2010/04/06 by Sami Akın, Akin, Sami, M. Cenk Gursoy +1
Business, Management and Accounting · Computer Science · Engineering · #Advanced MIMO Systems Optimization #Advanced Queuing Theory Analysis #Cognitive Radio Networks and Spectrum Sensing #Distributed Sensor Networks and Detection Algorithms #FOS: Computer and information sciences #Information Theory (cs.IT)
paper · pdf · doi:10.48550/arxiv.1004.0907
openalex publication_date 2010/04/06 · openalex created_date 2025/10/24 · openalex updated_date 2026/07/28
In this paper, cognitive transmission under quality of service (QoS)\nconstraints is studied. In the cognitive radio channel model, it is assumed\nthat both the secondary receiver and the secondary transmitter know the channel\nfading coefficients perfectly and optimize the power adaptation policy under\ngiven constraints, depending on the channel activity of the primary users,\nwhich is determined by channel sensing performed by the secondary users. The\ntransmission rates are equal to the instantaneous channel capacity values. A\nstate transition model with four states is constructed to model this cognitive\ntransmission channel. Statistical limitations on the buffer lengths are imposed\nto take into account the QoS constraints. The maximum throughput under these\nstatistical QoS constraints is identified by finding the effective capacity of\nthe cognitive radio channel. The impact upon the effective capacity of several\nsystem parameters, including the channel sensing duration, detection threshold,\ndetection and false alarm probabilities, and QoS parameters, is investigated.\n