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3. Quality of Service Modeling Issues. Many more recent MAC layer schedulers [13,36] designed from a purely queuing-theoretic perspective can handle the quality-of-service (QoS) requirements well but lack a good channel model. They suffer from the same problem as in multiaccess issues because of their usual simpli cation of channel model in the on/off channel situation for ease of analysis. Thus, information theory may be a possible choice for extension of the channel model to a more realistic situation. 4. Scheduling and Control Issues. Queuing theory is closely related to control theory, in particular stochastic control with the application on call admission control and ow control on the network [37]. Network parameters such as QoS requirements, call blocking probability, layer 2 retransmission probability, leaky-bucket rate, and link reliability can all participate as control parameters in the control systems. However, the control space is usually constrained to unrealistic channel mode. Thus, the parameters controlling the link reliability are particularly worth reinvestigation from the informationtheoretic perspective. Besides, stability analysis provided by stochastic queuing control (which will be discussed in a later section) would possibly be modi ed if the control space were provided from information theory. There are also many other approaches in the cross-layer scheduler design [11,40] based on very simple model of the physical layer, particularly for the QoS modeling, scheduling, and control issues. Nevertheless, no matter which speci c design focuses we are interested in, information theory provides signi cant extensions to queuing analysis in the existing literature.

of the statement in which they are defined The scope of such variables is limited to the statement body Often the statement body itself is a block, which in turn may contain other blocks A name introduced in a control structure is local to the statement and the scopes nested inside the statement:

// index is visible only within the for statement for (vector<int>::size_type index = 0; index != vecsize(); ++index) { // new scope, nested within the scope of this for statement int square = 0; if (index % 2) // ok: index is in scope square = index * index; vec[index] = square; } if (index != vecsize()) // error: index is not visible here

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Not that I didn t have a soldering gun I did. I d won it in a bet with my chessmate as to whether James Thurber was yet among the living. My luck being better than James s, I stashed the gun for future misuse. Liquid Solder seemed easier than the gun, if only it lived up to its name. Opening the tube of gunk (which smelled exactly like model cement), I tried my best to join wires with it. It was silvery, after all. And it did say Solder on the label, loud and clear. All I succeeded in doing, in the end, was to ruin a bunch of good components by smearing the nonconductive silver model cement all over the solderable leads, insulating them and making them nonsolderable forever. Well, my world and welcome to it!

Figure 11.1 illustrates the cross-layer scheduling model, where the scheduling algorithm at the MAC layer is modeled as an optimization problem with respect to some physical layer constraints as well as application QoS constraints. At every timeslot, the scheduling algorithm has to produce the rate allocation r = (r1, . . . , rK) as well as the power allocation p = (p1, . . . , pK) for all the K users based on the observation of the current channel state information (CSI) from the physical layer and the queue state information (QSI) from the application layer. The rate allocation and power allocation are selected so as to optimize some system objectives, summarized below. Problem 11.1 (General Cross-Layer Scheduling Problem) A multiuser wireless network can be modeled by a dynamic system with states evolution given by the following:

If the program needs to access the value of a variable used in the control statement, then that variable must be defined outside the control structure:

vector<int>::size_type index = 0; for ( /* empty */ ; index != vecsize(); ++index) // as before if (index != vecsize()) // ok: now index is in scope // as before

Earlier versions of C++ treated the scope of variables defined C++ a for differently: insidePrimer, Fourth Edition Variables defined in the for header were By Stanley if they were Lajoie, treated asB Lippman,Jos edefined just before the for Older C++ Barbara E Moo programs may have code that relies on being able to access these control variables outside the scope of the for

Channel State Information (CSI). The channel fading states H(t) = [H1(t), . . . , HK(t)], where Hk(t) is the channel fading process between the base station and the kth user.

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