An Intelligent Radio Buffer-Aided Relaying Scheme With Adaptive Link Selection

Picano, Benedetta; Fantacci, R.

doi:10.1109/tvt.2021.3068119

Cited by 2 publications

(4 citation statements)

References 41 publications

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“…The optimization problem given in ( 14) is very challenging, due to the strong influence provided by terms γ b on T b values 3 , with 1 ≤ b ≤ B. Therefore, in what follows, we will focus on the minimization of terms uχ,m R m,b , by proposing a semantic communication framework that aims at the successful transmission of semantic information extracted from an image instead of a set of symbols or bits regardless of their meaning.…”

Section: Problem Formulationmentioning

confidence: 99%

“…During last decade, the emergence of these challenging aspects, alongside the ever increasing proliferation of mobile computing and Internet of Everything (IoE) devices, accordingly to which every single object on the Earth will be connected to the Internet for information exchange and communication, realizing intelligent and supervisory functions [1], has led to the need of developing seamlessly integration of systems operating in different domains, e.g., ground, air, space end even underwater [1]. Nowadays, this has generated an intense research efforts to push the artificial intelligence (AI) frontiers to the network edge regardless of the domain in which they operate [2], e.g., to perform communication channel conditions prediction [3]. This trend is in accordance with the emerging edgeintelligence (EI) paradigm which involves the use of edge B. Picano and R. Fantacci are with University of Florence, 50139 Firenze, Italy, e-mails: {benedetta.picano, romano.fantacci}@unifi.it.…”

Section: Introductionmentioning

confidence: 99%

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A Semantic-Oriented Federated Learning for Hybrid Ground–Aqua Computing Systems

Picano,

Fantacci

2024

IEEE Internet Things J.

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Nowadays, an ambitious target of the next generation networks is to develop intelligent overarching spaceair-ground-aqua computing systems, in order to provide a smart ecosystem able to efficiently operate computation in heterogeneous domains. In particular, in such a context, the underwater environment requires a special attention, since it is recognized as the most challenging domain, due to channel impairments and adverse propagation conditions. This paper proposes a self-intelligent system able to efficiently perform underwater environment monitoring or underwater survey of critical infrastructure, by resorting to the use of the semantic communication paradigm to lower the impairments due to the underwater channel propagation conditions. In particular, in our case, images sent by underwater devices are collected by shore small base stations (SSBSs) to form their training dataset to take part in a federated learning process with a ground base station. In particular, the paper considers a semantic communication scheme based on a deep-convolution neural networks encoder-decoder architecture for an efficient exploitation of the data transmission from underwater devices to the linked SSBSs. Performance analysis is provided to show the better behavior of the proposed system in comparison with the conventional alternative that does not involve the use of the semantic communications approach. Finally, a specific performance evaluation analysis is devoted to the investigation of the convergence behavior of the proposed federated learning procedure in reference to the cross groundaqua system considered in order to highlight its advantages with respect to a classical implementation.

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Section: Problem Formulationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Semantic-Oriented Federated Learning for Hybrid Ground–Aqua Computing Systems

Picano,

Fantacci

2024

IEEE Internet Things J.

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“…Basically, in buffer-aided relaying networks, the transmission link can be activated according to both the instantaneous link quality and the buffer status to realize a higher network throughput through adaptive link selection [10,21] and relay selection [22][23][24]. When exploiting bufferaided communication strategy into wireless powered cooperative networks, the network throughput can be maximized via the adaptive link/relay selection [25][26][27][28] and time/power allocation [29][30][31].…”

Section: Introductionmentioning

confidence: 99%

“…Then, the buffer-aided communication was integrated with cooperative communication system, called buffer-aided relaying, and the performance analysis in [9] demonstrated that the buffer-aided relaying can improve the capacity of two-hop networks. With the assistance of data buffer, adaptive link selection strategy was exploited in [10,21] where one link of both hops was adaptively activated based on the weighted instantaneous capacity. Then, the relay selection scheme was investigated for a bufferaided multirelay network in [22][23][24].…”

Section: Introductionmentioning

confidence: 99%

Throughput Maximization for Wireless Powered Buffer-Aided Successive Relaying Networks

Liu

Chen

Cai

2022

Wireless Communications and Mobile Computing

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In this paper, we consider a wireless powered cooperative network, where two energy-constrained buffer-aided relays harvest energy from the source to assist the information delivery to the destination. To improve the spectral efficiency, a wireless powered successive relaying (WPSR) protocol is proposed to allow both relays to receive the information from the source and forward the buffered data to the destination, taking into consideration of the inter-relay-interference (IRI). We first reveal the impact of data buffers and energy storages at the relays by the achievable throughput comparison of the WPSR scheduling schemes with and without considering data buffers and energy storages. Our analysis validates the great potential of the buffer-and-forward data transmission and the harvest-store-use energy management strategies. Then, the network throughput is maximized via adaptive time and power allocation subject to the stability constraints of data buffers and energy buffers, and an adaptive wireless powered buffer-aided successive relaying (WPBSR) scheduling scheme is proposed. The proposed scheme approaches the optimal throughput of the wireless powered successive relaying network with bounded delay and finite length of data and energy buffers. Numerical results validate the analysis and noticeable spectral efficiency gain.

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An Intelligent Radio Buffer-Aided Relaying Scheme With Adaptive Link Selection

Cited by 2 publications

References 41 publications

A Semantic-Oriented Federated Learning for Hybrid Ground–Aqua Computing Systems

A Semantic-Oriented Federated Learning for Hybrid Ground–Aqua Computing Systems

Throughput Maximization for Wireless Powered Buffer-Aided Successive Relaying Networks

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