A closed solution for an integrated broadband mobile system (IBMS)

Fettweis, Gerhard; Iversen, K.; Bronzel, M.; Schubert, Henning; Aue, V.; Mampel, D.; Voigt, Jens; Wolisz, Adam; Walf, G.; Ebert, Jean-Pierre

doi:10.1109/icupc.1996.562665

Cited by 10 publications

(2 citation statements)

References 6 publications

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“…Among the definitions of radio systems which are computationally intelligent [1], widely accepted terminology to accomplish efficient frequency spectrum utilization is introduced through software defined radios (SDR) and later on cognitive radios [2]. Cognitive radio (CR) technology aims to choose and support multiple variations of wireless communications systems, and introduces secondary (or sometimes unlicensed) users to achieve opportunistic access in the wireless spectrum.…”

Section: Introductionmentioning

confidence: 99%

Signal identification for adaptive spectrum hyperspace access in wireless communications systems

Görçin

Arslan

2014

IEEE Commun. Mag.

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Technologies which will lead to adaptive, intelligent, and aware wireless communications systems are expected to offer solutions to the capacity, interference, and reliability problems of wireless networks. The spectrum sensing feature of cognitive radio (CR) systems is a step forward to better recognize the problems and to achieve efficient spectrum allocation. On the other hand, even though spectrum sensing can constitute a solid base to accomplish the reconfigurability and awareness goals of next generation networks, a new perspective is required to benefit from the whole dimensions of the available electro (or spectrum) hyperspace, beyond frequency and time. Therefore, spectrum sensing should evolve to a more general and comprehensive awareness providing mechanism, not only as part of CR systems but also as a communication environment awareness component of an adaptive spectrum hyperspace access (ASHA) paradigm which can adapt sensing parameters autonomously to ensure robust signal identification, parameter estimation, and interference avoidance. Such an approach will lead to recognition of communication opportunities in different dimensions of the spectrum hyperspace, and provide necessary information about the air interfaces, access techniques and waveforms that are deployed over the monitored spectrum to accomplish ASHA, resource and interference management.Index Terms-Adaptive wireless communications systems, wideband spectrum sensing, cognitive radio systems, signal identification, dynamic spectrum access, public safety radios, TV white spaces, interference source identification

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Section: Introductionmentioning

confidence: 99%

Signal identification for adaptive spectrum hyperspace access in wireless communications systems

Görçin

Arslan

2014

IEEE Commun. Mag.

View full text Add to dashboard Cite

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“…In fact, we assume [11] that there will exist a special (logically centralized/physically distributed) repository keeping temporarily, on a soft-state basis, information about all terminals. This information should be used (among others) for supporting handover itself, but also supporting "lightweight" re-authentication after handover.…”

Section: Nomadic Access/true Mobility: Selected Issuesmentioning

confidence: 99%