2021
DOI: 10.1016/j.phycom.2021.101293
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Power allocation and scaling law analysis for secured and energy efficient URLLC IoT networks

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Cited by 4 publications
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“…1) low-latency communications The low latency constraint in URLLC services is often formulated together with also the reliability and decoding complexity and achieved through the optimization of the transmission parameters. The optimization may focus on setting several parameters, such as: the combination of transmission rate and transmission power [44], [45], the spreading factor in LoRa networks [46] and the retransmission parameters in Automatic Repeat-reQuest (ARQ) or Hybrid ARQ (HARQ) scenarios [47]. The formulation of the mentioned constraints is found to be a major challenge in this context, especially in terms of latency that has to consider the achievable error rate [44].…”
Section: Secure and Low-latency Access In Iotmentioning
confidence: 99%
“…1) low-latency communications The low latency constraint in URLLC services is often formulated together with also the reliability and decoding complexity and achieved through the optimization of the transmission parameters. The optimization may focus on setting several parameters, such as: the combination of transmission rate and transmission power [44], [45], the spreading factor in LoRa networks [46] and the retransmission parameters in Automatic Repeat-reQuest (ARQ) or Hybrid ARQ (HARQ) scenarios [47]. The formulation of the mentioned constraints is found to be a major challenge in this context, especially in terms of latency that has to consider the achievable error rate [44].…”
Section: Secure and Low-latency Access In Iotmentioning
confidence: 99%