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Operationally, modes of operation represent options available for selection at the User s discretion, assuming certain conditions and criteria are met. Consider the following example:

It is worth taking advantage of these techniques combined with power control to further improve performance or reduce energy consumption of the stations in the networks The relationship between these techniques and transmit power should be characterized and should be used as a guide to the design of transmission power control algorithms..



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An automobile driver, assuming certain conditions and criteria are met, has the following modes of operation available for discretionary selection: PARK, REVERSE, NEUTRAL, DRIVE, and LOW. While the vehicle is in the DRIVE mode, the driver is permitted by the vehicle s design to shift to the REVERSE mode subject to satisfying the following conditions and criteria: 1. 2. 3. 4. The vehicle is at a safe location conducive to the action permissible under law and safe driving rules. The vehicle is safely stopped and the brake pedal is depressed. The driver can view on-coming traf c from all directions. The action can be safely completed before other traf c arrives.





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When we analyze use cases aligned with speci c phases of operation, we soon discover that some use cases share an objective or an outcome. Where there is suf cient commonality in these sets or clusters of use cases that share an objective, we abstract them into higher level modes of operation. Figure 19.2 illustrates how use cases (UCs) are abstracted into modes of operation. Author s Note 19.4 You may discover that some modes can be further abstracted into higher level modes. Where this is the case, we establish a modal hierarchy and designate submodes within a mode of operation. For simplicity, we assume that all use cases reside at the same level in the Figure 19.2 illustration.

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r Power control in interference-limited medium access. Since current CSMA algorithms such as the 802.11 protocol families have been demonstrated to be inef cient in terms of link layer throughput, the collision avoidance may need to be shifted from the carrier-sensing approach to the interference-limited approach. In the latter one, multiple nodes sharing the same wireless channel are allowed to send data the corresponding receiving nodes concurrently as long as the SINR at these receiving nodes is satis ed. In this approach, the power control algorithm needs to be carefully designed because it will directly affect the SINR at receivers. There is a tradeoff between the throughput and energy consumption in this type of MAC protocol. Increasing power can improve the throughput but consumes more energy, and vice versa. With the design of ef cient power control algorithms, a balance between these two goals can be achieved. r Practical Implementations. So far, most power-controlled MAC schemes that intend to exploit spatial reuse or reduce energy consumption still suffer from the limitations that the assumptions on the physical layer are somewhat unrealistic or introduce signi cant complexity into the design of MAC protocols. Therefore, works are still needed to nd practical, simple and ef cient designs of MAC protocols with transmission power control, and this may be achieved at the expense of slight performance degradation.

As they pinpoint problems, the team then formulates options for eliminating or reducing these problems and compares the different options How difficult is each option How much will each cost What impact will each option have on improving the sigma measure of the process Improve In this step the team leader works with the project s executive sponsor to select a group of improvement options They choose the options with the best chance for success and with the greatest impact on the process With the sponsor s backing, the DMAIC team implements the selected improvements to the process Best practice calls for the team to implement the improvements one at a time or in small groups of related improvements After implementing each improvement the team should collect process performance data and recalculate the sigma measure hopefully the sigma measure improves.

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