Cognitive network

About: Cognitive network is a research topic. Over the lifetime, 4213 publications have been published within this topic receiving 107093 citations.

Cognitive radio communication network system and cognitive communication method

Abstract: PROBLEM TO BE SOLVED: To provide a radio communication network system which maintain end-to-end service of quality, enables a user to select a suitable radio condition in accordance with taste, situations, etc., and can reducing the burden on the network side so as to be able to cope with scale enlargement due to connection of many radio access networks. SOLUTION: In the cognitive radio communication network system, a cognitive communication terminal 5 has a cognitive terminal manager 11 which informs a cognitive network manager 9 of information related to a communication state that the communication terminal has acquired, a user's taste and context information, and which can acquire information of a communication state that the cognitive network manager 9 has. The cognitive terminal manager 11 has a reconfiguration mechanism which can change a communication condition of the cognitive communication terminal 5 by referring to information of the communication state obtained from the cognitive network manager 9. COPYRIGHT: (C)2009,JPO&INPIT

A Virtual MIMO Path-Time Code for Cognitive Ad Hoc Networks

Abstract: Cognitive radio networks (CRNs) consisting of opportunistic links greatly elevate the networking throughput per bandwidth in future wireless communications. In this letter, we show that by encoding a data packet into several coded packets and transmitting in various time slots, the end-to-end transmission in the CRN can be equivalently formulated as a physical-layer multiple-input multiple-output (MIMO) communication problem. Two coding schemes are proposed in such a virtual MIMO scenario to enhance the end-to-end communication reliability by exploiting the path diversity. The closed-form expression of the theoretical error rate analysis validates that the proposed path-time codes can significantly improve the error rate performance.

A Novel White Space Optimization Scheme Using Memory Enabled Genetic Algorithm in Cognitive Vehicular Communication

Abstract: A dedicated single short range communication link is not efficient for an inter-vehicular communication system and results into degraded performance. To address the problem, a cognitive radio site is proposed as an intelligent vehicular device to implement an inter-vehicular communication network using multiple radio access technologies. Further, the whitespace optimization at vehicular speed is achieved by the memory enabled genetic algorithm. The algorithm makes use of four cognitive radio decision variables as genes including frequency, power, data rate and modulation scheme in the chromosome structure. The performance of the proposed approach is validated against the classical genetic algorithm and particle swarm optimization algorithm. In this research, a statistical evaluation is also presented to confirm the potential of cognitive radio paradigm employing multiple radio access technologies as an option to fulfill the increasing bandwidth demand of an inter-vehicular communication system. Experimental results demonstrate the effectiveness of the approach by ensuring efficient bandwidth utilization and fulfilling varying nature of users' quality of service requirements in real time.

Cognitive wireless sensor networks for highway safety

Abstract: In this paper, we present our perspective on cognition in wireless sensor networks for highway safety applications. Cognition in the context of sensor networks deals with the ability to be aware of the environment and end-user requirements and proactively adapt to them, thus benefiting the network as a whole. An implementation of how cognition can be introduced into sensor networks in order to make it a smart one is illustrated through an experiment in this paper. Cognitive communication, cognitive components and how interaction among the various network elements in a sensor network can be improved to enhance network performance are the driving ideas behind this work.

Cognitive Radio: State of Research Domain in Next Generation Wireless Networks - A Critical Analysis

Abstract: Radio (CR) is a comparatively new technology in which problems like underutilization of spectrum and spectrum scarcity is solved based on the revolutionary ideas. Cognitive Radio allows group of users to identify and access to available spectrum resources for their optimum use. Recent studies show that most of the assigned spectrum is underutilized. On the other hand, the increasing number of wireless multimedia applications leads to a spectrum scarcity. Cognitive Radio is proposed as a promising technology to solve the imbalance between spectrum scarcity and spectrum underutilization. In Cognitive Radio, spectrum sensing is done in order to locate the unused spectrum segments. This paper show the strength and capabilities of Cognitive Radio processes and what makes it more powerful over the other competitive radio. Main focus is given on Present State of Research, Architecture and Future Scope for CR. Stress is given on Application areas, where Cognitive Radio techniques can be implemented and proved out to have upper-hand than the available Intelligence and adapting Radios.