Optimal Sensing Time Allocation for Energy Efficient Data Transmission in Amplify-Forward Cognitive Relay Assisted Netwo
In this chapter, the main goal is to enhance the energy efficient (EE) data transmission for an optimum value of sensing time in Amplify-and-forward (AF) relay assisted cognitive radio network. Performance of the system has been studied in standard opti
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Abstract In this chapter, the main goal is to enhance the energy efficient (EE) data transmission for an optimum value of sensing time in Amplify-and-forward (AF) relay assisted cognitive radio network. Performance of the system has been studied in standard optimization framework under the constraints imposed on probability of detection threshold and the limitation of total power budget. Based on the mathematical model, analytical output is shown for various system parameters like, false alarm probability, throughput and energy efficiency. Furthermore, such evaluation illustrates the existence of an optimal sensing time, which improves the energy efficiency of the system. Keywords Cognitive radio network efficiency
AF relay
Spectrum sensing
Energy
1 Introduction An insatiable demand has grown for radio frequency spectrum due to the increase in various wireless applications. So, there is an immediate requirement to combat the spectrum scarcity problem by its rational and optimal usage. The Federal Communication Commission (FCC) [1] inferred that the primary reason behind recent spectrum dearth was its inefficient utilisation rather than physical deficiency. A huge section of the ascribed spectrum either lingers idle or is scarcely utilised for S. Ghosh (&) Indian Institute of Engineering Science and Technology, Shibpur, Howrah, India e-mail: [email protected] A. Chaudhuri Dr. Sudhir Chandra Sur Degree Engineering College, Kolkata, India e-mail: [email protected] S. Ghosh Jadavpur University, Kolkata, India e-mail: [email protected] © Springer Nature Singapore Pte Ltd. 2017 S.C. Satapathy et al. (eds.), Computer Communication, Networking and Internet Security, Lecture Notes in Networks and Systems 5, DOI 10.1007/978-981-10-3226-4_18
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a significant period of time. Hence, researchers had needed to develop a new technology that involved the sharing of unexploited radio spectrum by means of dynamic and opportunistic spectrum access (DOSA) [2]. This technology is referred to as the cognitive radio Network (CRN) [3]. It is a progression of software defined system (SDR). This technology enables the unregistered secondary users (SU) to dynamically and opportunistically utilize the registered spectrum without any adverse impinge on the quality of service for each coexisting incumbent registered primary users (PU). The major objective of CRN is accomplished by spectrum sensing (SS) [4]. There are different forms of SS technique which include energy detection [5], waveform based sensing [6], wavelet based sensing [7], matched filter detection [8], cyclo-stationarity based sensing [9], multi-taper method [10] etc. However, energy efficient (EE) SS have recently gained importance in research area as sensing devices mostly work with limited energy. Previously, Huang et al. [11] explored EE type of spectrum sensing under sensing reliability constraints. Eryigit et al. [12] investigated EE spectrum sensing scheduling problem to minimize the energy consumption and to maximize data transmission t
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