Exploiting Channel State Information in Slotted ALOHA With SINR Capture
In this paper, the authors consider a channel-aware ALOHA network in which users have the knowledge of their own Channel State Information (CSI) and exploit this decentralized CSI by utilizing CSI-based transmission schemes. The system throughput is investigated with multi-region transmission schemes under the Signal-to-Interference-plus-Noise Ratio (SINR) capture model. They discover that the two-region transmission scheme performs well enough for maximizing the throughput. The traditional slotted ALOHA is a type of random access proposed in the 1970s, providing the first demonstration of a wireless data network.