Minimizing Age of Information on NOMA Communication Schemes for Vehicular Communication Applications

Gómez, Jorge Torres; Morales-Céspedes, Máximo; Armada, Ana García; Hirtz, Gangolf

doi:10.1109/csndsp49049.2020.9249492

Cited by 8 publications

(2 citation statements)

References 21 publications

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“…However, the PAoI, as formulated in (3), does not consider a resource allocation mechanism for unequal channel conditions and source entropies among users [22]. To do so, we include the ratio of the source entropy, denoted as H k , to the allowable total bits per channel use, denoted as R k , yielding…”

Section: Resource Allocation Under Aoi Constraints For Satellite Comm...mentioning

confidence: 99%

Power and Bandwidth Allocation based on Age of Information metrics in Satellite Uplink Channels

Gómez

Morales-Céspedes

Shaat

et al. 2022

2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)

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Communication links over satellites allow interconnecting very distant regions to provide service where the terrestrial networks are limited. In this scenario, it is of major importance to devise mechanisms accounting for the improved freshness of packets given the impact of large distances. Their analysis is particularly important when considering the deployment of sensors in remote areas, where satellite links may introduce a high delay in the communication system. In this respect, we report the use of age of information (AoI) metrics to evaluate users' allocation mechanisms. We use power-domain non-orthogonal multiple access (NOMA) as an alternative to orthogonal multiple access (OMA) to optimally reduce the age of received packets. We derive the proper formulation to account for a fairness condition when pairing users accounting for both; the user's needs to transmit information and the allowable link rate. Comparative results are provided by numerically evaluating the solution for NOMA and OMA accounting for the peak age of information (PAoI) metric. We show that the resource allocation mechanisms in NOMA results in less PAoI (40 %) compared to OMA. We remark this result through extensive numerical simulations based on actual uplink satellite communication links accounting for 500 users.

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Section: Resource Allocation Under Aoi Constraints For Satellite Comm...mentioning

confidence: 99%

Power and Bandwidth Allocation based on Age of Information metrics in Satellite Uplink Channels

Gómez

Morales-Céspedes

Shaat

et al. 2022

2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON)

Self Cite

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“…Therefore, AoI is more significant in time‐sensitive and mission‐critical applications. Since the concept of AoI was proposed, more and more literatures 14–16 have shown interest in it. Early studies on AoI mainly improved the performance of the freshness by jointing the optimization of the update arrival process, source node, service time distribution, and packet management based on queuing theory and scheduling strategy 14,15,17–20 .…”

Section: Introductionmentioning

confidence: 99%

Age of error information and throughput for truncated and layer‐coded HARQ‐based satellite‐IoT systems

Zhao,

Jia,

Xie

et al. 2023

Int J Communication

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SummaryThe work focuses on the simultaneous improvement on the throughput and information freshness of the promising satellite‐based Internet of Things (S‐IoT). To this end, we first propose a method based on the adaptive modulation coding (AMC) and truncated layer‐coded hybrid automatic repeat request (L‐HARQ) strategies by especially considering the difference in the channel state information (CSI) between the transmitter and receiver. On account of the large signal delay of the S‐IoT systems, this paper establishes the channel model based on the correlation of the signal‐to‐noise ratio (SNR) under the outdated channel and the ideal channel. Secondly, considering the fact that the improved backtrack decoding is used in the L‐HARQ, the classical definition of age of information (AoI) is insufficient to quantify the status update freshness, we propose the age of error information (AoEI), which is defined as the elapsed time since the generation of the lastly successfully backtrack‐decoded status update. Thirdly, we characterize the statistical descriptions of the maximum wait time of the successfully recovered status updates and the interdeparture time between the two consecutive status update packets that are lastly successfully received. Then, the closed‐form expression of average AoEI is derived under the assumption of independent and identically distributed fading channels. Finally, the Markov decision process (MDP) framework is used to optimize the packet parameters in each round of L‐HARQ process under the general fading scenario. Thereby, the optimized transmission scheme that minimizes AoI with throughput constraint is solved. The simulations investigate the effect of system parameters on the average AoEI.

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A comprehensive survey on age of information in massive IoT networks

Abbas

Hassan

Qureshi

et al. 2023

Computer Communications

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Minimizing Age of Information on NOMA Communication Schemes for Vehicular Communication Applications

Cited by 8 publications

References 21 publications

Power and Bandwidth Allocation based on Age of Information metrics in Satellite Uplink Channels

Power and Bandwidth Allocation based on Age of Information metrics in Satellite Uplink Channels

Age of error information and throughput for truncated and layer‐coded HARQ‐based satellite‐IoT systems

A comprehensive survey on age of information in massive IoT networks

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