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In this paper, we are calculating interference weights that can be used in the estimation of interference in coexistence contexts.
Accurate estimation of interference can lead to interference avoidance by exploiting the inherent redundant infrastructure of WMN through efficient routing and low-interference path selection.
The parameter estimation of interference fringe patterns has been widely used in optical metrology, including holographic interferometry, electronic speckle pattern interferometry (ESPI) and fringe projection.
It is shown that the estimation of interference effects requires either many measurements or a realistic model of the adsorption equilibrium in mixed solutions of the analyte and the interferences.
The difference between our scheme and the busy burst concept of [15] is that we have more informative beacons that allow for more precise estimation of interference impact to other receivers.
Similar(55)
Zhou et al.'s work [6] deals with the estimation of noise plus interference power together with successive soft data estimation at each subcarrier.
The interference analysis and estimation of potential interference mitigation benefits will be based on system-level simulation results.
These results indicate clearly that improved estimation of the interference plus noise power would greatly enhance the performance of the proposed approach.
In SDSub-PIC, estimation of the interference for desired user is done without considering interference from other user group.
In the scheme, it is necessary to insert more pilot signals for initial estimation of the interference power than those just required to estimate channel coefficients, which are large overhead for systems.
Given the lack of knowledge of the interference activity, we assume a Bayesian approach that provides the optimal allocation, conditioned to periodic spectrum sensing, and estimation of the interference activity statistical parameters.
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