[HTML][HTML] AI-enabled framework for mobile network experimentation leveraging ChatGPT: Case study of channel capacity calculation for η-µ fading and co-channel …

D Krstic, N Petrovic, S Suljovic, I Al-Azzoni - Electronics, 2023 - mdpi.com
Artificial intelligence has been identified as one of the main driving forces of innovation in
state-of-the-art mobile and wireless networks. It has enabled many novel usage scenarios …

Cooperative relaying in a SWIPT network: Asymptotic analysis using extreme value theory for non-identically distributed RVs

A Subhash, S Kalyani - IEEE Transactions on Communications, 2021 - ieeexplore.ieee.org
This paper derives the distribution of the maximum end-to-end (e2e) signal to noise ratio
(SNR) in an opportunistic relay selection based cooperative relaying network having a large …

Performance analysis of dynamic downlink PPP cellular networks over generalized fading channels with MRC diversity

A Al-Rimawi, J Siam, A Abdo, D Dardari - IEEE Access, 2021 - ieeexplore.ieee.org
This paper proposes novel and generalized expressions to characterize the performance of
modern cellular networks under realistic user mobility behavior. The η-μ distribution is …

Evaluating the mobility impact on the performance of heterogeneous wireless networks over η–μ fading channels

E Meesa-Ard, S Pattaramalai - IEEE Access, 2021 - ieeexplore.ieee.org
The 5G and beyond networks will intrinsically accommodate a wide range of use-case
scenarios and expand the limit of legacy mobile systems. The 5G network architecture can …

A Quantitative Analysis of Spectrum Efficiency of Various Diversity Combining Schemes in the Presence of Co-channel Interference

V Bhaskar, S Thai Subha, S Janarthanan - Wireless Personal …, 2020 - Springer
A quantitative analysis of capacity per unit bandwidth (spectrum efficiency) for various
diversity schemes, when subjected to co-channel interference (CCI), is made for different …