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Green Cooperative Spectrum Sensing for Control Channel Design in CRN
Abstract
A software radio that is capable to be aware of the surrounding environment is termed as cognitive radio. It is a radio that changes PHY layer properties based on environment and traffic needs. Allocated users (PU) and unallocated users (SU) should coexist each other and share the spectrum to avoid interference. Coexistence between users necessitates the spectrum sensing. Multicarrier is used for channel sensing. As Orthogonal Frequency Division Multiplexing based sensing has loss in bandwidth, Filter Bank Multi Carrier based sensing is suggested as a suitable method for control channel. Interference between PU and SU are avoided by proper filtering methods. Hidden terminal problem that occurs in the network can be avoided by Cooperative Spectrum Sensing (CSS). An optimal fusion rule to improve the performance of FBMC is analyzed. Voting rule is also applied for fusion CSS under AWGN channel. Noises are added in the path to test the concept of interference to PU. Results prove the need of FBMC and sensing for the control channel design. Wastage of power is minimized in the network which defines the term of Green Sensing.
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References
Darly leon wasden, Hussein Moradi, Berrouz Farhang Boroujeny “Design and Implementation of an Underlay Control Channel For Cognitive Radios” IEEE Journal on Selected areas in Communications, vol. 30, no. 10, pp. 1875-1889, Nov. 2012.
Haythem Bany, Salameh Marwan Krunz and David Manz, “Spectrum Bonding and Aggregation with Guard-band Awareness in Cognitive Radio Networks”, IEEE Transactions on Mobile Computing, Vol.13, no.3, pp.569-581, 2014.
Lu Wang, Kaishun Wu, Jiang Xiao and Mounir Hamdi, “Harnessing Frequency Domain for Cooperative Sensing and Multi-channel Contention in CRAHNs”, IEEE Trans. On Wireless Comm., vol.13, no. 1, pp. 440-449, Jan. 2014.
Guosheng Yang, Jun Wang, Jun Luo, Oliver Yu Wen, Husheng Li,Qiang Li, and Shaoqian Li, “Cooperative Spectrum Sensing in Heterogeneous Cognitive Radio Networks Based on Normalized Energy Detection”, IEEE Transactions on vehicular technology, Vol.65,no. 3, pp.1452-1463,2016.
Ling Zhu and Xiaohui Zhao, “Robust power allocation for Orthogonal frequency division multiplexing based overlay/underlay cognitive radio network under spectrum sensing errors and channel uncertainities”, IET Communications, Vol. 10, no. 15, pp. 2010-2017, June 2016.
Ahmed M.Masri, Carla,Claudia “Common Control Channel Allocation In Cognitive Radio Networks Through UWB Communication” IEEE Journal of communication & networks, vol.14, no.6, pp.710-718,Dec. 2012.
Kaushik R.Chowdhury, Ian F.Akyildiz “OFDM- Based Common Control Channel Design for Cognitive Radio Ad Hoc Networks” IEEE transactions on mobile computing, vol.10, no.2, pp.228-238, Feb. 2011.
Brandon, Ian.F.Akyildiz,Abdullah “Efficient Recovery Control Channel Design In Cognitive Radio Ad Hoc Networks” IEEE transactions on vehicular technology vol.59, no. 9, pp. 4513-4526, Nov. 2010.
Tao Luo, Tao Jiang, Mohsen, Wen Chen “Multicarrier Modulation and Cooperative Communication in Multihop Cognitive Radio Networks”- IEEE Journal On Wireless Communications, vol. 56, no. 6, pp. 236-254 Feb. 2011.
Md. Jahidur Rahman, Xianbin Wang, Serguei “Efficient Mutual Interference Minimization and Power Allocation for OFDM Based Cognitive Radio”- IEEE Communication Society, vol. 60, no. 4, pp. 1699-1713, Jun. 2009.
Maurice Bellanger,Markku Renfors,Carlos “OFDM and FBMC Transmission Techniques: A Compatible High Performance Proposal For Broadband Power Line Communications” -IEEE 2010.
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