Keywords :
copula theory; Fluid-antenna; port selection; SIC; stochastic geometry; SWIPT; Antenna technology; Cell centers; Cell edges; Copula theory; Information and power transfers; Port selections; Simultaneous wireless information and power transfer; Stochastic geometry; Computer Science Applications; Electrical and Electronic Engineering; Applied Mathematics; Wireless communication; Interference; Performance evaluation; MIMO; 6G mobile communication; Technological innovation; Geometry; Correlation; Training
Abstract :
[en] The co-design of fluid antenna (FA) technology and simultaneous wireless information and power transfer (SWIPT) can be jointly beneficial. Specifically, SWIPT facilitates both data and energy transfer to low-power devices, while FA technology introduces a new dimension for optimizing SWIPT performance through intelligent port selection. Thus, in this work, we develop an analytical framework by employing stochastic geometry and copula theory to evaluate FA-enabled users’ performance in SWIPT networks. All users utilize successive interference cancellation and two novel port selection schemes, namely information decoding-focused (IDf) and energy harvest-focused (EHf), to leverage FAs’ liquid dimension for enhanced data or energy transfer, by considering the counterposed effects of multi-user interference. We derive closed-form expressions for signal-to-interference ratio and received signal power under correlated Nakagami-κ fading by using Student’s t copula. The developed framework assesses SWIPT performance meta-distribution of the proposed schemes and facilitates the performance evaluation of two user location-based classifications i.e., cell-center (CC) and cell-edge (CE) users. Results reveal the beneficial synergy of FAs and SWIPT, with around 29% improvement for CC and 133% for CE users compared to conventional static SWIPT communications, and highlight that the EHf scheme proves more efficient for CE users, while the IDf scheme benefits CC users.
Funding text :
This work was supported in part by the European Research Council (ERC) under the European Union\u2019s Horizon 2020 Research and Innovation Program under Grant 819819 and in part by the European Union\u2019s Horizon-Joint Undertaking (JU)-Smart Networks and Services (SNS) Research and Innovation Program under the Projects iSEE-6G and 6G-LEADER under Grant 101139291 and Grant 101192080.
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