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Abstract-In this paper we provide a theoretical framework of de-noising for UMTS TDD-like mobile radio communication systems. Based on the Bayesian approach, we show how to denoise channel estimates provided by the Training-based estimation procedure. The proposed schemes allow not only for eliminating major drawbacks of hard thresholding but also for a low complexity implementation.

The evolution of wireless communications in recent years has resulted in a clear trend toward Beyond Third Generation (B3G) systems, which support the integration and co-existence of multiple, diverse radio access technologies (RATs) in a common composite radio environment. The reconfigurability concept has been developed for the facilitation of B3G Systems. Reconfigurability supports the B3G concept by providing technologies that enable equipment (terminals and network elements) to dynamically select the most appropriate reconfiguration action. In this direction this article outlines some key issues for embedding reconfigurability functionality in equipment. A generic management system for reconfigurable equipment (MSRE) in B3G environments is presented and the functionality of its main components is described in detail.

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Ris work has beenperformed in theframework of the ISTpmjecr IST-2001-34091 SCOUT, which is pan& funded by the Europeon Union. The authon would like IO acknowledge the ontnbu lions of theircolleopes. 100 ABSTRACTReconfigurahlc radio in Europe is rapidly gaining momentum and becoming a key enabler for realizing the vision of hcing optimally connected anywhere, anytime. At the center of this exciting technology is thc reconfigurahle terminal that will move across different radio access networks, adapting at every instant to an optimum mode of operation. This will require coordinated reconfiguration management support from both the terminal and the network, hut the terminal will inherit a significant part of this intelligence. This article focuses o n a novel reconfigurable terminal architecture that advances the state of the art and encompasses the overall protocol stack from the physical to application layer in IP-based radio access networks. The proposed architecture is composed of a terminal reconfiguration management part and enabling middleware technologies like the complementary Distributed Processing Environment and agent platforms, flexible protocol stacks that can flexibly he interchanged to support different wireless technologies and associated mechanisms, and finally, object-oriented reconfigurahlc RF and baseband components. The work presented in this article is conducted in the context of the IST projects SCOUT (www.ist-scout.org) and TRUST (www4.in.tum.de/ -scoutitrust-webpage-src/ trust-frameset.html) of the Europcan 5th Framework Program.

This contribution presents and discusses the system concept approach which has been proposed by the European Integrated Project IST-E 2 R II in the IEEE P1900.B Standardization Study Group (SG); it currently is under further elaboration in the framework of the follow-up IEEE P1900.4 Working Group (WG) whose Project Authorization Request (PAR) was accepted in December 2006. This effort targets reconfigurable (typically Software Defined Radio (SDR) based) networks and terminals in a heterogeneous wireless environment, with multi-homing capable terminals enabling the users to operate multiple wireless links simultaneously. In order to ensure backwards compatibility to legacy standards, the approach is to introduce three new building blocks into the (existing and/or evolving) heterogeneous landscape: i) A Network Reconfiguration Management module, ii) a Radio Enabler and iii) a TerminalReconfiguration Management module. Within this paper, the key functionalities of these building blocks are detailed and discussed; it is furthermore outlined how the introduction of distributed decision-making concepts improves the efficiency of the heterogeneous system in terms of i) signaling overhead, ii) reactivity of user mobile terminals (MTs) and iii) numerical resource selection optimization complexity on the network side.

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