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Therefore, for maximal Q to increase, maximal SV must be increased, by shortand long-term endurance training Numerous investigations have revealed an increased SV as the result of endurance training in healthy individuals (Blomqvist & Saltin 1983; Mier et al 1997; Spina et al 1992; Warburton et al 2004) Moreover, the SV of endurance-trained athletes is signi cantly larger than their non-trained counterparts at rest and throughout incremental exercise (Crawford et al 1985; Gledhill et al 1994; Krip et al 1997) It is not uncommon for highly trained endurance athletes to have maximal SV above 170 mL beat 1 (Krip et al 1997; Warburton et al 1999), with reports of elite athletes having maximal SV of 200 210 mL beat 1 (Ekblom & Hemnasen 1968) In comparison, untrained individuals commonly exhibit maximal SV from 100 130 mL beat 1 (Ekblom et al 1968; Krip et al 1997).



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A challenge of this model is to nd out what information is most useful, how often it should be collected and how long this information should be kept around. Figure 6.8 shows the architecture of the push pull model.

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Besides the high data rates achievable with UWB, a key potential is in the capability to meet QoS constraints and to adapt to the environmental conditions By designing suitable MAC and routing protocols a large number of transmitters can operate simultaneously in the same area, yielding increased spectral reuse and achieving high capacity per area Some theoretical works [3] show that the most promising approach to improving the capacity bound in powerconstrained wireless ad-hoc networks is to employ unlimited resources, such as UWB The analysis of potentialities of UWB as a networking paradigm has been carried out in [4] and [5] In the paper by Cuomo [4], a general framework for radio resource sharing in UWB is provided by considering two main classes of traf c: (i) elastic-dynamic (also known as best effort); and (ii) guaranteed QoS (reserved bandwidth).

The increases in SV are attributed to a combination of intra myocardial factors (ie, heart size, ventricular compliance, and myocardial contractility) and extramyocardial factors (eg, afterload, blood volume, brous pericardium, and venous return; Blomqvist & Saltin 1983; Fagard et al 1987; Hopper et al 1988) These factors are now brie y discussed..

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A joint power and rate assignment is presented as an optimization problem that is solved for the elastic-dynamic traf c as well as for the guaranteed QoS traf c In the latter case, a target rate value comes as a requirement and the proposed algorithm checks whether feasible power levels can be set in all transmitters, so that the required bit rates are supported Coexistency of the two classes of traf c is studied in [6] The goal of [5] is to de ne design objectives for multihop UWB best-effort ad hoc networks The authors give guidelines on how to organize access to the medium as well as routing in order to optimize the use of the UWB system and the performance perceived by users Finally, some works explicitly concentrate on the MAC layer design and analysis [7 9].

Figure 9.4 illustrates the various aspects of hybrid ber and wireless network architectures that will emerge to leverage the unique capabilities inherent in the point-to-multipoint millimetric microwave services.

The work in [7] proposes an ALOHA-like approach for the design of the UWB MAC layer The algorithm exploits typical features of impulse radio such as large processing gain, and is conceived in conjunction with a synchronization strategy which foresees the presence of a synchronization sequence in each transmitted packet Performance analysis of the synchronization tracking mechanism shows that, under the preliminary simplistic hypothesis of an AWGN channel, and for a suf cient number of pulses in the synchronization sequence, a fairly high probability of successful synchronization can be achieved, even in the presence of several users and multiuser interference Also, [8] addresses the critical aspect of time acquisition in UWB systems, while [9] proposes and evaluates a number of MAC protocols for UWB The focus of this chapter is on adaptivity in UWB systems.

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More speci cally, we describe how to exploit the UWB adaptability to support wireless links in ad hoc networks based on UWB We show how to dynamically set up wireless communications among devices distributed in a given area, without the support of a centralized infrastructure Each wireless link should be characterized by two main QoS parameters: (i) a given PHY transmission rate (that typically comes as a requirement from the upper layers); (ii) a given SINR able to insure a target bit error rate at the receiver side We design an admission control (AC) scheme that guarantees that the active wireless links in the system maintain their QoS parameters Adaptivity is achieved by exploiting interference measurements and inter-device signaling..

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