Performance Enhancement of Dynamic Spectrum Access via Channel Reservation for Cognitive Radio Networks

In cognitive radio networks models, quality of service (QoS) of primary users (PUs) must be assured. Dynamic spectrum access is a paradigm by which a radio system adjusts dynamically the use of convenient spectrum holes. In this paper, a secondary user reserved channel (SU-RC) model is proposed. SU-RC model introduces the use of a new SU reserved channel infrastructure to enhance QoS of SUs. Furthermore, SU-RC improves the efficiency of network by reducing the blocking probability and the forced termination probability of SUs. The proposed algorithm is significantly adaptable by deducing the optimal number of reservation channels. A reasonable balance between the success probability of channel selection and average number of channel switching is accomplished. Furthermore, this algorithm demonstrates the impact of PU’s interference either behind or inside influenced region on SUs. Simulation results show that, by applying the SU-RC algorithm with a preferable number of reservation channels, the number of channel switching is still very close to that of the network without external SU-reserved channel. For example, for the case if SU is inside the PU’s influenced region, when $$\lambda_{p } = 20$$ , $$P_{f} = 0.05$$ has constant the optimal number of reservation channels $$n_{opt } = 2$$ for both cases either with or without the existence of reserved channel. Furthermore, since $$\lambda_{p } = 10$$ , $$P_{m} = 0.05$$ , the average number of channel switching $$\overline{ S} \left( t \right)$$ is equal to 1.005 in case of without existence of the external reserved channel whereas $$\overline{ S} \left( t \right)$$ is approximate 1.0275 which is regarded an in considerable increase of $$\overline{ S} \left( t \right)$$ is about 0.0225.

[1]  Haythem Bany Salameh,et al.  Quality- and availability-aware spectrum sharing for improved packet delivery in spectrum-agile networks , 2012, 2012 IEEE Wireless Communications and Networking Conference (WCNC).

[2]  Bin Guo,et al.  Hidden Markov and Markov switching model for primary user channel state prediction in cognitive radio , 2014, The 2014 2nd International Conference on Systems and Informatics (ICSAI 2014).

[3]  Muhammed Enes Bayrakdar,et al.  Performance Analysis of a New MAC Protocol for Wireless Cognitive Radio Networks , 2019, Wirel. Pers. Commun..

[4]  Ke Zhang,et al.  Dynamic spectrum access for cognitive radio networks based on reservation channels , 2011, 2011 IEEE 13th International Conference on Communication Technology.

[5]  Yunnan Wu,et al.  KNOWS: Cognitive Radio Networks Over White Spaces , 2007, 2007 2nd IEEE International Symposium on New Frontiers in Dynamic Spectrum Access Networks.

[6]  Ehab F. Badran,et al.  Performance analysis of centralized dynamic spectrum access via channel reservation mechanism in cognitive radio networks , 2020 .

[7]  E. Saraniya,et al.  Performance optimization of cognitive radio with wideband spectrum sensing , 2014, International Conference on Information Communication and Embedded Systems (ICICES2014).

[8]  Chien-Chung Shen,et al.  On Random Dynamic Spectrum Access for Cognitive Radio Networks , 2010, 2010 IEEE Global Telecommunications Conference GLOBECOM 2010.

[9]  Muhammed Enes Bayrakdar,et al.  Artificial bee colony-based spectrum handoff algorithm in wireless cognitive radio networks , 2018, Int. J. Commun. Syst..

[10]  Jing Xu,et al.  A survey on dynamic spectrum access protocols for distributed cognitive wireless networks , 2012, EURASIP Journal on Wireless Communications and Networking.

[11]  Frank Y. Li,et al.  Dynamic Spectrum Reservation for CR Networks in the Presence of Channel Failures: Channel Allocation and Reliability Analysis , 2018, IEEE Transactions on Wireless Communications.

[12]  Rajiv Misra,et al.  On k-channel connectivity in cognitive radio networks through channel assignment , 2017 .

[13]  Ian F. Akyildiz,et al.  Cooperative spectrum sensing in cognitive radio networks: A survey , 2011, Phys. Commun..

[14]  Chien-Chung Shen,et al.  Performance Analysis of a Control-Free Dynamic Spectrum Access Scheme , 2011, IEEE Transactions on Wireless Communications.

[15]  Ehab F. Badran,et al.  Performance enhancement of steady-state Markov analysis for cognitive radio networks via channel reservation , 2017 .

[16]  Jaime Lloret,et al.  Adaptive video streaming testbed design for performance study and assessment of QoE , 2018, Int. J. Commun. Syst..

[17]  Ehab F. Badran,et al.  Centralized Dynamic Channel Reservation Mechanism via SDN for CR Networks Spectrum Allocation , 2020, IEEE Access.