Age of Information in Random Access Networks With Energy Harvesting

We study the age of information (AoI) in a random access network consisting of multiple source-destination pairs, where each source node is empowered by energy harvesting capability. Every source node transmits a sequence of data packets to its destination using only the harvested energy. Each data packet is encoded with finite-length codewords, characterizing the nature of short codeword transmissions in random access networks. By combining tools from bulk-service Markov chains with stochastic geometry, we derive an analytical expression for the network average AoI and obtain closed-form results in two special cases, i.e., the small and large energy buffer size scenarios. Our analysis reveals the trade-off between energy accumulation time and transmission success probability. We then optimize the network average AoI by jointly adjusting the update rate and the blocklength of the data packet. Our findings indicate that the optimal update rate should be set to one in the energy-constrained regime where the energy consumption rate exceeds the energy arrival rate. This also means if the optimal blocklength of the data packet is pre-configured, an energy buffer size supporting only one transmission is sufficient.

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Publication Details

Journal
IEEE Journal on Selected Areas in Communications
Published
2025-07-14
DOI
https://doi.org/10.1109/jsac.2025.3584549
Citations
5
Primary Topic
Age of Information Optimization
Type
article
Field-Weighted Citation Impact
7.44

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article

Age of Information in Random Access Networks With Energy Harvesting

Fangming Zhao, Howard H. Yang, Νικόλαος Παππάς, Meng Zhang
5 citations
IEEE Journal on Selected Areas in Communications
Age of Information Optimization
7.44
article

Age of Information in Random Access Networks With Energy Harvesting

Fangming Zhao, Howard H. Yang, Νικόλαος Παππάς, Meng Zhang
article en
5 citations

Abstract

We study the age of information (AoI) in a random access network consisting of multiple source-destination pairs, where each source node is empowered by energy harvesting capability. Every source node transmits a sequence of data packets to its destination using only the harvested energy. Each data packet is encoded with finite-length codewords, characterizing the nature of short codeword transmissions in random access networks. By combining tools from bulk-service Markov chains with stochastic geometry, we derive an analytical expression for the network average AoI and obtain closed-form results in two special cases, i.e., the small and large energy buffer size scenarios. Our analysis reveals the trade-off between energy accumulation time and transmission success probability. We then optimize the network average AoI by jointly adjusting the update rate and the blocklength of the data packet. Our findings indicate that the optimal update rate should be set to one in the energy-constrained regime where the energy consumption rate exceeds the energy arrival rate. This also means if the optimal blocklength of the data packet is pre-configured, an energy buffer size supporting only one transmission is sufficient.

IEEE Journal on Selected Areas in CommunicationsVol. 43(11)
Linköping University (SE), University of Illinois Urbana-Champaign (US), Zhejiang University-University of Edinburgh Institute (CN), Zhejiang University (CN)
National Natural Science Foundation of China, Svenska Forskningsrådet Formas, National Key Research and Development Program of China
Affordable and clean energy
Openalex Percentile: Top 3%
Age of Information Optimization
7.44
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