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Numerical results reveal several interesting design guidelines for optimal scheduling, routing, and power control design: r For small power constraints, it is better to relay, for both direct and minimumenergy routing techniques r For high powers, it is optimal to send data directly to the destination r For symmetric networks, it is optimal to schedule only one link in each slot and rotate these timeslots Moreover, the optimal power allocation policy is 0 or full power policy Radunovic and Le Boudec [13] give a mathematical analysis on the problem of optimal power allocation, rate adaption, and scheduling in a multihop wireless network Assumptions are made that the rate-SINR function is linear, and ne-grained rate adaption is allowed (eg, TH-UWB, low-gain CDMA wireless networks) The authors prove that the optimal power allocation is 0 or full power policy, and hence power control is not required.



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Figure 19.6 How Operational Phases, Modes, and States In uence Physical System Design and Vice Versa

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Table 19.4 System operations, phases, modes, operational states, and physical con guration states entity relationship rules ID 19.1 19.2 19.3 19.4 19.5 Entity System operations Phases of operation Modes of operation Operational states Physical con guration states Entity Relationship Rules System operations consists of at least three phases of operation. Each phase of operation consists of at least one or more use case-based modes of operation. Each mode of operation controls of at least one or more system operational states. Each system operational state is supported by at least one or more physical states of operation. Each physical con guration state of operation is characterized by at least one or more allowable actions and at least one or more prohibited actions.

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However, if the number of possible link rate is small, it is desirable to use power control and scheduling to increase the network throughput Cruz and Santhanam [14] propose a joint routing, scheduling, and power control design to support high data rates for broadband wireless multihop networks They divide it into two subproblems: (a) joint power control and scheduling subproblem and (b) routing subproblem The aim of the problem of joint scheduling and power control is to minimize the total average transmit power in the wireless multihop networks, subject to given constraints regarding the minimum average data rate per link, as well as the peak transmit power constraints per node The problem is solved in the duality approach, and thus a byproduct is the link sensitivities that tell the change in the minimal total average power with respect to a perturbation of the required data rate on a link.

The driver of an automobile places the vehicle in DRIVE (mode) and starts moving forward (operational state), both allowable actions. As the vehicle moves forward (operational state) at a threshold speed, the vehicle s computer system automatically locks (allowable action) the doors to prevent passengers from inadvertently opening the doors and falling from the vehicle (prohibited action).

The preceding discussions enable us to link system operations, phases, modes, and states. Ultimately these linkages manifest themselves in the deliverable system that has allowable and prohibited actions as documented in the User s manual for safe and proper operating practices. Allowable actions represent physical capabilities that the system provides subject to contract cost, schedule, technology, and risk constraints. In our discussion of the system modes of operation, we considered the need to organize and capture capabilities for a given system element, OPERATING ENVIRONMENT, and design construction and constraints. For each type of capability, we described HOW operational capabilities are: 1. Represented by aggregations of integrated sets of requirements. 2. Documented in the SPS. 3. Allocated and owed down to multiple system levels of abstraction. If we analyze the System Capabilities Matrix from a mode of operation perspective, the matrix reveals combinations of system elements that must be integrated to provide the required operational capabilities for each mode of operation. Each of these combinations of elements and interactions are referred to as the system s physical con guration state or architecture. Thus each mode of operation is accomplished by architectural con gurations of system elements. Let s explore this point further by using Figure 19.7. The icon in the upper left side of the chart symbolically represents the System Capabilities Matrix. Note that an arrow links each of the horizontal rows of capabilities for each mode of operation to a speci c Physical (Architecture) State. Thus, for the POWER OFF mode, there is a unique

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