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Table 3.2 Attributes of the <xsd:attribute> Tag ATTRIBUTE default fixed form id name ref type use DESCRIPTION Default value for the attribute A default, but unchangeable value for the attribute Used to specify if the qualification of an attribute is to be done by a local or global declaration Unique identifier The name of the attribute being created Allows you to reference a global attribute declaration and therefore inherit some of its settings The datatype of the value of the attribute you are creating Optional item that allows you to specify whether the attribute is optional, prohibited, or required
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All these modi cations can be performed separately, one after the other, or simultaneously, at any time, starting from the same or from different robots. The resultant distribution of KN between the robots taking into account the changes presented above, including the new nodes added, is shown in Figure 6.18. The changes in the distributed knowledge network may also take place simultaneously with any wave processes on this network. For example, all the space
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Table 17.18 Maximum Sector Capacity Limited Range for LMDS 90 sector. Maximum Sector Capacity Limited Range in km Dense urban Voice 12.2 kbps LCD64 kbps LCD144 kbps LC384 kbps Voice 12.2 kbps Suburban LCD64 kbps LCD144 kbps LC384 kbps
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SUMMARY In this chapter we have presented CEA packet scheduling and admission control as two types of radio resource management schemes that operate in different time scales. CEA packet scheduling takes into account the time-varying nature of a wireless channel quality as it avoids transmitting in a low-quality channel. Analytical and simulation results have indicated that CEA scheduling algorithms can improve network throughput. However, avoiding channel errors alone does not ensure fairness in bandwidth sharing such that each user may not get its committed share of bandwidth. To deliver fairness, CEA scheduling algorithms need to have a compensation mechanism that provides users that have lost their services due to low channel quality with additional bandwidth once they return to the good channel state. Various compensation mechanisms, ranging from counter based to non-counter based and from credit based to debt based, exist. The majority of these CEA scheduling algorithms with compensation can provide long-term fairness but not short-term fairness. Shortterm fairness is desirable because it provides bandwidth guarantee from which delay guarantee can be derived. Short-term fairness can be achieved by approximating in a wireless communication environment, a fair scheduling algorithm originally designed for wired networks. In these approximation schemes, short-term fairness is a function of the channel characteristics and the compensation bounds. When short-term fairness is used to derive a delay upper bound, the value derived is also a function of the channel characteristics. This means that longer low channel quality duration will lead to a larger delay upper bound. The relationship between a delay bound and channel characteristics is not acceptable because the channel characteristics depend on user behavior over which a network operator has no control. Deadline-based scheduling algorithms such as feasible earliest due date and proactive earliest due date are better solutions than the short-term fairness approach in providing delay bound over a wireless channel with time-varying quality. This is because the deadline-based method does not depend on bandwidth guarantee to determine delay guarantee. Although bandwidth and delay are important performance objectives for CEA scheduling algorithms, there is always a case where the perceived throughput and delay can be degraded by channel errors and fall below the level guaranteed. For this reason, QoS differentiation is more manageable. There are CEA scheduling algorithms for simple proportional differentiation in average packet delay. Also, there are CEA scheduling algorithms that go beyond simple QoS differentiation to compound QoS that provide QoS differentiation together with guaranteed QoS commitment. Compared to CEA packet scheduling, admission control has been covered brie y in this chapter. Multicode DRR has been presented as a scheme that performs admission control by rst estimating the deterministic value of a time-varying capacity. By dedicating the deterministic capacity component to time-sensitive traf c through admission control, multicode DRR has been shown to provide packet delay guarantees.
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