2017/11/01 by Meysam Masoudi, Amin Azari, Masoudi, Meysam +5
Computer Science · Engineering · #Advanced MIMO Systems Optimization #Age of Information Optimization #FOS: Computer and information sciences #Information Theory (cs.IT) #IoT Networks and Protocols
paper · pdf · doi:10.48550/arxiv.1711.00581
openalex publication_date 2017/11/01 · openalex created_date 2022/09/26 · openalex updated_date 2026/07/28
IoT networks with grant-free radio access, like SigFox and LoRa, offer\nlow-cost durable communications over unlicensed band. These networks are\nbecoming more and more popular due to the ever-increasing need for ultra\ndurable, in terms of battery lifetime, IoT networks. Most studies evaluate the\nsystem performance assuming single radio access technology deployment. In this\npaper, we study the impact of coexisting competing radio access technologies on\nthe system performance. Considering mathpzc K technologies, defined by time\nand frequency activity factors, bandwidth, and power, which share a set of\nradio resources, we derive closed-form expressions for the successful\ntransmission probability, expected battery lifetime, and experienced delay as a\nfunction of distance to the serving access point. Our analytical model, which\nis validated by simulation results, provides a tool to evaluate the coexistence\nscenarios and analyze how introduction of a new coexisting technology may\ndegrade the system performance in terms of success probability and battery\nlifetime. We further investigate solutions in which this destructive effect\ncould be compensated, e.g., by densifying the network to a certain extent and\nutilizing joint reception.\n