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This mechanism assigns each user a predetermined and xed portion of the wireless physical layer resource and can eliminate the interference among different users With scheduled medium access, each node transmits packets only with the preassigned frequency band or code, or at the preassigned timeslots Thus no collison in the MAC layer can occur Therefore, scheduling can alleviate energy waste and improve network throughput by collision avoidance Moreover, the scheduling algorithm is based on graph theory, and it is easier to analyze its performance and interplay with other layers in the protocol stack than to analyze random-access MAC protocols ElBatt and Ephremides [40] propose a joint scheduling and power control algorithm to maximize the MAC layer throughput while conserving energy.



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The System Operations Model depicted in Figure 18.1 provides a construct that can be applied to HUMAN-MADE systems. Although there are a number of variants on this graphic, let s explore this model to better understand how it operates. First, a word about the contents of the graphic. Each box in Figure 18.1 represents an integrated, multi-level collection of system use casebased capabilities and activities required to achieve an overall mission objective. We can expand or decompose each of these capabilities into lower level operational capabilities. Ultimately these capabilities and their respective levels of performance are allocated to one or more of the system elements such as PERSONNEL, EQUIPMENT, and FACILITIES. Each decision block (diamond) is referred to as a control or staging point and requires a go no go decision from a decision authority based on a prede ned set of exit or entrance criteria. Each operation and control point is tagged with a unique identi er. The identi er is used to map to a speci c requirements section in the System Performance Speci cation (SPS) or to a detailed narrative in an operational concept description (OCD). Referral For more information about linking ConOps operations and capabilities to the SPS, refer to 28 System Speci cation Practices. Author s Note 18.1 Observe the usage of ConOps and OCD. Various organizations use one or the other term. ConOps, to some people, infers a summary discussion of how a system will operate while OCD infers supporting detail to a ConOps. Pick one term or the other and apply it consistently across programs.





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The joint design is formulated as a constrained optimization problem, and the objective function is to minimize the total power of the scheduled links, and the performance metric concerned is the throughput of neighboring transmissions in the network The concept of admissible transmission scenario with m links is introduced, which satis es the condition that there exists a set of powers, Pij > 0, such that SINRij > , ij links The algorithm runs in two alternating phases the scheduling phase and power control phase and terminates only when an admissible set of users along with their powers is reached In the scheduling phase, a simple scheduling algorithm coordinates independent users transmissions to eliminate strong levels of interference that cannot overcome by power control.

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Figure 18.1 depicts the System Operations Model that applies to most HUMAN-MADE systems. Entry into the model begins when a system is transitioned from its System Development Phase (1) of the system/product life cycle. Entrance criteria (2) are evaluated to assess system readiness to begin active duty. Let s explore the eld operations that follow.

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In the second phase, a distributed power control algorithm determines the set of powers that could be used by the scheduled users to satisfy their transmissions, if one exists One distributed power control algorithm used in the cellular system is used as the heuristic solution to the constrained optimization problem The form of the algorithm is as follows: Pi (N + 1) = min Pmax , Pi (N) SINRi (N).

Operation 3.0 to deploy the system addresses system capabilities and activities required to deliver and install the system at the User s required destination. As each system rolls off the production line and is veri ed against performance requirements, the system is packed and shipped for deployment or distribution to the User. Activities include: transportation; load/unloading; crate/uncrating; initial setup, installation, and assembly; system checkout; veri cation; integration into higher level systems; and veri cation of interoperability at that level. On completion of all planned activities, the Operation 4.0 Conduct System/Mission Training decision is made.

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