framework, we have formally defined and solved the technical optimization problems of agile links and intersymbol interference (ISI). Our solutions provide templates for creating and evaluating sub-optimal, but fast and efficient, algorithmic approximations suitable for implementation in existing software radios. The benefits of our approach include formal mathematical structures for organizing, defining and attacking the engineering challenges of optimal agile communications and ad hoc networking. The initial designs suggested by this framework are surprisingly straightforward, numerically efficient, and extremely agile, when confronted by a statistically non-stationary, wideband channel. Our approach is easily implemented and requires no measurements other than the received signals. It is backward compatible with legacy systems. Our methods address several of the concerns raised by the Defense Science Board and the Congressional Budget Office (and others) about the challenges of providing sufficient network throughput in currently funded military radio programs.
An order of magnitude increase in wireless capacity.
Interference free communications.
A greatly reduced planning burden for deployable networks.
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