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respectively. In the simulations, detection is performed with perfect CSI as well as with LSE channel estimation using Z = 0.125. The simulation results presented in these two sections are the worst-case 10 log10 Es =N0 values required to achieve BERr10 5 for the best 90% of channel realizations over a set of 100 channels (i.e., they are simulation results corresponding to 10% outage). Figure 11.11 (markers) shows SNR points when using convolutional codes (as in the MB-OFDM system), together with the corresponding 10% outage cutoff rate curves. We observe that the simulated SNR points are approximately 3 4 dB from the cutoff rate curves, which is reasonable for the channel model and coding schemes under consideration. These results (a) justify the relevance of the information-theoretic measure and (b) con rm the coding approach used in MB-OFDM. More speci cally, the diversity provided by the UWB channel is effectively exploited by the chosen convolutional coding and interleaving scheme.

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The economic theory of behavior allows elegant so-called explanations of every action by tracing a path to some basic hypothetical self-interest (e.g., Baurmann & Kliemt, 1995). With some ingenuity, it is possible to generate hypotheses reducing every surface motive to an underlying self-interest, or to unmask it as ultimately serving self-interest. This kind of hypothesizing may be creative, but it clearly does not constitute valid scienti c proof of the hypotheses proposed. Instead of asking the scienti c question What explains X , rationalchoice theorists ask How might a rational-choice theory explain X (Green & Shapiro, 1994, p. 203). Bunge has therefore criticized rational-choice modeling, arguing that it has inhibited the search for alternatives (1989, p. 210). Approaching the scienti c task of explaining the interindividual and intra-individual variance of human behavior with a single-motive model is counterproductive because this single motive (maximizing one s self-interest) does not contribute to the explanation of the behavioral variance. The statement that a person s behavior is motivated by self-interest has no informational value and no scienti c validity as long as alternative motives such as altruism, social responsibility, the justice

, 76, 84, 90, 93, 181, 186 Felton, B, 55, 58, 69, 73 Fenaughty, A M, 550, 561 Fennell, E B, 445, 463 Fennell, P A, 376, 385, 386, 387 Fennis, J F, 390, 413 Fenwick, J W, 148, 165 Ferguson, D C E, 174, 355, 363 Ferguson, J A, 344, 359 Ferguson, J M, 139 Ferguson, S J, 174, 186 Fernandez, E, 300, 313, 314 Fernandez-Repollet, E, 540 Fernbach, D, 450, 459 Ferraccioli, G, 177, 186 Ferrandez, A, 471, 485.

Flag recognition/ generation Transparency FCS checking/ generation Recognize invalid frames Discard incorrect frames Address translation Fill inter-frame time Manage V(S) state variable Manage V(R) state variable Buffer packets awaiting acknowledgment Manager timer T-1 Acknowledge received l-frames Check received N(S) against V(R) Generation of rejection message Respond to poll/ nal bit Keep track of number of retransmissions Act upon reception of rejection message Respond to receiver not ready (RNR) Respond to receiver ready (RR) Multiplexing of logical channels Management of D bit Management of M bit Management of W bit Management of P(S) packets sent Management of P(R) packets received Detection of out-of-sequence packets Management of network layer RR Management of network layer RNR

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SKKE step 2 CSMA Uplink Beacon Sync CSMA Uplink CSMA Downlink CSMA Uplink Beacon Sync SKKE step 3 SKKE step 4 ACK CSMA Uplink CSMA Downlink Sleep CSMA Uplink Collision avoidance Beacon Sync Sleep P sleep Sleep cycle 1 Psleep

the block length, and the key result of this paper was to show that 22 messages could be identi ed for any noisy channel with capacity C. This problem spawned a set of papers [16, 18, 269, 434], including extensions to channels with feedback and multiuser channels. Another active area of work has been the analysis of MIMO (multipleinput multiple-output) systems or space-time coding, which use multiple antennas at the transmitter and receiver to take advantage of the diversity gains from multipath for wireless systems. The analysis of these multiple antenna systems by Foschini [217], Teletar [512], and Rayleigh and Ciof [246] show that the capacity gains from the diversity obtained using multiple antennas in fading environments can be substantial relative to the single-user capacity achieved by traditional equalization and interleaving techniques. A special issue of the IEEE Transactions in Information Theory [70] has a number of papers covering different aspects of this technology. Comprehensive surveys of network information theory may be found in El Gamal and Cover [186], Van der Meulen [526 528], Berger [53], Csisz r and K rner [149], Verdu [538], Cover [111], and Ephremides and a o Hajek [197].