296 research outputs found
Recommended from our members
Performance analysis of energy detector over generalised wireless channels in cognitive radio
This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University London.This thesis extensively analyses the performance of an energy detector which is
widely employed to perform spectrum sensing in cognitive radio over different generalised
channel models. In this analysis, both the average probability of detection and
the average area under the receiver operating characteristic curve (AUC) are derived
using the probability density function of the received instantaneous signal to noise
ratio (SNR). The performance of energy detector over an Ε --- Β΅ fading, which is used
to model the Non-line-of-sight (NLoS) communication scenarios is provided. Then,
the behaviour of the energy detector over ΠΊ --- Β΅ shadowed fading channel, which is
a composite of generalized multipath/shadowing fading channel to model the lineof-
sight (LoS) communication medium is investigated. The analysis of the energy
detector over both Ε --- Β΅ and ΠΊ --- Β΅ shadowed fading channels are then extended to
include maximal ratio combining (MRC), square law combining (SLC) and square
law selection (SLS) with independent and non-identically (i:n:d) diversity branches.
To overcome the problem of mathematical intractability in analysing the energy
detector over i:n:d composite fading channels with MRC and selection combining
(SC), two different unified statistical properties models for the sum and the maximum
of mixture gamma (MG) variates are derived. The first model is limited by the value
of the shadowing severity index, which should be an integer number and has been
employed to study the performance of energy detector over composite Ξ± --- Β΅ /gamma
fading channel. This channel is proposed to represent the non-linear prorogation
environment. On the other side, the second model is general and has been utilised to
analyse the behaviour of energy detector over composite Ε --- Β΅ /gamma fading channel.
Finally, a special filter-bank transform which is called slantlet packet transform
(SPT) is developed and used to estimate the uncertain noise power. Moreover, signal
denoising based on hybrid slantlet transform (HST) is employed to reduce the noise
impact on the performance of energy detector. The combined SPT-HST approach
improves the detection capability of energy detector with 97% and reduces the total
computational complexity by nearly 19% in comparison with previously implemented
work using filter-bank transforms. The aforementioned percentages are measured at
specific SNR, number of selected samples and levels of signal decompositionMartyrs Foundatio
ΠΠ΅ΡΠΎΡΡΠ½ΠΎΡΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΎΠ±ΠΎΠ±ΡΡΠ½Π½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΌΠ½ΠΎΠ³ΠΎΠ»ΡΡΠ΅Π²ΠΎΠ³ΠΎ ΠΊΠ°Π½Π°Π»Π° SIMO ΡΠΈΡΡΠ΅ΠΌΡ Ρ Π·Π°ΠΌΠΈΡΠ°Π½ΠΈΡΠΌΠΈ ΠΈ ΠΊΠΎΡΡΠ΅Π»ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌΠΈ Π·Π°ΡΠ΅Π½Π΅Π½ΠΈΡΠΌΠΈ
Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° Π·Π°Π΄Π°ΡΠ° Π°Π½Π°Π»ΠΈΠ·Π° Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΌΠ½ΠΎΠ³ΠΎΡΠ»Π΅ΠΌΠ΅Π½ΡΠ½ΡΠΌΠΈ ΡΠΈΡΡΠ΅ΠΌΠ°ΠΌΠΈ ΡΠ²ΡΠ·ΠΈ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΌΠ½ΠΎΠ³ΠΎΠ»ΡΡΠ΅Π²ΠΎΠ³ΠΎ ΠΊΠ°Π½Π°Π»Π° ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ ΡΠΈΠ³Π½Π°Π»Π°. ΠΠ»Ρ ΠΎΠ±ΠΎΠ±ΡΠ΅Π½ΠΈΡ ΡΡΡΠ΅ΠΊΡΠΎΠ² ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ Π±ΡΠ»Π° Π²ΡΠ±ΡΠ°Π½Π° ΠΌΠΎΠ΄Π΅Π»Ρ ΠΊΠ°Π½Π°Π»Π° ΞΊβΞΌ Ρ ΠΊΠΎΡΡΠ΅Π»ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌΠΈ Π·Π°ΡΠ΅Π½Π΅Π½ΠΈΡΠΌΠΈ, Π° Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΠΎΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ ΠΌΠ½ΠΎΠ³ΠΎΡΠ»Π΅ΠΌΠ΅Π½ΡΠ½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ β SIMO ΡΠΈΡΡΠ΅ΠΌΠ°, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡΡΠ°Ρ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ-Π²Π·Π²Π΅ΡΠ΅Π½Π½ΠΎΠ΅ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΈΠ³Π½Π°Π»Π° Π½Π° ΠΏΡΠΈΡΠΌΠ½ΠΎΠΉ ΡΡΠΎΡΠΎΠ½Π΅. ΠΠ»Ρ ΠΎΠΏΠΈΡΠ°Π½ΠΈΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΡΡ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΡΠ°ΡΠΈΡΡΠΈΠΊ Π²ΡΡΡΠ΅Π³ΠΎ ΠΏΠΎΡΡΠ΄ΠΊΠ° ΡΡΠ³ΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠΎΠΏΡΡΠΊΠ½ΠΎΠΉ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ. Π ΡΠ°ΠΌΠΊΠ°Ρ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ»ΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π²ΡΡΠ°ΠΆΠ΅Π½ΠΈΡ Π΄Π»Ρ ΡΡΠ°ΡΠΈΡΡΠΈΠΊ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ»ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡΡΠ΄ΠΊΠ° Π΄Π»Ρ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΊΠ°Π½Π°Π»Π°. ΠΡΠΎΠ²Π΅Π΄ΡΠ½ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΏΠ΅ΡΠ²ΡΡ
ΡΠ΅ΡΡΡΡΡ
ΡΡΠ°ΡΠΈΡΡΠΈΠΊ (ΡΡΠ³ΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠΎΠΏΡΡΠΊΠ½ΠΎΠΉ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ, Π²Π΅Π»ΠΈΡΠΈΠ½Ρ Π½Π°Π΄ΡΠΆΠ½ΠΎΡΡΠΈ, ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠΎΠ² Π°ΡΠΈΠΌΠΌΠ΅ΡΡΠΈΠΈ ΠΈ ΡΠΊΡΡΠ΅ΡΡΠ°) Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΠΊΠ°Π½Π°Π»Π° (ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π° ΠΌΠ½ΠΎΠ³ΠΎΠΏΡΡΠ΅Π²ΡΡ
ΠΊΠ»Π°ΡΡΠ΅ΡΠΎΠ² ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ, Π΄ΠΎΠ»ΠΈ ΠΌΠΎΡΠ½ΠΎΡΡΠΈ, ΠΏΡΠΈΡ
ΠΎΠ΄ΡΡΠ΅ΠΉΡΡ Π½Π° Π΄ΠΎΠΌΠΈΠ½Π°Π½ΡΠ½ΡΠ΅ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΡ, ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π·Π°ΡΠ΅Π½Π΅Π½ΠΈΡ Π΄ΠΎΠΌΠΈΠ½Π°Π½ΡΠ½ΡΡ
ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ ΠΈ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠ° ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ Π·Π°ΡΠ΅Π½Π΅Π½ΠΈΠΉ). Π ΡΠ°ΠΌΠΊΠ°Ρ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ»ΠΈ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ 4 ΡΠΈΡΡΠ°ΡΠΈΠΈ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΊΠ°Π½Π°Π»Π°, ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ ΡΠ°Π·Π»ΠΈΡΠ°ΡΡΠΈΠ΅ΡΡ ΠΏΠΎ ΡΠ²ΠΎΠΈΠΌ ΡΠ²ΠΎΠΉΡΡΠ²Π°ΠΌ. ΠΡΠΌΠ΅ΡΠ΅Π½ΠΎ, ΡΡΠΎ Π² ΠΎΡΠ»ΠΈΡΠΈΠ΅ ΠΎΡ ΠΏΡΠΎΠΏΡΡΠΊΠ½ΠΎΠΉ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ, ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ Π²ΡΡΡΠ΅Π³ΠΎ ΠΏΠΎΡΡΠ΄ΠΊΠ° ΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡΡΡ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ Π±ΠΎΠ»Π΅Π΅ ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΡΠΌΠΈ ΠΊ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌ ΠΊΠ°Π½Π°Π»Π° ΠΈ, ΠΊΠ°ΠΊ ΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠ΅, ΡΠ²Π»ΡΡΡΡΡ Π±ΠΎΠ»Π΅Π΅ Π·Π½Π°ΡΠΈΠΌΡΠΌΠΈ ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΎΡΠ°ΠΌΠΈ ΡΠ»ΡΠΊΡΡΠ°ΡΠΈΠΈ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π² ΠΊΠ°Π½Π°Π»Π΅ ΡΠ²ΡΠ·ΠΈ. ΠΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΎ Π½Π°Π»ΠΈΡΠΈΠ΅ ΡΡΠΊΠΎ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΠ³ΠΎ ΡΠΊΡΡΡΠ΅ΠΌΡΠΌΠ° (ΠΌΠΈΠ½ΠΈΠΌΡΠΌΠ°) Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ Π½Π°Π΄ΡΠΆΠ½ΠΎΡΡΠΈ ΡΡΠ³ΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠΎΠΏΡΡΠΊΠ½ΠΎΠΉ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ ΠΎΡ ΡΡΠ΅Π΄Π½Π΅Π³ΠΎ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΡΠΈΠ³Π½Π°Π»/ΡΡΠΌ, ΡΡΠΎ Ρ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΎΡΠΊΠΈ Π·ΡΠ΅Π½ΠΈΡ Π²Π°ΠΆΠ½ΠΎ ΡΡΠΈΡΡΠ²Π°ΡΡ ΠΏΡΠΈ ΠΏΡΠ΅Π΄ΡΡΠ²Π»Π΅Π½ΠΈΠΈ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΠΉ ΠΊ Π²Π΅Π»ΠΈΡΠΈΠ½Π΅ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΡΠΈΠ³Π½Π°Π»/ΡΡΠΌ Π² ΠΊΠ°Π½Π°Π»Π΅, ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡΠ΅ΠΉ ΠΆΠ΅Π»Π°Π΅ΠΌΠΎΠ΅ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠ²ΡΠ·ΠΈ
ΠΠ΅ΡΠΎΡΡΠ½ΠΎΡΡΠ½ΡΠΉ Π°Π½Π°Π»ΠΈΠ· ΠΎΠ±ΠΎΠ±ΡΡΠ½Π½ΠΎΠΉ ΡΡΠ°ΡΠΈΡΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΌΠ½ΠΎΠ³ΠΎΠ»ΡΡΠ΅Π²ΠΎΠ³ΠΎ ΠΊΠ°Π½Π°Π»Π° SIMO ΡΠΈΡΡΠ΅ΠΌΡ Ρ Π·Π°ΠΌΠΈΡΠ°Π½ΠΈΡΠΌΠΈ ΠΈ ΠΊΠΎΡΡΠ΅Π»ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌΠΈ Π·Π°ΡΠ΅Π½Π΅Π½ΠΈΡΠΌΠΈ
The paper considers the problem of analysis of the information transmission process by multi-element communication systems in presence of a multipath signal propagation channel. To generalize the propagation effects, the model of the ΞΊβΞΌ fading channel with correlated shadowing was assumed, and the technology used for organizing a multi-element system was the SIMO system, equipped with the maximum-ration combiner of the signal on the receiving side. To describe the characteristics of the information transfer process, an approach based on the higher-order statistics of the ergodic capacity was used. Closed-form analytical expressions for arbitrary-order capacity higher-order statistics were obtained for the channel model under consideration. The behavior of the first four statistics (ergodic capacity, its reliability, skewness and kurtosis coefficients) is analyzed depending on the channel parameters (the number of multipath propagation clusters, the ratio of power of the dominant components to the total power of multipath waves, the degree of shadowing of the dominant components, and the shadowing correlation coefficient). Within the framework of the study, 4 distinct situations of the assumed channel model behavior were considered, which significantly differ in their properties. It is noted that, in contrast to the capacity, its higher-order statistics are significantly more sensitive to the channel parameters and, as a result, are more significant indicators of fluctuations in the information transfer rate within the communication channel. The existence of a pronounced extremum (minimum) of the reliability ergodic capacity dependence from the signal-to-noise ratio was established. It should be accounted for in practical applications, when the requirements of the signal-to-noise ratio that guarantees the desired communication link quality are set.Π Π°ΡΡΠΌΠΎΡΡΠ΅Π½Π° Π·Π°Π΄Π°ΡΠ° Π°Π½Π°Π»ΠΈΠ·Π° Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΌΠ½ΠΎΠ³ΠΎΡΠ»Π΅ΠΌΠ΅Π½ΡΠ½ΡΠΌΠΈ ΡΠΈΡΡΠ΅ΠΌΠ°ΠΌΠΈ ΡΠ²ΡΠ·ΠΈ Π² ΡΡΠ»ΠΎΠ²ΠΈΡΡ
ΠΌΠ½ΠΎΠ³ΠΎΠ»ΡΡΠ΅Π²ΠΎΠ³ΠΎ ΠΊΠ°Π½Π°Π»Π° ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ ΡΠΈΠ³Π½Π°Π»Π°. ΠΠ»Ρ ΠΎΠ±ΠΎΠ±ΡΠ΅Π½ΠΈΡ ΡΡΡΠ΅ΠΊΡΠΎΠ² ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ Π±ΡΠ»Π° Π²ΡΠ±ΡΠ°Π½Π° ΠΌΠΎΠ΄Π΅Π»Ρ ΠΊΠ°Π½Π°Π»Π° ΞΊβΞΌ Ρ ΠΊΠΎΡΡΠ΅Π»ΠΈΡΠΎΠ²Π°Π½Π½ΡΠΌΠΈ Π·Π°ΡΠ΅Π½Π΅Π½ΠΈΡΠΌΠΈ, Π° Π² ΠΊΠ°ΡΠ΅ΡΡΠ²Π΅ ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΠ΅ΠΌΠΎΠΉ ΡΠ΅Ρ
Π½ΠΎΠ»ΠΎΠ³ΠΈΠΈ ΠΎΡΠ³Π°Π½ΠΈΠ·Π°ΡΠΈΠΈ ΠΌΠ½ΠΎΠ³ΠΎΡΠ»Π΅ΠΌΠ΅Π½ΡΠ½ΠΎΠΉ ΡΠΈΡΡΠ΅ΠΌΡ β SIMO ΡΠΈΡΡΠ΅ΠΌΠ°, ΠΈΡΠΏΠΎΠ»ΡΠ·ΡΡΡΠ°Ρ Π΄ΠΈΡΡΠ΅ΡΠ΅Π½ΡΠΈΠ°Π»ΡΠ½ΠΎ-Π²Π·Π²Π΅ΡΠ΅Π½Π½ΠΎΠ΅ ΠΊΠΎΠΌΠ±ΠΈΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΠ΅ ΡΠΈΠ³Π½Π°Π»Π° Π½Π° ΠΏΡΠΈΡΠΌΠ½ΠΎΠΉ ΡΡΠΎΡΠΎΠ½Π΅. ΠΠ»Ρ ΠΎΠΏΠΈΡΠ°Π½ΠΈΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΠΏΡΠΎΡΠ΅ΡΡΠ° ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ ΠΈΡΠΏΠΎΠ»ΡΠ·ΠΎΠ²Π°Π»ΡΡ ΠΏΠΎΠ΄Ρ
ΠΎΠ΄ Π½Π° ΠΎΡΠ½ΠΎΠ²Π΅ ΡΡΠ°ΡΠΈΡΡΠΈΠΊ Π²ΡΡΡΠ΅Π³ΠΎ ΠΏΠΎΡΡΠ΄ΠΊΠ° ΡΡΠ³ΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠΎΠΏΡΡΠΊΠ½ΠΎΠΉ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ. Π ΡΠ°ΠΌΠΊΠ°Ρ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ»ΠΈ ΠΏΠΎΠ»ΡΡΠ΅Π½Ρ Π°Π½Π°Π»ΠΈΡΠΈΡΠ΅ΡΠΊΠΈΠ΅ Π²ΡΡΠ°ΠΆΠ΅Π½ΠΈΡ Π΄Π»Ρ ΡΡΠ°ΡΠΈΡΡΠΈΠΊ ΠΏΡΠΎΠΈΠ·Π²ΠΎΠ»ΡΠ½ΠΎΠ³ΠΎ ΠΏΠΎΡΡΠ΄ΠΊΠ° Π΄Π»Ρ ΡΠ°ΡΡΠΌΠ°ΡΡΠΈΠ²Π°Π΅ΠΌΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΊΠ°Π½Π°Π»Π°. ΠΡΠΎΠ²Π΅Π΄ΡΠ½ Π°Π½Π°Π»ΠΈΠ· ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΏΠ΅ΡΠ²ΡΡ
ΡΠ΅ΡΡΡΡΡ
ΡΡΠ°ΡΠΈΡΡΠΈΠΊ (ΡΡΠ³ΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠΎΠΏΡΡΠΊΠ½ΠΎΠΉ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ, Π²Π΅Π»ΠΈΡΠΈΠ½Ρ Π½Π°Π΄ΡΠΆΠ½ΠΎΡΡΠΈ, ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠΎΠ² Π°ΡΠΈΠΌΠΌΠ΅ΡΡΠΈΠΈ ΠΈ ΡΠΊΡΡΠ΅ΡΡΠ°) Π² Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ ΠΎΡ Ρ
Π°ΡΠ°ΠΊΡΠ΅ΡΠΈΡΡΠΈΠΊ ΠΊΠ°Π½Π°Π»Π° (ΠΊΠΎΠ»ΠΈΡΠ΅ΡΡΠ²Π° ΠΌΠ½ΠΎΠ³ΠΎΠΏΡΡΠ΅Π²ΡΡ
ΠΊΠ»Π°ΡΡΠ΅ΡΠΎΠ² ΡΠ°ΡΠΏΡΠΎΡΡΡΠ°Π½Π΅Π½ΠΈΡ, Π΄ΠΎΠ»ΠΈ ΠΌΠΎΡΠ½ΠΎΡΡΠΈ, ΠΏΡΠΈΡ
ΠΎΠ΄ΡΡΠ΅ΠΉΡΡ Π½Π° Π΄ΠΎΠΌΠΈΠ½Π°Π½ΡΠ½ΡΠ΅ ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½ΡΡ, ΡΡΠ΅ΠΏΠ΅Π½ΠΈ Π·Π°ΡΠ΅Π½Π΅Π½ΠΈΡ Π΄ΠΎΠΌΠΈΠ½Π°Π½ΡΠ½ΡΡ
ΠΊΠΎΠΌΠΏΠΎΠ½Π΅Π½Ρ ΠΈ ΠΊΠΎΡΡΡΠΈΡΠΈΠ΅Π½ΡΠ° ΠΊΠΎΡΡΠ΅Π»ΡΡΠΈΠΈ Π·Π°ΡΠ΅Π½Π΅Π½ΠΈΠΉ). Π ΡΠ°ΠΌΠΊΠ°Ρ
ΠΈΡΡΠ»Π΅Π΄ΠΎΠ²Π°Π½ΠΈΡ Π±ΡΠ»ΠΈ ΡΠ°ΡΡΠΌΠΎΡΡΠ΅Π½Ρ 4 ΡΠΈΡΡΠ°ΡΠΈΠΈ ΠΏΠΎΠ²Π΅Π΄Π΅Π½ΠΈΡ ΠΈΡΡΠ»Π΅Π΄ΡΠ΅ΠΌΠΎΠΉ ΠΌΠΎΠ΄Π΅Π»ΠΈ ΠΊΠ°Π½Π°Π»Π°, ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ ΡΠ°Π·Π»ΠΈΡΠ°ΡΡΠΈΠ΅ΡΡ ΠΏΠΎ ΡΠ²ΠΎΠΈΠΌ ΡΠ²ΠΎΠΉΡΡΠ²Π°ΠΌ. ΠΡΠΌΠ΅ΡΠ΅Π½ΠΎ, ΡΡΠΎ Π² ΠΎΡΠ»ΠΈΡΠΈΠ΅ ΠΎΡ ΠΏΡΠΎΠΏΡΡΠΊΠ½ΠΎΠΉ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ, ΡΡΠ°ΡΠΈΡΡΠΈΠΊΠΈ Π²ΡΡΡΠ΅Π³ΠΎ ΠΏΠΎΡΡΠ΄ΠΊΠ° ΠΎΠΊΠ°Π·ΡΠ²Π°ΡΡΡΡ ΡΡΡΠ΅ΡΡΠ²Π΅Π½Π½ΠΎ Π±ΠΎΠ»Π΅Π΅ ΡΡΠ²ΡΡΠ²ΠΈΡΠ΅Π»ΡΠ½ΡΠΌΠΈ ΠΊ ΠΏΠ°ΡΠ°ΠΌΠ΅ΡΡΠ°ΠΌ ΠΊΠ°Π½Π°Π»Π° ΠΈ, ΠΊΠ°ΠΊ ΡΠ»Π΅Π΄ΡΡΠ²ΠΈΠ΅, ΡΠ²Π»ΡΡΡΡΡ Π±ΠΎΠ»Π΅Π΅ Π·Π½Π°ΡΠΈΠΌΡΠΌΠΈ ΠΈΠ½Π΄ΠΈΠΊΠ°ΡΠΎΡΠ°ΠΌΠΈ ΡΠ»ΡΠΊΡΡΠ°ΡΠΈΠΈ ΡΠΊΠΎΡΠΎΡΡΠΈ ΠΏΠ΅ΡΠ΅Π΄Π°ΡΠΈ ΠΈΠ½ΡΠΎΡΠΌΠ°ΡΠΈΠΈ Π² ΠΊΠ°Π½Π°Π»Π΅ ΡΠ²ΡΠ·ΠΈ. ΠΠ±Π½Π°ΡΡΠΆΠ΅Π½ΠΎ Π½Π°Π»ΠΈΡΠΈΠ΅ ΡΡΠΊΠΎ Π²ΡΡΠ°ΠΆΠ΅Π½Π½ΠΎΠ³ΠΎ ΡΠΊΡΡΡΠ΅ΠΌΡΠΌΠ° (ΠΌΠΈΠ½ΠΈΠΌΡΠΌΠ°) Π·Π°Π²ΠΈΡΠΈΠΌΠΎΡΡΠΈ Π½Π°Π΄ΡΠΆΠ½ΠΎΡΡΠΈ ΡΡΠ³ΠΎΠ΄ΠΈΡΠ΅ΡΠΊΠΎΠΉ ΠΏΡΠΎΠΏΡΡΠΊΠ½ΠΎΠΉ ΡΠΏΠΎΡΠΎΠ±Π½ΠΎΡΡΠΈ ΠΎΡ ΡΡΠ΅Π΄Π½Π΅Π³ΠΎ ΡΠΎΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΡΠΈΠ³Π½Π°Π»/ΡΡΠΌ, ΡΡΠΎ Ρ ΠΏΡΠ°ΠΊΡΠΈΡΠ΅ΡΠΊΠΎΠΉ ΡΠΎΡΠΊΠΈ Π·ΡΠ΅Π½ΠΈΡ Π²Π°ΠΆΠ½ΠΎ ΡΡΠΈΡΡΠ²Π°ΡΡ ΠΏΡΠΈ ΠΏΡΠ΅Π΄ΡΡΠ²Π»Π΅Π½ΠΈΠΈ ΡΡΠ΅Π±ΠΎΠ²Π°Π½ΠΈΠΉ ΠΊ Π²Π΅Π»ΠΈΡΠΈΠ½Π΅ ΠΎΡΠ½ΠΎΡΠ΅Π½ΠΈΡ ΡΠΈΠ³Π½Π°Π»/ΡΡΠΌ Π² ΠΊΠ°Π½Π°Π»Π΅, ΠΎΠ±Π΅ΡΠΏΠ΅ΡΠΈΠ²Π°ΡΡΠ΅ΠΉ ΠΆΠ΅Π»Π°Π΅ΠΌΠΎΠ΅ ΠΊΠ°ΡΠ΅ΡΡΠ²ΠΎ ΡΡΠ½ΠΊΡΠΈΠΎΠ½ΠΈΡΠΎΠ²Π°Π½ΠΈΡ ΡΠΈΡΡΠ΅ΠΌΡ ΡΠ²ΡΠ·ΠΈ
Secrecy Performance Analysis of SIMO Systems over Correlated ΞΊ-Β΅ Shadowed Fading Channels
In this paper, the secrecy performance of single-input-multiple-output systems over correlated ΞΊ-ΞΌ shadowed fading channels is investigated. In particular, based on the classic Wyner's wiretap model, we derive analytical expressions for secure outage probability (SOP) and the probability of strictly positive secrecy capacity (SPSC) over correlated ΞΊ-ΞΌ shadowed fading channels. In order to further study the impact of channel parameters on the secrecy performance, novel SOP and the probability of SPSC over independent and identically distributed ΞΊ-ΞΌ shadowed fading channels are also obtained. In addition, we discuss the asymptotic expressions of the SOP and the SPSC. The match between the analytical results and simulations is excellent for all parameters under considerations. It is interesting to find that the results show that when the signal-to-noise ratio of the main channel is lower than that of the eavesdropping channel, the larger value of correlation coefficient is helpful to improve the secrecy performance and vice versa
- β¦