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Figure 11.5. Flowchart of the joint scheduling and power control algorithm in Kozat et al. [41].

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ME: You said that at first you were not successful at trading But John told me that you had a trade on the Euro against the Japanese Yen that Anderson took for you CRAIG: That s true That one trade made ten million dollars for the firm ME: John told me it was five million CRAIG: No, that s not correct Anderson at first bought five million Euros on the trade but we made a little over ten million dollars on the trade when I finally got out I knew that the Euro was falling back to a solid point of support on the charts, and I knew that the economic outlook for the Eurozone economy was much brighter than it was for Japan, which was still in a huge economic slump and had set interest rates at an unbelievably low point.

Kozat et al. [41] formulate the joint problem of power control and scheduling similar to that of ElBatt and Ephremides [40]. The authors also try to minimize the total transmit power in each timeslot while guaranteeing the end-to-end quality of service for sessions in terms of bandwidth and bit error rate probabilities. They prove that the problem of nding feasible power assignment and schedule under given source data rate constraint and SINR requirements is NP-completeness, hence focus should be put on nding the near-optimal and ef cient algorithms to perform the joint scheduling and power allocation. Two heuristics are proposed: One is top-down design and the other is bottom-up design. The rst approach tries to nd the feasible maximal matching of links and then tries to further reduce the energy consumption by moving links from congested timeslots to the empty or less congested one. The procedure of this algorithm is shown in Figure 11.5. The second approach is a bottom-up method by adding one link at each iteration. The adding of links follows the water- lling method, where links are added to timeslots where the links are still feasible and the total power level increased is minimized. Behzad and Co-workers [42, 43] propose a cross-layer design of power control and scheduling based on a novel interference graph (the Power-Based Interference Graph). The set of vertices in this graph is the set of links in the network, and two vertices (i1 , j1 ) and (i2 , j2 ) in the graph are connected if and only if one of the following conditions hold: r Nodes i1 , j1 , i2 , and j2 are not distinct. r Transmissions i1 j1 and i2 j2 cannot begin simultaneously.

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