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It is also validated from Figure 8 which shows the distribution of transmitted packets to each user per TTI.
The article presents a theoretical analysis of the distribution of transmitted messages, an information theory interpretation of selective reporting sensing scheme and a study on the behaviour of the algorithm when the received signal is subject to fading caused by the wireless channel that links primary transmitter and cognitive radio user.
Given the distribution of transmitted optical power we can thus estimate the received optical power from (13).
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In the present investigation it is shown that based on arguments involving the duct transmission model and the Central Limit Theorem, the Gaussian distribution of transmitted power observed by numerical experiment is expected.
Simulation of other metrics such as discomfort glare, annual solar exposure, and potentially thermal discomfort, however, require algorithms and BSDF input data that more accurately model the spatial distribution of transmitted and reflected irradiance or illuminance from the sun (0.5° resolution).
The frequency distribution of transmitted genotypes differed significantly among host species (6 × 8 Fisher-Freeman-Halton test, Fisher statistic = 41.93; Monte Carlo p 0.05) (Table 2).
Similar to [18], we adopt the definition of capacity in bits per channel use to be the maximum over the distribution of the transmit signal of the mutual information between the known training symbols and the observations and the unknown transmitted signal.
Let us now consider the distribution of the number of transmitted messages.
The section starts with a concise background review, introduces the proposed cooperative sensing scheme with silence periods and analyzes the distribution of the number of transmitted messages.
1. Hypothesis H 0 Under the assumptions of identical sensors, the distribution of the number of transmitted messages (see Appendix), conditioned to H 0, is given by: f 0 m = 1 − q P q K − P 1 − q q m ∑ l = 0 m P l K − P m − l q 1 − q 2 l (15) from which the average and variance can be computed: E T | H 0 = P 2 q − 1 + K 1 − q Var T | H 0 = Kq ( 1 − q ) (16) 2.
Hypothesis H 1 Under the assumption of identical sensors, the distribution of the number of transmitted messages (see Appendix), and respective average and variance conditioned to H 1, is given by: f 1 m = 1 − v K − P v P v 1 − v m ∑ l = 0 m K − P l P m − l 1 − v v 2 l E T | H 1 = P 1 − 2 ν + Kν Var T | H 1 = Kν ( 1 − ν ) (17) .
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Justyna Jupowicz-Kozak
CEO of Professional Science Editing for Scientists @ prosciediting.com