Treffer: NOMA-Cognitive Radio Network-Enabled IoT Systems with Short Packet Communications: Block Error Rate Analysis and Blocklength Optimization.

The study focuses on Internet of Things-based cognitive radio network that integrates non-orthogonal multiple access (NOMA) and short-packet communications (SPC). In this setup, an IoT network, considered a secondary network (SN), utilizes the spectrum shared by a primary cellular network with multiple primary receivers. The system is characterized by two secondary users leveraging NOMA to transmit their data to a single secondary receiver during uplink transmission. Taking into account SPC, we derive average block-error rates (BLER) of the SN for the two users. Furthermore, based on the BLER metric, the evaluation of system performance includes two distinct scenarios: the first involves primary receivers being positioned near secondary transmitters, and the second presents the primary receivers being at far from secondary transmitters. Additionally, we design a resource power budget allocation to minimize maximum blocklength for IoT users, thereby enhancing the overall transmission latency of the considered system. The proposed approach demonstrates that achieving the BLER target is feasible with a lower resource expenditure compared to the fixed power allocation scenario. [ABSTRACT FROM AUTHOR]

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