2017/06/29 by Veljko Boljanovic, Boljanovic, Veljko, Dejan Vukobratović +5
Engineering · #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #Indoor and Outdoor Localization Technologies #Information Theory (cs.IT) #IoT Networks and Protocols
paper · pdf · doi:10.48550/arxiv.1706.09918
openalex publication_date 2017/06/29 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
Machine-type communication services in mobile cel- lular systems are\ncurrently evolving with an aim to efficiently address a massive-scale user\naccess to the system. One of the key problems in this respect is to efficiently\nidentify active users in order to allocate them resources for the subsequent\ntransmissions. In this paper, we examine two recently suggested approaches for\nuser activity detection: compressed-sensing (CS) and coded slotted ALOHA (CSA),\nand provide their comparison in terms of performance vs resource utilization.\nOur preliminary results show that CS-based approach is able to provide the\ntarget user activity detection performance with less overall system resource\nutilization. However, this comes at a price of lower energy- efficiency per\nuser, as compared to CSA-based approach.\n