Cognitive radio resource management exploiting heterogeneous primary users and a radio environment map database

Vizziello, Anna; Akyildiz, Ian F.; Agustí, R.; Favalli, L.; Savazzi, Pietro

doi:10.1007/s11276-012-0528-y

Cited by 18 publications

(15 citation statements)

References 12 publications

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“…Author et al: Preparation of Papers for IEEE TRANSACTIONS and JOURNALS form a deep experimental analysis of a GC application that considers a muscle suffering nerve signal interruption due to a nerve compression, to evaluate the best transmitted power, the electrodes placement and the motor units to be tested, among the others. Other future research directions include multiple implants scenario, where it is fundamental to use opportunistic wake-up methods and localization of the devices [31]- [33], or to exploit optimized resource allocation methods [34], [35] with the objective to minimize the energy consumption, which is essential in intra-body networks for medical applications.…”

Section: Final Configuration: Bpsk Testmentioning

confidence: 99%

PHY Design and Implementation of a Galvanic Coupling Testbed for Intra-Body Communication Links

et al. 2020

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Intra-body communication (IBC) is a novel key research area that will foster personalized medicine by allowing in situ and real time monitoring in daily life. In this work, the energy efficient galvanic coupling (GC) technology is used to send data through intra-body links. A novel sound card-based GC testbed is designed and implemented, whose main features are: (i) low equipment requirements since it only employs two ordinary PCs with sound card support and Matlab software, (ii) high flexibility since all the parameters setting may be easily modified through the PC control panel and Matlab programs, (iii) real time physiological data transmissions, and (iv) almost error free communication by developing specific physical (PHY) layer techniques, which are implemented and tested with a real chicken tissue in the experimental evaluation. A signal to noise ratio (SNR) calculation is also proposed with the twofold purpose to be used for frequency offset compensation and as metric to evaluate the proposed architecture. The developed GC testbed may be easily replicated by the interested research community to carry out simulation-based experiments, thus fostering new research in this field. Moreover, the Matlab source code of the proposed GC transceiver is freely available online on Code Ocean.

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Section: Final Configuration: Bpsk Testmentioning

confidence: 99%

PHY Design and Implementation of a Galvanic Coupling Testbed for Intra-Body Communication Links

et al. 2020

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“…According to spectral characterstics, the area is classified into clusters. After that the existing PUs, CRs try to explore the features of PU that is bandwidth and level of allowable interference influences directly to achieve certain rate in particular cluster [37].By considering these characterstics for the proposed work, a third approach is identified i.e. PUs location.…”

Section: Location Aware Routing Protocolsmentioning

confidence: 99%

“…In this scenario, we explore the localization process in order to adapt CR power transmission and helps in routing protocol process. According to [37], developed a LaCR routing protocol, which computes the considered performance rate for every cluster. The proposed LaCR approach accounts for the localization error.…”

Section: Location Aware Routing Protocolsmentioning

confidence: 99%

E 2CL, HC: Energy Efficient Cooperative Localized & Hierarchical Cluster Routing in CRN

Manjula

et al. 2019

IJEAT

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With the advancement of Cognitive Radio Network (CRN), localization of primary users progress the improvement of network performance with respect to power adoption and reliability. Moreover, CRN localization is essential because storage energy of CR devices is limited and causes increased network lifetime. By considering these issues, we propose an Energy Efficient Cooperative Localization approach (EE-CL) in CRN, which is used for placing Primary User (PU) position with the help of mobile a aided CR. Moreover, communication among CRs cooperation which leads to demand of more energy, a mobile CR is allowed to manage the overall positional accuracy and wake up minimum number of CR to collaborate CR manager. In order to investigate influence of accurate location knowledge, a location-aware CR (LaCR) routing protocol employed and to improve the network life time a Hierarchical clustering approach is applied. We evaluated the simulation results for the proposed Energy Efficient Cooperative Localization (EE-CL) Routing approach which achieves better performance compared to existing Cooperative Localization (CL) with respect to energy efficiency. Furthermore, remarkable performance is accomplished by LaCR protocol in terms of PUs collision risk with the help of localization knowledge obtained from EE-CL approach. Also Hierarchical Cluster Routing protocol acheives significant performance in enhancing the network life time.

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“…The data is also stored in the storage unit through the Itf LS interface and is sent to the cluster-head, and thus forwarded to the CR devices, by the acquisition unit through the Itf A. At this point, the management unit carries out the resource allocation and the corresponding information is sent to the CR users, which can adapt their transmission parameters accordingly, as in [35].…”

Section: Message Sequence Chartmentioning

confidence: 99%

Smart social architecture for green distributed networks

Vizziello

Favalli

2013

Journal of High Speed Networks

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Nowadays, the energy consumption and efficiency of wireless networks have become a societal challenge. In this paper a novel system architecture is proposed to achieve green communications. The proposed smart social architecture exploits the flexibility and adaptability of cognitive radio (CR) technology to interact with the environment and achieve eco-sustainability by means of finding the best transmission opportunities. However, the effort required for CR nodes to obtain sensing measurements might make less effective the potential energy efficiency gain obtainable in CR networks. We thus propose to combine CR and social network technologies to maximize the energy efficiency and the associated context awareness in terms of energy and radio knowledge. In this way it is also possible to reduce the sensing burden of CR devices. Through the proposed approach, a greater awareness of environmental impacts by CR paradigm can be instilled in participating users, devices and backbones. This is based on a novel extension of the concept of social network, and specifically by allowing socialization among all the network actors, both users (as it is already done today) and cognitive devices to develop a much lighter and more flexible distributed infrastructure. The functionalities of the network elements and their interfaces are described in detail.It has been shown that more than 50% of the energy used in a telecommunications network is spent in the access part [11]. Unfortunately, most of this energy (80-90%) is used just to keep the base station alive, regardless of carried traffic. More than half of this is consumed by the power amplifier which, given the constraints of higher order modulations and multicarrier transmission, needs to operate in its linear region. For this reason, a lot of research efforts has been put in developing advanced sleep modes with coordination among different base stations to "zoom" cell sizes according with traffic load [30].As known, the power-law decrease in signal to noise ratio, and the need to reuse resources have in these years promoted the deployment of smaller and smaller cells. In terms of energy, it has been said that femtocells may lower energy needs to less than 30% of that of macrocells, although it is not clear the impact of signalling to manage network and users [28]. With the deployment of heterogeneous networks, the problem of coordination becomes even more relevant. For these reasons, cognitive radio (CR) has emerged not only has a paradigm to achieve better spectrum usage, but also towards the goal of greener networks.We exploit the flexibility and adaptability of CR technology to interact with the environment and achieve not only high spectrum usage as in classical CR systems, but also eco-sustainability, by means of finding the best transmission opportunities. Through such solutions, it is possible to enable opportunistic local connectivity and power saving modes for radio network equipment, control transmission range, and learn about traffic variations, transmission oppo...

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Cognitive radio resource management exploiting heterogeneous primary users and a radio environment map database

Cited by 18 publications

References 12 publications

PHY Design and Implementation of a Galvanic Coupling Testbed for Intra-Body Communication Links

PHY Design and Implementation of a Galvanic Coupling Testbed for Intra-Body Communication Links

E 2CL, HC: Energy Efficient Cooperative Localized & Hierarchical Cluster Routing in CRN

Smart social architecture for green distributed networks

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