Interference Mitigation of Heterogeneous Cognitive Radio Network using Spatial Diversity
R. H. Adekar1, A. K. Kureshi2

1R. H. Adekar, Research Scholar, National Institute of Electronics & Information Technology, Dr. Babasaheb Ambedkar Marathwada University, Aurangabad, India.
2Dr. A. K. Kureshi, Professor in Department of Electronics and Telecommunication Engineering and Director, MMANTC, College of Engineering MANSOORA, Malegaon, India.
Manuscript received on November 21, 2019. | Revised Manuscript received on December 15, 2019. | Manuscript published on December 30, 2019. | PP: 3595-3601 | Volume-9 Issue-2, December, 2019. | Retrieval Number:  B4039129219/2019©BEIESP | DOI: 10.35940/ijeat.B4039.129219
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Abstract: The heterogeneous cognitive radio networks are playing the most important role in the future generation wireless networks in order to address the problem of spectrum scarcity and to satisfy the demand of multiple coexistence networks. . In a country like India the deployment of CRN is possible on television network with the help of TV White Spaces (TVWS) as its capacity is quite high due to digital transmission of TV channel. The use of multiple wireless standards such as IEEE 802.11a, IEEE 802.22, IEEE 802.19.1 and many more wireless networks operating in the same frequency band of TVWS creates the coexistence scenario which involves the heterogeneous networks. The interference mitigation is the most important issue in such heterogeneous networks. In literature, the issue of interference mitigation is addressed mainly at the medium access layer; however, very limited work is presented at physical layer. In this paper, an interference mitigation problem of heterogeneous cognitive radio network at physical layer is addressed. The spatial diversity based techniques are proposed to mitigate the interference in heterogeneous CRN. The coexistence of different wireless networks in secondary CRN is considered for analysis. The characterization of aggregate interference is carried out for different interference scenarios. The proposed system outperform for heterogeneous CRN network over TVWS network.
Keywords: Bit Error Rate (BER), Cognitive Radio Network (CRN), Heterogeneous Networks, Multiple Input Multiple Output (MIMO), TV White Space (TVWS).