Cognitive network

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

Self-optimized Cognitive Network of Networks

Abstract: Future processing, storage and communication services will be highly pervasive: people, smart objects, machines and the surrounding space (all embedding devices such as with sensors, RFID tags etc.) will define a highly decentralized cyber environment of resources interconnected by dynamic networks of networks. As communications will extend to cover any combination of ’people, machines and things’, future networks will be increasingly complex and heterogeneous, yet always endorsed with the challenging task of ensuring end-to-end QoS. This paper proposes the groundwork for an advanced cognitive networking paradigm exploitable in future wired and wireless infrastructures: a decentralized cognitive plane to allow for cross-layer, cross-node and cross-network domain self-management, self-control and self-optimization, while being compatible with legacy management and control systems.

Cognitive Network Cooperation for Green Cellular Networks

Abstract: In recent years, there has been a growing interest in green cellular networks for the sake of reducing the energy dissipated by communications and networking devices, including the base stations (BSs) and battery-powered user terminals (UTs). This paper investigates the joint employment of cognition and cooperation techniques invoked for improving the energy efficiency of cellular networks. To be specific, the cellular devices first have to identify the unused spectral bands (known as spectrum holes) using their spectrum sensing functionality. Then, they cooperate for exploiting the detected spectrum holes to support energy-efficient cellular communications. Considering the fact that contemporary terminals (e.g., smart phones) support various wireless access interfaces, we exploit either the Bluetooth or the Wi-Fi network operating within the spectrum holes for supporting cellular communications with the intention of achieving energy savings. This approach is termed cognitive network cooperation, since different wireless access networks cognitively cooperate with cellular networks. In order to illustrate the energy efficiency benefits of using both cognition and cooperation, we study the cooperation between television stations (TVSs) and BSs in transmitting to UTs relying on an opportunistic exploitation of the TV spectrum, where the unused TV spectral band is utilized in an opportunistic way, depending on whether it is detected to be idle (or not). It is shown that for a given number of information bits to be transmitted, the total energy consumed is significantly reduced, when both cognition and cooperation are supported in cellular networks, as compared with the conventional direct transmission, pure cognition, and pure cooperation.

Interference Cartography for Hierarchical Dynamic Spectrum Access

Abstract: This paper describes a simple but effective concept in cognitive networks that provides awareness on the radio environment through geo-localized interference measurements: the interference cartography. The purpose of this novel concept is to combine location information with radio measurements carried out over the heterogeneous radio environment, and to provide a complete view of the environment to be used in autonomous decision making in a cognitive context. This is achieved by aggregating the already existing radio measurements that circulate in wireless networks forming the heterogeneous network panorama, combining this aggregated information with geo-localization information, performing advanced signal processing techniques to render the information complete and reliable, and updating the information to provide a viable picture of the environment for efficient detection, analysis and decision. Our focus is on hierarchical access models where licensed spectrum can be accessed by secondary users without creating harmful interference on the primaries. A complete description of a possible network implementation in a hierarchical access scheme is given, with a centralized architecture and a protocol structure that complies with the utilization of interference cartography. A case study of the proposed scheme is also given, demonstrating the utility of the notion of interference cartography.

Spectrum Prediction in Cognitive Radio with Hybrid Optimized Neural Network

Abstract: Modern radio networks promote the usage and emergence of new age technologies through enabling lay users to utilize superior gadgets without external assistance. Cognitive Radio technology, an emergent new age product, established the possibility for unlicensed cognitive users to access radio frequencies across a spectrum hole and understand its implications via spectrum sensing mechanisms. Since unlicensed users are not one of the primary groups that utilize the above technology, it poses a challenge to the use of spectrum prediction as there are several subtopics under this category, namely, prediction of channel statuses, ‘activities of Primary Users’, environment of radio and rate of transmission. In this paper, a new class of optimization heuristics called hybrid optimization is used. This will implement two or more algorithms for the same optimization. A Genetic Algorithm along with Particle Swarm Optimization (GAPSO) method is proposed with a Back-Propagation Neural Network (BPNN) as a novel supervised learning algorithm for predicting spectrum patterns in cognitive radio networks.