David Grandblaise

Dynamic spectrum allocation in composite reconfigurable wireless networks

Future wireless systems are expected to be characterized by increasing convergence between networks and further development of reconfigurable radio systems. In parallel with this, demand for radio spectrum from these systems will increase, as users take advantage of high quality multimedia services. This article aims to investigate and review the possibilities for the dynamic allocation of spectrum to different radio networks operating in a composite reconfigurable wireless system. The article first looks into the current interest of regulators in this area, before describing some possible schemes to implement dynamic spectrum allocation and showing some example performance results. Following this, the technical requirements that a DSA system would have, in terms of reconfigurable system implementation, are discussed.

Credit Token based Rental Protocol for Dynamic Channel Allocation

This paper describes a distributed, cooperative and real time rental protocol for DCA operations in a multi system and multi cell context for OFDMA systems. A credit token based rental protocol using auctioning is proposed in support of dynamic spectrum sharing between cells. The proposed scheme can be tuned adaptively as a function of the context by specifying the credit tokens usage in the radio etiquette. The application of the rental protocol is illustrated with an ascending bid auctioning. The paper also describes two approaches for BS-BS communications in support of the rental protocol. Finally, it is described how the proposed mechanisms contribute to the current approaches followed in the IEEE 802.16h and IEEE 802.22 standards efforts addressing cognitive radio

Bio-inspired algorithms for dynamic resource allocation in cognitive wireless networks

Regulation will experience enormous changes in the near future resulting in seamless connectivity by spectrum borders. A promising approach in this context is dynamic spectrum allocation which leads to a more flexible access to spectral resources by employing intelligent radio devices called cognitive radios. This paper is concerned with bio-inspired approaches that exploit distribution in multi-radio environments where many users have to share a finite resource harmoniously. Three applications of bio-inspired techniques are described. The first one deals with the detection of spectrum holes whereas the second one describes resource allocation in orthogonal frequency division multiple access based systems. The third one is concerned with distributed resource auctioning.

Development of a Radio Enabler for Reconfiguration Management within the IEEE P1900.4 Working Group

An important emerging capability is for mobile terminals to be dynamically reconfigured. Through ongoing advances in technology such as software defined radio, reconfiguration of mobile terminals will in the near future be achievable across all layers of the protocol stack. However, along with the capability for such wide-ranging reconfiguration comes the need to manage reconfiguration procedures. This is necessary to coordinate reconfigurations, to ensure that there are no negative effects (e.g. interference to other RATs) as a result of reconfigurations, and to leverage maximal potential benefits of reconfiguration and ensuing technologies such as those involving dynamic spectrum access. The IEEE P1900.4 working group is therefore defining three building blocks for reconfiguration management: network reconfiguration management (NRM), terminal reconfiguration management (TRM), and a radio enabler to provide connectivity between the NRM and TRMs. In this paper we concentrate on aspects of the radio enabler, highlighting its relevance in heterogeneous radio access scenarios, its advantages, and some aspects of its technical realization.

Reconfigurability support for dynamic spectrum allocation: from the DSA concept to implementation

The paper presents current research into the area of dynamic spectrum allocation (DSA) in the context of a reconfigurable multi-radio environment. First, the DSA concept is introduced. Then, some possible deployment scenarios for DSA are presented. Based on these scenarios, some high level DSA requirements on reconfigurability are outlined from different perspectives (technical, economic and regulatory) investigating different areas (system, equipment). Two extreme architecture approaches, combining both DSA and reconfigurability, are illustrated. Finally, we review some of the current technologies (with emphasis on SDR) enabling the support of DSA. This activity is ongoing and some more mature results are expected regarding the identification of future research needs in reconfigurability.

Bio-Inspired Algorithms for Dynamic Resource Allocation in Cognitive Wireless Networks

Regulation will experience enormous changes in the near future resulting in seamless connectivity by bluring spectrum borders. A promising approach in this context is dynamic spectrum allocation which leads to a more flexible access to spectral resources by employing intelligent radio devices called cognitive radios. This paper is concerned with bio-inspired approaches that exploit distribution in multi-radio environments where many users have to share a finite resource harmoniously. Three applications of bio-inspired techniques are described. The first one deals with the detection of spectrum holes and the second one describes resource allocation in orthogonal frequency division multiple access based systems. The third one is concerned with distributed resource auctioning.

Adaptive resource management platform for reconfigurable networks

Users’ expectations towards technology, in terms of quality, service availability and accessibility are ever increasing. Aligned with this, the wireless world is rapidly moving towards the next generation of systems, featuring cooperating and reconfiguring capabilities for coexisting (and upcoming) Radio Access Technologies (RATs), so that to improve connectivity and reduce costs. In this respect, conventional planning and management techniques ought to be replaced by advanced schemes that consider multidimensional characteristics, increased complexity and high speeds. To this effect, means are needed capable to support scalability and to cater for advanced service features, provided to users at high rates and cost-effectively. This article provides a scheme to optimize resource management in future systems, by describing a platform that accommodates engineering mechanisms that deal with dynamic, demand driven planning and managing of spectrum and radio resources in reconfigurable networks. To do so, it first discusses the fundamentals and the approach followed in the proposed architecture and then investigates the basic functional modules. The architecture is validated through a set of use-cases that exemplify the operational applicability and efficiency in a wide range of communication scenarios.

Collaborative Allocation of Orthogonal Frequency Division Multiplex Sub-Carriers using the Swarm Intelligence

Future generations of wireless systems require op- portunistic spectrum access techniques to effectively detect and access temporarily unused spectrum bands. Cognitive radios, with their ability to learn and adapt to their environment, promise to possess such powerful capabilities. As a consequence, the spectrum allocation of a wireless system could quickly and appropriately auto-adapt to react to a sudden traffic variation. In this article, we propose an innovative and efficient distributed spectrum allocation algorithm, whose objective is to maximize the system UL capacity by exploiting multi- user diversity. The algorithm is capable of learning over time and of adapting the spectrum allocation when changes occur in the radio environment. Such an algorithm finds its application in the scope of future WLAN systems (e.g.: 802.11x).

Efficient OFDMA distributed optimization algorithm exploiting multi-user diversity

Future generations of wireless systems require opportunistic spectrum access techniques to effectively detect and access temporarily unused spectrum bands. Cognitive radios, with their ability to learn and adapt to their environment, promise to possess such powerful capabilities. As a consequence, the spectrum allocation of a wireless system could quickly and appropriately auto-adapt to react to a sudden traffic variation. In this article, we propose an innovative and efficient distributed spectrum allocation algorithm, called DABVT-OFDMA, whose objective is to maximize the system throughput by exploiting multi-user diversity. The algorithm is capable of learning over time and adapt the spectrum allocation when changes occur in the radio environment. Such an algorithm finds its application in the scope of future WLAN systems (e.g.: 802.11x)

Multi-level spectrum auction through radio access

This paper describes the resource exchange between all important interfaces of a communication system using an auction sequence. Differences between the different mechanisms are shown and implementation concepts are presented