Title :
Opportunistic Spectrum Sharing with Quality-of-Service Support in Cognitive Radio Networks
Author :
Xiaojun Li ; Quanzhong Li ; Kai Liu
Author_Institution :
Second Eng. Bur., China Telecom Constr. Co., Ltd., Xi´an, China
Abstract :
Opportunistic spectrum sharing (OSS) has become an effective method to fully utilize the scarce spectrum resources. In this paper, we propose an OSS scheme with quality-of-service (QoS) support for secondary users (SUs) in cognitive radio networks (CRNs). SUs are classified into the SUs with real-time traffic (RT-SUs) and the SUs with non-real-time traffic (NRT-SUs). The RT-SUs have higher terminated-priority than NRT-SUs to guarantee the QoS requirements of RT-SUs. If a primary user (PU) tries to access the channel used by an RT-SU or a NRT-SU, the RT-SU can be terminated only when there is no idle channel, while the NRT-SU has to stop its transmission. We also use a random probability function to control the channel access of the SUs so that second users can achieve different successful access probability according to their payment. In addition, we use a six-dimensional Markov approach to derive system performance in terms of forced termination probability, blocking probability and system throughput for RT-SUs and NRT-SUs with different access-priorities. Numerical results show that the proposed scheme can meet the QoS requirements of different SUs in the presence of guaranteeing the communication quality of PUs and achieve great throughput improvement compared to typical spectrum sharing schemes.
Keywords :
Markov processes; cognitive radio; probability; quality of service; radio spectrum management; 6D Markov approach; CRN; OSS scheme; QoS; access probability; blocking probability; channel access; cognitive radio networks; forced termination probability; nonreal-time traffic; opportunistic spectrum sharing; primary user; quality-of-service; random probability function; secondary users; system throughput; Analytical models; Cognitive radio; Markov processes; Nickel; Quality of service; Sensors; Time-frequency analysis; Markov approach; cognitive radio networks; opportunistic spectrum sharing; quality-of-service (QoS);
Conference_Titel :
Computational Science and Engineering (CSE), 2014 IEEE 17th International Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4799-7980-6
DOI :
10.1109/CSE.2014.258