Analyzing Multi-Antenna Wireless Systems: Distribution Functions, Integral Identities, and Performance Metrics
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F62690094%3A18450%2F25%3A50022462" target="_blank" >RIV/62690094:18450/25:50022462 - isvavai.cz</a>
Result on the web
<a href="https://ieeexplore.ieee.org/document/11050984" target="_blank" >https://ieeexplore.ieee.org/document/11050984</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TVT.2025.3583346" target="_blank" >10.1109/TVT.2025.3583346</a>
Alternative languages
Result language
angličtina
Original language name
Analyzing Multi-Antenna Wireless Systems: Distribution Functions, Integral Identities, and Performance Metrics
Original language description
This work develops a novel framework for the performance evaluation of communication systems with receive diversity, in which the probability density function (PDF) statistic is formulated as a combination of power, exponential, and confluent hypergeometric functions. First, we establish the distribution function of the signal-to-noise ratio in the context where the receiver implements maximal ratio combining. Then, we propose closed-form solutions for integral identities involving this PDF and different functions, namely, algebraic, exponential, complementary error, generalized Q, and logarithmic. We further illustrate the suitability of the proposed formulation for different practical channel models, namely, shadowed κ-μ, extended ημ, and shadowed Beaulieu-Xie. In this context, we also derive various physical and data-link layer metrics, such as outage probability, average symbol error probability, optimal rate adaptation capacity, channel inversion with fixed rate capacity, and effective capacity, considering these practical fading models and different types of additive noises, including generalized Gaussian noise, Gaussian noise, Laplacian noise, and Gamma noise. Asymptotic analysis of the said metrics and of the diversity order of the system is also presented. The analytical results are validated using simulation results for various scenarios relevant to realworld applications. © 1967-2012 IEEE.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2025
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
IEEE Transactions on Vehicular Technology
ISSN
0018-9545
e-ISSN
0018-9545
Volume of the periodical
74
Issue of the periodical within the volume
12
Country of publishing house
US - UNITED STATES
Number of pages
12
Pages from-to
18930-18941
UT code for WoS article
001641596800032
EID of the result in the Scopus database
2-s2.0-105009508596