Joint local quantization and linear cooperation in spectrum sensing for cognitive radio networks
Abdi Mahmoudaliloo, Y., & Ristaniemi, T. (2014). Joint local quantization and linear cooperation in spectrum sensing for cognitive radio networks. IEEE transactions on signal processing, 62(17), 4349 - 4362. https://doi.org/10.1109/TSP.2014.2330803
Julkaistu sarjassa
IEEE transactions on signal processingPäivämäärä
2014Tekijänoikeudet
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—In designing cognitive radio networks (CRNs), protecting
the license holders from harmful interference while
maintaining acceptable quality-of-service (QoS) levels for the
secondary users is a challenge effectively mitigated by cooperative
spectrum sensing schemes. In this paper, cooperative spectrum
sensing in CRNs is studied as a three-phase process composed
of local sensing, reporting, and decision/data fusion. Then, a
significant tradeoff in designing the reporting phase, i.e., the
effect of the number of bits used in local sensing quantization
on the overall sensing performance is identified and formulated.
In addition, a novel approach is proposed to jointly optimize
the linear soft-combining scheme at the fusion phase with the
number of quantization bits used by each sensing node at the
reporting phase. The proposed optimization is represented using
the conventional false alarm and missed detection probabilities,
in the form of a mixed-integer nonlinear programming (MINLP)
problem. The solution is developed as a branch-and-bound
procedure based on convex hull relaxation, and a low-complexity
suboptimal approach is also provided. Finally, the performance
improvement associated with the proposed joint optimization
scheme, which is due to better exploitation of spatial/user
diversities in CRNs, is demonstrated by a set of illustrative
simulation results.
...
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Institute of Electrical and Electronics EngineersISSN Hae Julkaisufoorumista
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