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The cellular concept was rst described in the 1970s by the Bell Labs, and the rst preoperational cellular network was launched in 1979 in Chicago. In Europe, the NMT system started operation in the Nordic countries in 1981. The key radio features of a cellular network, i.e. its seamless handover between base stations and the reuse of frequencies between distant cells were being implemented for the very rst time in commercial networks when GSM work started. We were therefore to design a second generation when the true performances of the rst generation were not yet known! Around 1980, we were just seeing the rst practical implementations of digital processing in commercial domains such as microwave transmission and digital switching but, while the principles of digital encoding and modulation were already well known, there was still some doubts about the amount of processing which could be implemented in cellular base stations and, particularly, in mobile terminals. When the rst descriptions of the GSM radio interface were published around 1987, showing the mobile stations monitoring in parallel a large number of logical traf c and signalling channels multiplexed in time, we heard sometimes the comments that this was far too complicated and could never be implemented in low cost terminals. Retrospectively, it is amazing to see the amount of software found today in low cost devices such as toys and also to realize that current GSM hand-held terminals already have more processing power than most micro-computers produced only a few years ago!

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The team at John Wiley & Sons, Ltd deserve to be acknowledged as well for their patience and support during the production process We are grateful to our families, as well as the families of all contributors, for the personal time needed in the evening and weekends for writing and editing work Special thanks are due to our employer, Nokia Networks, for supporting and encouraging such an e ort and for providing some of the illustrations in this book We would like to acknowledge Sierra Wireless for permission to use their product picture in the book.

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However, EAR is an extension of the protocol for mobile nodes that attempts to offer continuous service to the mobile nodes under both mobile and static constraints The key to the EAR protocol is to con gure the communication channel between a static node and a mobile node with the least number of messages transmitted by the static node Therefore, most of the energy is consumed by the mobile nodes This policy is based on the fact that the mobile nodes can have better autonomy or the chance to recharge their batteries in special places or with the use of alternative energy sources With the use of the EAR protocol, the topology is no longer at and the mobile nodes assume full responsibility for making and breaking connections with the static nodes The algorithm consists of different steps: 1.

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Finally, it is good to remember that this book would not have been possible without the huge e ort invested by our colleagues in the wireless industry within the 3rd Generation Partnership Project (3GPP) to produce the di erent speci cation releases of the global WCDMA/HSDPA/HSUPA standard and, thereby, making the writing of this book possible The editors and authors welcome any comments and suggestions for improvements or changes that could be implemented in forthcoming editions of this book Harri Holma and Antti Toskala Espoo, Finland harriholma@nokiacom and anttitoskala@nokiacom.

The static node invites the other nodes to open a new connection (this step is done periodically and whether there are mobile nodes or not) 2 The mobile node responds to the invitation of the static node when it is going to create a connection with the static node 3 The static node sends a reply accepting or denying the connection 4 To break the link, the mobile node only has to send a disconnection message Finally, the mobile nodes need to have a registry of neighbors in order to keep a constant record of neighboring activity 3554 Routing algorithms Because the mobile nodes interact with the network, it is possible that they become involved in the routing paths calculated at the network layer.

F0 distinct items: this suggests that R, as de ned above, yields a good approximation for F0 . We will now give a more formal analysis. We will denote by Zj the number of distinct stream items that are mapped (by the composition of functions t and h) to a position j. Thus, R is the maximum j such that Zj > 0. Lemma 2 Let Zj be the number of distinct stream items x for which t(h(x)) j. Then, E[Zj ] = F0 /2j and Var[Zj ] < E[Zj ]. Proof. Let Wx be an indicator random variable whose value is 1 if and only if t(h(x)) j. Then, by de nition of Zj , Zj =

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