End-to-End Reconfigurability in Heterogeneous Wireless Systems - Software and Cognitive Radio Solutions enriched by Policy- and Context-based Decision Making

Muck, Markus; Bourse, Didier; Moessner, Klaus; Alonistioti, Nancy; Demestichas, Panagiotis; Nicollet, Eric; Buracchini, Enrico; Bateman, D.G.; Boufidis, Zachos; Patouni, Eleni; Stavroulaki, Vera; Trogolo, Alessandro; Goria, P.

doi:10.1109/istmwc.2007.4299235

Cited by 8 publications

(5 citation statements)

References 5 publications

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“…The majority of existing reconfiguration research is oriented toward several definite fields. Actually, the E 2 R project has made progress in reconfiguration architectures such as reconfiguration controller [5], reconfiguration business system architecture [5] and reconfiguration management architecture [7,8]. The reconfiguration controller is used to control transmission and configuration.…”

Section: Related Workmentioning

confidence: 99%

Reconfiguration decision making in cognitive wireless network

et al. 2012

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Facing the challenges of dynamic adaptation capabilities in the time-varying environment of cognitive wireless networks (CWNs), we introduce reconfiguration capabilities that flexibly and dynamically adapt to changing wireless environments and service requirements. As an essential characteristic of CWNs, the cognitive reconfiguration can meet user requirements, realize interoperability between heterogeneous networks, make full use of radio resources and adapt to time-varying environments to achieve end-to-end requirements. However, the reconfiguration implementation is still challenging due to the need for complex environment cognition, multi-objective optimization, autonomic decision-making and end-to-end requirement extraction. As an intelligent technology for solving complex issues, we apply adaptive neuro-fuzzy inference system (ANFIS) techniques in this paper to address these challenges in cognitive reconfiguration for self-learning and optimal decision making based on multi-domain cognition results. Moreover, this paper designs a generic ANFIS cognitive reconfiguration system including three functional entities, which are the context management module, multi-domain database and ANFIS optimization module. Finally, numerous results prove the effective performance improvements of the ANFIS based reconfiguration solution in CWN for global end-to-end goals.

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Section: Related Workmentioning

confidence: 99%

Reconfiguration decision making in cognitive wireless network

et al. 2012

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“…The Software Defined Radio (SDR) is a realizable form of SR taking into account those practical limitations [5]. Therefore, SDR has the possibility to be a promising candidate in the development of future wireless devices which offers more flexible operation among multiple standards or services through End-to-End Reconfigurability (E2R) [6]. By performing reconfiguration, interoperability and E2R can be realized on the same hardware device.…”

Section: Flexibility Through Reconfigurationmentioning

confidence: 99%

Flexible and Reconfigurable Implementation of Link Adaptation Algorithms

Chitti

Kulkarni

Popp

et al. 2009

Wireless Pers Commun

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Reconfigurable systems using FPGAs are of growing interest for the design and implementation of software defined radio transceivers. By reconfiguring an FPGA, its hardware resources can be reused and shared to provide multiple functionalities on a single device. This paper investigates power savings by means of partial reconfiguration for implementing two link adaptation algorithms. These algorithms provide variable performance in terms of spectral efficiency and hardware utilization at different average SNRs. In order to obtain the best tradeoff between (i) spectral efficiency and (ii) area and power consumption, we propose an efficient implementation that switches between the two algorithms by means of partial reconfiguration. Our experimental results show that our implementation provides a high spectral efficiency and, for certain SNR regions, reduces the hardware resources and thereby the power consumption.

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“…These demands for both flexibility and size reduction can only be met if mobile terminals are made highly reconfigurable at various levels. At the network and baseband levels, software/cognitive radio techniques in flexible networks are making reconfigurability feasible [3][4]. However, at analog front-end level very limited reconfigurability is possible and hardware duplication is often used leading to increased size and weight.…”

Section: Introductionmentioning

confidence: 99%

RF-MEMS switchable inductors for tunable bandwidth BAW filters

Aliouane

Kouki

Aigner³

2010

5th International Conference on Design &Amp; Technology of Integrated Systems in Nanoscale Era

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This paper presents a method for reconfiguring the bandwidth of Bulk Acoustic Wave (BAW) ladder filters by adding switchable inductors to their shunt resonators. Inductance values are controlled by selecting the number of turn in spiral inductor using micro-electro-mechanical (MEMS) switches. For this purpose, a MEMS inductor has been designed, fabricated and characterized in terms of inductance value, quality factor, and resonance frequency. A measurement-based model of this inductor has been implemented in a circuit simulator to build a reconfigurable RF Ladder BAW filter intended for handset applications. The simulation results show that, using this switchable inductor, it is possible to increase the filter bandwidth by up to 25% with an improved out-of-band rejection and without degrading its selectivity.

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End-to-End Reconfigurability in Heterogeneous Wireless Systems - Software and Cognitive Radio Solutions enriched by Policy- and Context-based Decision Making

Cited by 8 publications

References 5 publications

Reconfiguration decision making in cognitive wireless network

Reconfiguration decision making in cognitive wireless network

Flexible and Reconfigurable Implementation of Link Adaptation Algorithms

RF-MEMS switchable inductors for tunable bandwidth BAW filters

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