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networks Since the number of possible operations of a wireless network is large, the formulation and solutions of this problem is large, and critical challenges still exist Here we list several major challenges r The Goodness of Power Control Many works on joint optimal scheduling, routing, and power control show that if ne-grained rate adaptation is adopted in the wireless network, the optimal power allocation policy is 0 Pmax policy Therefore, it is not necessary to incorporate power control into layers of protocol stack Studies are needed to be conducted to nd in what situation power control is helpful and in what situation power control is helpless Analysis on this problem is still a critical issue that disturbs the research of transmission power control problem in wireless networks r The Model of Cross-Layer Power Control Problem.



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If we integrate these missing elements with the sequencing of the system solution domains, we can create a methodology that enables us to apply it to any entity, regardless of level of abstraction. The steps of the methodology are: Step 1: Step 2: Step 3: Step 4: Step 5: Step 6: Understand the entity s opportunity/problem and solution spaces. Develop the entity s Requirements Domain Solution. Develop the entity s Operations Domain Solution. Develop the entity s Behavioral Domain Solution. Develop the entity s Physical Domain Solution. Evaluate and optimize the entity s total design solution.





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When we depict these steps, their initial sequencing, and interrelationships graphically, Figure 26.1 emerges. We will refer to this as the SE Process Model. Before we proceed with describing the SE Process Model, let s preface our discussion with several key points: 1. The description uses the term, entity, to denote a logical/functional capability or physical item such as PRODUCT, SUBSYSTEM, ASSEMBLY, SUBASSEMBLY, and PART. You could apply the term, component. However, there may be some unprecedented systems in which physical components may not emerge until later in a design process. Therefore, we use the term entity. 2. The act of partitioning a problem space into lower level solution spaces is traditionally referred to in SE as decomposition. Since decomposition connotes various meanings, some people prefer to use the term expansion. 3. Since the model applies to any level of abstraction, role-based terms such as Acquirer, User, and System Developer are contextual. For example, the Acquirer (role) of a system con-

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So far, all the works on the cross-layer power control problem involving MAC layer and network layer assume scheduling as the MAC scheme and xed single-path routing as the routing protocol, which is not suf cient or realistic in wireless networks Because contention-based MAC schemes (eg, 80211) are the dominating MAC schemes in current wireless multihop networks, it is desired to formulate power control, contention-based MAC, and routing as a constrained optimization problem and study their interactions and performance r Practical Algorithms for Cross-Layer Power Control Problem In recent years, works on cross-layer power control are mainly focused on formulating the problem as a constrained optimization problem and deriving an algorithm from the formulated problem, then analyzing its performance The proposed algorithms are either centralized or induce signi cant computational overhead Both should be avoided in wireless ad hoc networks.

Understand Opportunity / / Problem & Solution Spaces Understand Opportunity Problem & Solution Spaces

Core Techniques: Joint Application Design Process Modeling Data Modeling System Prototyping Deliverables: 1. Detailed design of new business process 2. System data model 3. System prototype 4. Detailed plan and budget for BUILD phase

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Thus, this problem is still open, and a lot of works can be done in this direction r The Overhead of Cross-Layer Power Control Transmission power control will induce additional computational and communication overhead to the operation of wireless ad hoc networks Usually the relationship between bene ts and costs of power control is not linear Thus, in some situations, power control makes no difference to the performance of network; even worse, it may degrade the performance Therefore, clear understanding of the tradeoff between the bene t obtained and the overhead required can help to tune the operation of wireless networks into its optimal performance..

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