2018/03/06 by Mauricio C. Tomé, Tomé, Mauricio C., Pedro H. J. Nardelli +3
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Age of Information Optimization #Energy Harvesting in Wireless Networks #FOS: Electrical engineering #IoT Networks and Protocols #Signal Processing (eess.SP) #Systems and Control (eess.SY) #electronic engineering #information engineering
paper · pdf · doi:10.48550/arxiv.1803.02084
openalex publication_date 2018/03/06 · openalex created_date 2022/10/03 · openalex updated_date 2026/07/28
This paper studies a specific low-power wireless technology capable of\nreaching a long range, namely LoRa. Such a technology can be used by different\napplications in cities involving many transmitting devices while requiring\nloose communication constrains. We focus on electricity grids, where LoRa\nend-devices are smart-meters that send the average power demanded by their\nrespective households during a given period. The successfully decoded data by\nthe LoRa gateway are used by an aggregator to reconstruct the daily households'\nprofiles. We show how the interference from concurrent transmissions from both\nLoRa and non-LoRa devices negatively affect the communication outage\nprobability and the link effective bit-rate. Besides, we use actual electricity\nconsumption data to compare time-based and event-based sampling strategies,\nshowing the advantages of the latter. We then employ this analysis to assess\nthe gateway range that achieves an average outage probability that leads to a\nsignal reconstruction with a given requirement. We also discuss that, although\nthe proposed analysis focuses on electricity metering, it can be easily\nextended to any other smart city application with similar requirements, like\nwater metering or traffic monitoring.\n