• Title/Summary/Keyword: Cognitive radio

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Continuous Control Message Exchange in Distributed Cognitive Radio Networks

  • Arega, Zerabruk G.;Kim, Bosung;Roh, Byeong-hee
    • Proceedings of the Korea Information Processing Society Conference
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    • 2014.04a
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    • pp.206-209
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    • 2014
  • Control message exchange is major job for cognitive radio to exist and use spectrum opportunistically. For this control message exchange they need a common control channel (CCC). Once this channel is affected by a primary user, communication stops until new CCC is setup. This takes substantial time and if they could not get free channel, this halt continues for long time. To prevent such cease of communication, we propose a combination of two networks, namely WLAN and UWB, to let the communication continue. In our proposed idea if the CCC of a certain CR in WLAN is affected, the CR changes its network from WLAN to UWB and keeps the communication because UWB cannot be affected by PU. In the proposed idea every cognitive radio has two transceivers; one for the overlay network (WLAN) and another UWB network. If a primary user is detected in the spectrum of a cognitive radio, it continues exchanging control messages under the UWB network and in parallel negotiates for a new CCC using the WLAN network. This idea solves the communication interruption until new CCC is setup.

A Power Allocation Algorithm Based on Variational Inequality Problem for Cognitive Radio Networks

  • Zhou, Ming-Yue;Zhao, Xiao-Hui
    • Journal of Information Processing Systems
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    • v.13 no.2
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    • pp.417-427
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    • 2017
  • Power allocation is an important factor for cognitive radio networks to achieve higher communication capacity and faster equilibrium. This paper considers power allocation problem to each cognitive user to maximize capacity of the cognitive systems subject to the constraints on the total power of each cognitive user and the interference levels of the primary user. Since this power control problem can be formulated as a mixed-integer nonlinear programming (NP) equivalent to variational inequality (VI) problem in convex polyhedron which can be transformed into complementary problem (CP), we utilize modified projection method to solve this CP problem instead of finding NP solution and give a power control allocation algorithm with a subcarrier allocation scheme. Simulation results show that the proposed algorithm performs well and effectively reduces the system power consumption with almost maximum capacity while achieve Nash equilibrium.

Enhanced Channel Access Estimation based Adaptive Control of Distributed Cognitive Radio Networks

  • Park, Jong-Hong;Chung, Jong-Moon
    • KSII Transactions on Internet and Information Systems (TIIS)
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    • v.10 no.3
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    • pp.1333-1343
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    • 2016
  • Spectrum sharing in centrally controlled cognitive radio (CR) networks has been widely studied, however, research on channel access for distributively controlled individual cognitive users has not been fully characterized. This paper conducts an analysis of random channel access of cognitive users controlled in a distributed manner in a CR network. Based on the proposed estimation method, each cognitive user can estimate the current channel condition by using its own Markov-chain model and can compute its own blocking probability, collision probability, and forced termination probability. Using the proposed scheme, CR with distributed control (CR-DC), CR devices can make self-controlled decisions based on the status estimations to adaptively control its system parameters to communicate better.

A Model to Calculate the Optimal Level of the Cognitive Radiotelegraph (무선인지기능 무전기의 적정 재고수준 산정 모형에 관한 연구)

  • Kim, Young-Mook;Choi, Kyung-Hwan;Yoon, Bong-Kyoo
    • Journal of the Korea Institute of Military Science and Technology
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    • v.15 no.4
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    • pp.442-449
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    • 2012
  • Cognitive Radio(CR) is the technology that allocates the frequency by using dynamic spectrum access. We proposed a model to calculate the optimal level of the cognitive radiotelegraph, where secondary users opportunistically share the spectrum with primary users through the spectrum sensing. When secondary user with cognitive radio detects the arrival of a primary user in its current channel, the secondary user moves to the idle channel or be placed in the virtual queue. We assume that the primary users have finite buffers and the population of secondary users is finite. Using a two-dimensional Makov model with preemptive priority queueing, we could derive the blocking and waiting probability as well as the optimal level of cognitive radiotelegraph under a various range of parameter circumstances.

Channel Scheduling for Cognitive Radio Networks (인지 무선 네트워크를 위한 채널 스케줄링기법)

  • Lee, Ju-Hyeon;Park, Hyung-Kun
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.61 no.4
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    • pp.629-631
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    • 2012
  • In Cognitive Radio network, spectrum selection scheme is one of a important part to manage idle spectrums efficiently. However, in CR networks, they have to adopt time-varying channel availability to minimize the interference to primary users (PU), and be able to manage spectrum resources efficiently. In this paper, we proposed a modified PF scheduler which can be appropriate to schedule downlink CR users and channels, by considering the fairness and the throughput as well as the primary user characteristics of each channel.

Power Control for Cognitive Radio Networks: Monotonic Optimization Approach

  • Nguyen, Tran Quang;Hong, Choong-Seon
    • Proceedings of the Korean Information Science Society Conference
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    • 2011.06a
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    • pp.344-347
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    • 2011
  • In this paper, we propose the power control problem for cognitive radio networks (CRNs) that maximizes the total utility of the secondary users (SUs). We use the interference temperature constraints to protect the primary users (PUs). The utility functions of SUs can be any increasing functions. We formulate the power control problem as monotonic optimization that can be solved in centralization to achieve the global optimum.

An Approach to maximize throughput for Energy Efficient Cognitive Radio Networks

  • Ghosh, Jyotirmoy;Koo, Insoo
    • International Journal of Advanced Culture Technology
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    • v.1 no.2
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    • pp.18-23
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    • 2013
  • In this paper, we consider the problem of designing optimal sensing time and the minimization of energy consumption in the Cognitive radio Network. Trade-off between throughput and the sensing time are observed, and the equations are derived for the optimal choice of design variables. In this paper, we also look at the optimization problem involving all the design parameters together. The advantages of the proposed scheme for the spectrum sensing and access process are shown through simulation.

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Impulse Series for UWB-Based Cognitive Radio System

  • Zhang, Weihua;Shen, Hanbing;Bai, Zhiquan;Kwak, Kyung-Sup
    • ETRI Journal
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    • v.29 no.4
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    • pp.518-520
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    • 2007
  • In this letter, we propose an impulse series for an ultra-wideband-based cognitive radio system which can utilize the spectrum dynamically by controlling the impulse positions and thus reduce the system complexity.

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COGNITIVE RADIO SPECTRUM ACCESS WITH CHANNEL PARTITIONING FOR SECONDARY HANDOVER CALLS

  • Lee, Yutae
    • Journal of applied mathematics & informatics
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    • v.33 no.1_2
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    • pp.211-217
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    • 2015
  • A dynamic spectrum access scheme with channel partitioning for secondary handover calls in cognitive radio networks is proposed to reduce forced termination probability due to spectrum handover failure. A continuous-time Markov chain method for evaluating its performance such as blocking probability, forced termination probability, and throughput is presented. Numerical and simulation results are provided to demonstrate the effectiveness of the proposed scheme with channel partitioning.

Cognitive Radio Based Resource Allocation in Femto-Cells

  • Oh, Dong-Chan;Lee, Yong-Hwan
    • Journal of Communications and Networks
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    • v.14 no.3
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    • pp.252-256
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    • 2012
  • We consider resource allocation in femto-cell networks to maximize the throughput while minimizing interference to macro-users nearby. This can be achieved by allocating spectrum resource in a cognitive radio way. The proposed resource allocation is performed in two steps; spectrum sensing and resource scheduling. The femto base station detects idle frequency assignments (FAs) free from the occupation by macro-users and then allocates sub-channels in an idle FA to femto-users, effectively managing the interference problem. Finally, the effectiveness of the proposed scheme is verified by computer simulations.