Abstract
With the emerging of the massive Machine Type Communication usage scenario, the legacy Random Access (RA) procedures need to be fully renewed to meet the huge number of accesses and the energy-constrained device requirements. In this context, the strategy of transmitting tagged preambles as access requests is gaining importance. In fact, it can reduce the number of signaling transmissions per access attempt, the overall number of phases in the access procedure, and, accordingly, energy consumption per device. However, the effectiveness of detection strategies of tagged preambles by the gNB receiver plays a fundamental role on the RA procedure performance. Up to now, the performance of these advanced detection procedures has been obtained only by running a large number of simulations that are typically highly time-consuming. To the best of our knowledge, this paper presents the first analytical model to analyze the correct detection of both the preamble and the tag transmitted by each device in the presence of interference, due to other preambles and tags, and of noise. The high accuracy of the proposed model is verified through simulations. In addition, we show how our analytical study can be a good tool to investigate and derive innovative detection strategies.
Highlights
Mobile communication applications have shifted from basic voice telephony to empowering a wide range of verticals across various industries, most notably via the rapidly expanding popularity of smartphones, tablets, smartwatches and a massive number of new smart devices representing an integral part of our lives
Three families of usage scenarios have been defined by ITU-R for 5G networks [1]: enhanced Mobile BroadBand, that focuses on services that have high requirements for bandwidth [2], [3]; Ultra-Reliable and Low Latency Communications (URLLC), which covers services extremely sensitive to latency [4]; and, massive Machine Type Communications, that represents a large number of low-complexity and energyconstrained devices sending very short packets with relaxed delay requirement
1) As the main contribution, we present a rigorous methodology for modeling and analyzing the signal processed by the Generation NodeB (gNB) receiver at the first phase of the Random Access (RA) procedure, when tagged preamble sequences are transmitted in massive Machine Type Communications (mMTC) scenarios
Summary
Mobile communication applications have shifted from basic voice telephony to empowering a wide range of verticals across various industries, most notably via the rapidly expanding popularity of smartphones, tablets, smartwatches and a massive number of new smart devices representing an integral part of our lives. The expected improved performance for these advanced RA procedures is achieved only if the gNB receiver detector works accurately in the first phase, that is, if all and only the preamble-tag pairs transmitted by the devices are detected. In this regard, we observe that unlike the conventional preamble transmission in which all the transmitted sequences have the same root r, here the gNB receives the sum of several sequences composed of different roots.
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