Cognitive network

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

A Cross-Layer Video Multicasting Routing Protocol for Cognitive Radio Networks

Abstract: In this work we investigate the problem of video streaming in cognitive radio networks from a cognitive radio video source to a set of cognitive radio destinations using multicasting. Our objective is to improve the overall quality of the received video by all destinations. To achieve this, we propose a cross layer approach to multicast the video packets. The video source implements the proposed approach to multicast a video packet to all destinations at the same time by selecting the best unified channel of all available channels for all destinations to send the video packet on. To select the best unified channel, the source jointly considers the required transmission time of the packet and the average spectrum availability time of the available channels. Moreover, by using the proposed approach, the video source guar- antees that the required transmission time of the packet over the selected channel is less than its average spectrum availability time. We conduct simulation experiments to evaluate the performance of our proposed protocol under various network parameters. We compare our protocol with three multicast protocols. The first one selects the unified channel based on the minimum transmission time. The second one selects the unified channel based on the average spectrum availability time. The last one selects the unified channel randomly. We use packet delay, the ratio of bad frames, and control overhead as performance metrics. Simulation results demonstrate that the proposed multicasting routing protocol achieves significantly better performance compared to the other studied routing protocols in terms of all studied performance metrics. Specifically, it reduces the packet delay by at least 25%, the control overhead by at least 5%, and the ratio of bad frames 44%. Index Terms—Adaptive Radio, Cognitive Networks, Cognitive Radio, Cross-Layer, Dynamic Spectrum Access, Multicasting, Packet Routing, Software Defined Radio, Video Streaming.

Cognitive networks: Radar, radio, and control for new generation of engineered complex networks

Abstract: In this paper, we start with a brief review of cognitive dynamic systems, the underlying principles of which apply to radar, radio, and control Then, we describe Cognitive Networks from two perspectives: the human brain, and engineering considerations The stage is thus set for describing two novel engineering applications of cognitive networks The paper concludes with a statement on cognitive networks in light of the material covered in the paper

Quality of Experience Provision in the Future Internet

Abstract: This work deals with the satisfaction of the quality of experience (QoE) requirements in the perspective of the emerging future Internet framework. The evolution of the Internet is pointing out its limitations, which are likely to hinder its potential. In this respect, this paper introduces an innovative approach to cope with some key limitations of the present communication networks. In particular, the need of efficiently utilizing the available network resources and of guaranteeing the user expectations in terms of QoE requires a full cognitive approach, which is realized by the introduction of a novel architecture design, the so-called future Internet core platform. The future Internet core platform aims at bringing together the applications world with the network world, hence introducing a further cognitive level while enabling a new generation of applications: network-aware applications. This paper is concerned with an important aspect of the intelligent connectivity between applications and network: the service class association, which, if performed with a cognitive approach, can yield some important improvements and advantages in the emerging information era. The key idea presented in this paper is a real-time dynamic control procedure for the selection of the optimal service class. The approach is based on theoretical considerations validated by a proof-of-concept simulation.

A cognitive radio based Internet access framework for disaster response network deployment

Abstract: In this paper, we propose a cognitive radio based Internet access framework for disaster response network deployment in challenged environments. The proposed architectural framework is designed to help the existent but partially damaged networks to restore their connectivity and to connect them to the global Internet. This architectural framework provides the basis to develop algorithms and protocols for the future cognitive radio network deployments in challenged environments.

WLC05-4: Game-theoretic Distributed Spectrum Sharing for Wireless Cognitive Networks with Heterogeneous QoS

Abstract: Ubiquitous wireless networking calls for efficient dynamic spectrum allocation (DSA) among heterogeneous users with diverse transmission types and bandwidth demands. To meet user-specific quality-of-service (QoS) requirements, the power and spectrum allocated to each user should lie inside a bounded region in order to be meaningful for the targeted application. Most existing DSA methods aim at enhancing the total system utility. As such, spectrum wastage may arise when the system-wise optimal allocation falls outside the desired region for QoS provisioning. The goal of this paper is to develop QoS-aware distributed DSA schemes using the game-theoretic approach. We derive DSA solutions that respect QoS and avoid naively boosting or sacrificing some users' utilities to maximize the network spectrum utilization. Specifically, we propose two game-theoretic DSA techniques: one resorts to proper scaling of the transmission power according to each user's useful utility range, and the other embeds the QoS factor into the utility function used for dynamic gaming. In addition, we introduce two new metrics to evaluate DSA schemes from a practical QoS perspective, namely "system useful utility" and "fraction of QoS satisfied users." Simulations confirm that the proposed DSA techniques outperform existing QoS-blind game models in terms of spectrum sharing efficiency in heterogeneous networks.