
Proceedings Paper
Dynamic fair node spectrum allocation for ad hoc networks using random matricesFormat | Member Price | Non-Member Price |
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Paper Abstract
Dynamic Spectrum Access (DSA) is widely seen as a solution to the problem of limited spectrum, because of its ability
to adapt the operating frequency of a radio. Mobile Ad Hoc Networks (MANETs) can extend high-capacity mobile
communications over large areas where fixed and tethered-mobile systems are not available. In one use case with high
potential impact, cognitive radio employs spectrum sensing to facilitate the identification of allocated frequencies not
currently accessed by their primary users. Primary users own the rights to radiate at a specific frequency and geographic
location, while secondary users opportunistically attempt to radiate at a specific frequency when the primary user is not
using it. We populate a spatial radio environment map (REM) database with known information that can be leveraged in
an ad hoc network to facilitate fair path use of the DSA-discovered links. Utilization of high-resolution geospatial data
layers in RF propagation analysis is directly applicable. Random matrix theory (RMT) is useful in simulating network
layer usage in nodes by a Wishart adjacency matrix. We use the Dijkstra algorithm for discovering ad hoc network node
connection patterns. We present a method for analysts to dynamically allocate node-node path and link resources using
fair division. User allocation of limited resources as a function of time must be dynamic and based on system fairness
policies. The context of fair means that first available request for an asset is not envied as long as it is not yet allocated or
tasked in order to prevent cycling of the system. This solution may also save money by offering a Pareto efficient
repeatable process. We use a water fill queue algorithm to include Shapley value marginal contributions for allocation.
Paper Details
Date Published: 22 May 2015
PDF: 13 pages
Proc. SPIE 9478, Modeling and Simulation for Defense Systems and Applications X, 94780J (22 May 2015); doi: 10.1117/12.2178293
Published in SPIE Proceedings Vol. 9478:
Modeling and Simulation for Defense Systems and Applications X
Eric J. Kelmelis, Editor(s)
PDF: 13 pages
Proc. SPIE 9478, Modeling and Simulation for Defense Systems and Applications X, 94780J (22 May 2015); doi: 10.1117/12.2178293
Show Author Affiliations
Dave Chester, Harris Corp. (United States)
Jerry Sonnenberg, Harris Corp. (United States)
Jerry Sonnenberg, Harris Corp. (United States)
Published in SPIE Proceedings Vol. 9478:
Modeling and Simulation for Defense Systems and Applications X
Eric J. Kelmelis, Editor(s)
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