2017/09/05 by Elisabeth de Carvalho, de Carvalho, Elisabeth, Emil Björnson +7
Engineering · #Advanced MIMO Systems Optimization #Energy Harvesting in Wireless Networks #FOS: Computer and information sciences #Information Theory (cs.IT) #IoT Networks and Protocols
paper · pdf · doi:10.48550/arxiv.1709.01347
openalex publication_date 2017/09/05 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28
A massive MIMO system, represented by a base station with hundreds of\nantennas, is capable of spatially multiplexing many devices and thus naturally\nsuited to serve dense crowds of wireless devices in emerging applications, such\nas machine-type communications. Crowd scenarios pose new challenges in the\npilot-based acquisition of channel state information and call for pilot access\nprotocols that match the intermittent pattern of device activity. A joint pilot\nassignment and data transmission protocol based on random access is proposed in\nthis paper for the uplink of a massive MIMO system. The protocol relies on the\naveraging across multiple transmission slots of the pilot collision events that\nresult from the random access process. We derive new uplink sum rate\nexpressions that take pilot collisions, intermittent device activity, and\ninterference into account. Simplified bounds are obtained and used to optimize\nthe device activation probability and pilot length. A performance analysis\nindicates how performance scales as a function of the number of antennas and\nthe transmission slot duration.\n