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The strategy of radio skill implementation applies Occam s Razor to technology insertion. The simplest technology that accomplishes the use case is preferred. Thus, the chapter begins with the simplest methods of storing and applying radio knowledge and progresses to the more complex but more capable methods. The place to start embedding knowledge into AACR is the traditional database. Next are the rule bases and knowledge bases from eBusiness products, many of which have been assimilated into conventional database packages, like Oracle (e.g., 9i eBusiness rules are well beyond mySQL). In addition, conventional (nonintelligent) radio propagation modeling tools supply radio knowledge, particularly if calibrated to the <RF/> environment by the AACR or CWN. The format of radio knowledge differs with band, mode, and time through AACR evolution. The major conventional knowledge representations are databases, rule bases (including logic programming), object-oriented knowledge bases, agent systems, and domain-speci c computational models. Each of these is a candidate for radio skill to observe, orient, plan, decide, act, and learn. The inadequacies of the simpler approaches lead one to formal computational ontologies and the Semantic Web. In one approach, spectrum management is a multiplayer game [195] with heterogeneous knowledge representation. Microworlds organize scene-level knowledge and partition skills within speci c task domains that are formally modeled, supported by axioms, a knowledge base, a rule base, and a domain-speci c language [219]. <RF/> microworlds constrain AACR inferences to context for ef cient, focused problem solving. Finally, even these approaches do not fully support AML for iCR, which led to the specialized Radio Knowledge Representation Language (RKRL) [145], an extensible domain-speci c language that is intentionally not Turingcomputable and thus achieves nite introspection. This book realizes RKRL principles in RXML.

AP is used in coordination with LRED When LRED starts to mark packets (the average retry value exceeds minth ), AP will then increase the backoff time of the pending transmission by an interval equal to the transmission time of the previous packet LRED provides an early sign of network overload which helps TCP improve the inter ow fairness When LRED is used in conjunction with AP, they improve the spatial reuse by reducing contention and thus improve the TCP performance However, LRED requires the MAC layer to maintain an average transmission retry attempt value It also requires a RED-like algorithm to be implemented at the MAC layer, and this complicates the implementation and the deployment of the scheme 944 Detecting Spurious Retransmissions Spurious retransmission is a consequence of TCP s inability to tolerate and handle sudden delay spikes experienced by packet transmissions.

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be a self-directed and responsible trader It s a big job, but you can do it And it starts by changing your mind-set ME: I am ready to do that HARVEY: Good Now back to the original question How do you know when you have lost too much Let s back it up and ask some questions What do you think a trader should do if he loses 1 percent of his account If he s trading five thousand dollars and he loses fifty dollars, what should he do ME: Umm HARVEY: Umm is not a satisfactory reply You get no credit for Umm ME: Well, I don t want to be totally off base here, but I think the trader shouldn t worry about it HARVEY: Wrong answer! ME: I knew it I knew there was some clever answer you were looking for.

SDRs and CRs are replete with databases. Ef cient data structures like hash maps enable rapid access to internal databases. The CR challenge is the

The representative schemes that are classi ed into this category include TCP-Eifel [13] and Forward RTO-Recovery [22]..

TCP-Eifel TCP-Eifel [13] is a technique that is specially designed to detect and handle spurious retransmissions Detection of Spurious Retransmissions TCP-Eifel uses the TCP timestamp option to solve the ambiguity of retransmissions TCP-Eifel includes in every transmitted packet the transmission time and this timestamp is echoed back by the receiver In addition, the sender records the time of the rst retransmission When an ACK acknowledging a recently retransmitted packet arrives, the sender can compare the timestamp on the ACK with the recorded time to determine whether the retransmission is spurious or not If the timestamp on the ACK is smaller than the recorded time (which means that the ACK is generated due to a packet that was transmitted prior to the particular retransmission), the retransmission is likely to be spurious If it is spurious, the sender will restore the cwnd and ssthresh values before the retransmission.

autonomous creation of properly organized perceptions and plans from the partially organized, incomplete, and errorful data of the external world. Database <Schema/> begin that process. 8.2.1 A Spectrum Management Database

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