Satellite SDR Gateway for M2M and IoT applications

Gavrilă, Cristinel; Alexandru, Marian; Popescu, Vlad; Sacchi, Claudio; Giusto, Daniele D.

doi:10.1109/aero.2019.8741705

Cited by 5 publications

(4 citation statements)

References 31 publications

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“…The height and coverage radius of satellites are set to 1000 km. Referring to [35] and [36], we set the satellite communication capacity X s and gateway communication capacity Y g to 100 Mbps and 500 Mbps respectively. As for CPU configurations, we set the compress cycle ξ of CPU to 1000 cycles/bit [37], and the energy cost of CPU κf 2 s is set to 3×10 −10 J/cycle [38].The satellite computing capacity Z s and gateway computing capacity Q g are respectively set to 10 10 cycles/s and 5×10 10 cycles/s, scilicet 10 7 bits/s and 5×10 7 bits/s.…”

Section: Simulation Resultsmentioning

confidence: 99%

Latency and Energy Optimization for MEC Enhanced SAT-IoT Networks

Cui

et al. 2020

IEEE Access

129

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Mobile edge computing (MEC) enhanced satellite based internet of things (SAT-IoT) is an important complement for terrestrial networks based IoT, especially for the remote and depopulated areas. For MEC enhanced SAT-IoT networks with multiple satellites and multiple satellite gateways, the coupled user association, offloading decision, computing and communication resource allocation should be jointly optimized to minimize the latency and energy cost. In this paper, the latency and energy optimization for MEC enhanced SAT-IoT networks are formulated as a dynamic mixed-integer programming problem, which is hard to obtain the optimal solutions. To tackle this problem, we decompose the complex problem into two sub-problems. The first one is computing and communication resource allocation with fixed user association and offloading decision, and the second one is joint user association and offloading with optimal resource allocation. For the sub-problem of resource allocation, the optimal solution is proven to be obtained based on Lagrange multiplier method. And then, the second sub-problem is further formulated as a Markov decision process (MDP), and a joint user association and offloading decision with optimal resource allocation (JUAOD-ORA) is proposed based on deep reinforcement learning (DRL). Simulation results show that the proposed approach can achieve better long-term reward in terms of latency and energy cost. INDEX TERMS Latency and energy optimization, MEC, SAT-IoT, deep reinforcement learning.

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Section: Simulation Resultsmentioning

confidence: 99%

Latency and Energy Optimization for MEC Enhanced SAT-IoT Networks

Cui

et al. 2020

IEEE Access

129

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“…Starting from an initial comparative study, extended with our own considerations we concluded in [7] that the most suitable uplink radio interface for the use of M2M and IoT applications would be S-MIM (S -Band Interactive Mobile Multimedia). The E-SSA access mechanism offers the highest MAC throughput and robustness to power imbalance, while allowing for full-time asynchronous packet transmission over time and the lowest EIRP requirements.…”

Section: ) Uplinkmentioning

confidence: 99%

“…For the downlink, based on our initial requirements analysis [5] the most suitable radio interface would be DVB-S2 [34]. Following the study of the specific standard, we came to the conclusion that DVB-S2X would be even more suitable to M2M/IoT message forwarding requirements [7]. DVB-S2X is an extension of DVB-S2 specifications that promotes additional technologies and features.…”

Section: ) Downlinkmentioning

confidence: 99%

“…The paper can be regarded as an evolution of three prior papers, in particular [5], [6], and [7]. These papers presented in sequence: the initial proposed architecture [5], the implementation of the terrestrial interface [6] and part of the implementation of the satellite interface [7]. This work presents, together with the complete implementation of the IoRT gateway, the performed tests for the terrestrial and the satellite interfaces, the overall tests and the final results of the entire project.…”

Section: Introductionmentioning

confidence: 99%

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An SDR-Based Satellite Gateway for Internet of Remote Things (IoRT) Applications

et al. 2020

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Internet-of-Things (IoT) represents a breakthrough for the current ICT market. In many IoT applications, sensors and actuators are distributed over very wide areas, sometimes not reached by terrestrial networks. In such scenarios, the satellite plays a significant role. In this paper, a Software-Defined Radio (SDR) -based satellite gateway for Internet-of-Remote-Things (IoRT) is proposed. The use of SDR allows to decrease equipment cost and provides higher flexibility. The proposed architecture has been implemented by using a standalone SDR platform and Commercial Off-The-Shelf (COTS) modules for covering the main terrestrial IoT standards. Extensive proof-of-concept results are presented and discussed. Uplink and downlink tests showed the correct functionality implementation and transmitted signal generation, while the integration tests allowed to assess the reliability of the end-to-end information processing. Reconfigurability tests confirmed the capability of the gateway of dynamically updating in real-time its protocol settings. The overall test results showed the validity of the proposed SDR-based gateway for IoRT applications.INDEX TERMS Internet of Remote Things (IoRT), Satellite Networking, Software-Defined Radio (SDR)

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