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Some of the earliest ideas on chaotic signal carriers involved the use of chaotic waveforms as easily generated, wideband carriers for spread-spectrum modulation schemes [5] Subsequent work sought to exploit synchronization properties of chaos, mostly focusing on the idea of secure communication applications [5 9] The late 1990s saw the start of government- and industry-funded projects in the USA, Japan and Europe, to build experimental prototype systems and examine their feasibility [10 12] Such collaborative efforts have been effective for clarifying issues of implementation and performance which are essential for crossing the bridge between physics and engineering As for laser chaos, theoretical and experimental work in the context of chaotic carriers for communications began in the mid-1990s [13 15] Most of these works have focused on the objective of mixing signals with chaotic carriers and recovering them by chaotic synchronization.

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Let us step back to take a wider view. With EPS, 3GPP makes a serious move towards satisfying the expected IMT-Advanced requirements, with a substantial increase of air interface bandwidth, convergence of heterogeneous Access Networks, always-on and an IP Network. We may observe how 3GPP realizes the convergence of heterogeneous ANs: the network is de ned so that the value-generating network elements (cf. 20, Section 20.2.2) control of subscriber data (HSS), control of subscriber movement (PGW) and the gateway to external networks (PGW) are located in the 3GPP-de ned EPC. By the same token, there is only limited interest in de ning how the E-UTRAN could become an alternative AN to other Core Networks. In 22 we will see to what extent other standardization bodies are doing the same. There is something else which is noteworthy about EPS. Simpli cation and lowering costs are important aims for E-UTRAN design, while at the same time former goals are abandoned, such as optimal support of mobility at very high speeds. This shift of emphasis is inspired presumably by the success of the competition, especially WiMAX. WiMAX equipment is typically less costly, but also so far offers less sophisticated functionality. We thus observe another, somewhat different, case of convergence: convergence of standards.

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In 1994, Colet and Roy demonstrated numerically the possibility of hiding and recovering binary bit-sequences at 100 kbps using synchronization of chaos in two solid-state lasers [13] Since then, there have been numerous demonstrations of methods for transmitting messages on the output of fibre lasers and semiconductor lasers, at increasingly higher rates A good example of a current state-of-the-art implementation of a.

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This case study is based on the Berlin scenario included in the publicly available datasets from the Momentum project [1,2]. Besides Berlin (Germany), there are also datasets for Lisbon (Portugal) and The Hague (The Netherlands) available for download. The datasets comprise all kinds of data typically used in radio network simulation tools. The Berlin scenario. The scenario covers an area of 7 5 7 5 km2 in central Berlin. Like with the other public datasets from the Momentum projects, all data available in state-of-the-art network planning tools and specifically all information for a detailed static system level model is included. The geographical database, elevation model and propagation grids have a resolution of 50 m. Further details can be found in [3]. Available sites and reference configuration. There are 69 potential site locations in the scenario. For this case study, 65 out of these sites are admitted. The scenario includes a reference configuration on the 65 sites shown in Figure 15.16a. The configuration uses three sectors at each site (with two exceptions), a regular sectorisation with sectors at 90 210 and 330 is most frequent. This leads to a total of 193 cells. No individual tilt values are present, a uniform value of 6 (electrical) tilt is used. Traffic and services. In the Berlin scenario, a differentiated service mix comprising voice and video telephony, data streaming, web and background services (FTP, e-mail) is used. The significant presence of data streaming users makes the traffic mix downlink-biased. The traffic density varies inhomogeneously across the area. The downlink traffic distribution is depicted in Figure 15.16b. The figure show the pixels average contribution to the downlink user load (see Section 6.4).

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