PERFORMANCE ANALYSIS OF AD HOC NETWORKS IN WIRELESS CHANNELS (original) (raw)
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Annals of Telecommunications, 2020
Cognitive radio (CR) is a hopeful technology to sort out spectrum scarcity and underutilization problem in ad hoc networks. With the help of cognitive radio technology, unlicensed users can efficiently utilize the unused part of heterogeneous licensed spectrum. In this article, we present a three-dimensional (3D) Markov chain analysis for spectrum management scheme under heterogeneous licensed bands of two different licensed spectrum pools in cognitive radio ad hoc networks. We present the concept of interpool and intrapool spectrum handoff in the proposed model and derive blocking probability, dropping probability, non-completion probability, and throughput to estimate the performance of the secondary users under heterogeneous licensed spectrum environment. The impact of secondary users dynamic along with the primary users' activity model on the performance measuring metrics in terms of blocking probability, dropping probability, non-completion probability, and throughput for three different cases is also investigated. The proposed model offers significant improvement in the performance of secondary users under heterogeneous licensed spectrum environment in a CR ad hoc network.
Frequency of Dynamic Spectrum Using Cognitive Radio in Wireless Ad-Hoc Networks
South Asian Journal of Engineering and Technology (SAJET), 2019
The users may use cognitive radio frequency (CR) in wireless communication systems which senses the radio frequency for data and message communication. The modern investigate gives the issues related to spectrum utilization is a function of time and space calls for dynamic access strategies that adapt to the electromagnetic environment. The usage of free spectrum sharing between primary users (licensed) and secondary users, being license-exempted and has been incontestable within the recent experimental trails supported TV whitespace networks. The technique of dynamically accessing unused spectrum victimization Dynamic Spectrum Access (DSA) is gaining momentum. Many experimental trails on dynamic spectrum networks are being disbursed within the TV-band spectrum to check the technology and enact rules. During this work, a summary of psychological feature radio i.e. spectrum sensing, spectrum sharing, spectrum management and spectrum quality square measure mentioned. This work can explore the dynamic spectrum technologies as a precursor to full-fledged psychological feature radio networks.
Opportunistic Spectrum Access in Cognitive Radio Ad Hoc Networks
International Journal of Computer Science Issues, 2014
Cognitive Radio (CR) technology is envisaged to solve the problems in wireless networks resulting from the limited available spectrum and the inefficiency in the spectrum usage by exploiting the existing wireless spectrum opportunistically. CR networks, equipped with the intrinsic capabilities of the cognitive radio, will provide an ultimate spectrum aware communication paradigm in wireless communications. Such networks, however, impose unique challenges due to the high fluctuation in the available spectrum as well as diverse Quality-of-Service (QoS) requirements. Specifically, in Cognitive Radio Ad Hoc Networks (CRAHNs), the distributed multi-hop architecture, the dynamic network topology, and the time and location varying spectrum availability are some of the key distinguishing factors. In this paper, current research challenges of the CRAHNs are presented. First, spectrum management functionalities such as spectrum sensing, spectrum sharing, and spectrum decision, and spectrum mobility are introduced from the viewpoint of a network requiring distributed coordination. Moreover, the influence of these functions on the performance of the upper layer protocols are investigated and open research issues in these areas are also outlined. Finally, the proposed tools, and best simulator to solve research challenges in spectrum management are explained. This gives an insight in choosing the suitable tool, and the suitable simulator that fit for solving different challenges.
A Study and Analysis of Dynamic Spectrum Networks Using Cognitive Radio in Wireless Ad-Hoc Networks
International Journal of Computer Science And Technology, 2015
In wireless Ad-Hoc Networks, the users may use Cognitive Radio Frequency (CR) which senses the radio frequency for data and message communication. The modern investigate despise that the most appropriate to tackle the issues related to spectrum utilization is a function of time and space calls for dynamic access strategies that adapt to the electromagnetic environment. The spectrum regulative committees are taking measurable steps with regards to birth down the principles and implementing them, which is able to open the doors to dynamic spectrum network technologies supported psychological feature radio. The usage of free spectrum sharing between primary users (licensed) and secondary users, being license-exempted and has been incontestable within the recent experimental trails supported TV whitespace networks. The technique of dynamically accessing unused spectrum victimization Dynamic Spectrum Access (DSA) is gaining momentum. Many experimental trails on dynamic spectrum networks are being disbursed within the TV-band spectrum to check the technology and enact rules. During this paper, a summary of psychological feature radio i.e. spectrum sensing, spectrum sharing, spectrum management and spectrum quality square measure mentioned. This paper can explore the dynamic spectrum technologies as a precursor to full-fledged psychological feature radio networks.
Throughput Analysis of Spectrum in Cognitive Radio Ad Hoc Network
2013
Cognitive Radio Ad Hoc Network (CRAHN) is a self-organized temporary network in which unlicensed users can access the spectrum of Primary Users in Primary Network during ideal time period of Primary Users. For this environment spectrum sensing sharing, management have important role to efficient use of spectrum. Due to this Quality of Service (QoS) analysis of spectrum is essential. In this paper we analyzed the performance of Spectrum in term of Throughput.