Cognitive radio network (CRN) and non-orthogonal multiple-access (NOMA) is a significant system in the 5G wireless communication system. However, the system is an exceptional way for the cognitive users to secure a communication from the interferences in multiple-input multiple-output (MIMO)-NOMA-based cognitive radio network. In this article, a new beamforming technique is proposed to secure an information exchange within the same cells and neighboring cells from all intervened users. The interference is caused by an imperfect spectrum sensing of the secondary users (SUs). The SUs are intended to access the primary channels. At the same time, the primary user also returns to the channel before the SUs access ends. This similar way of accessing the primary channel will cause interference between the users. Thus, we predicted that the impact of interferences would be greatly reduced by the proposed technique, and that the proposed technique would maximize the entire secrecy rate in the 5G-based cognitive radio network. The simulation result provides better evidence for the performance of the proposed technique.
The next-generation wireless network has to handle a large amount of data transmission resources which need study on new technologies like machine2 machine communication, device 2 device communication etc., the integration of social network and device 2 device communication in 5G and upcoming 6G networks poses very important challenges in various QoS parameter. This paves way for improvement of spectral and energy efficiency for a vehicular communication network. In this paper, clustering schemes and robust power control schemes are utilized to achieve the improved spectral and energy efficiency. Clustering schemes are established to form stable clusters and pricing-based algorithms are used for achieving robust power control. The two robust power control algorithms the fixed price algorithm and optimized price algorithm are analyzed. And to compromise the trade-off produced by these algorithms, a pricing-based algorithm with delayed channel state information feedback for D2D (Device-to-Device) based vehicular communication network is developed in this paper. The results obtained shows that the proposed algorithm is effective.
Mobile is a powerful data communication media through which confidential information can be exchanged. To communicate to the authorized person and network, biometric is used. In this paper, an efficient speaker recognition technique is proposed to solve the authenticity and security problem for the mobile in noisy environment. An effective feature extraction technique and two different speaker verification technique is used and compared to improve the recognition rate of the speaker in the noisy system for effective communication.
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