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Wireless Network Design: Optimization Models and Solution ...

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350 Nitin Salodkar <strong>and</strong> Abhay Kar<strong>and</strong>ikar<br />

two users has been studied in [5]. Power minimization of each user on the uplink<br />

subject to individual delay constraints has been explored in [41]. The discussion in<br />

Section 14.5.2 borrows from [41]. For a general discussion on theory of multiobjective<br />

optimization see [17, 42].<br />

Various notions of fairness have been explored (See Chapter 8 [27] <strong>and</strong> the references<br />

therein). The proportional fair scheduler has been proposed in [16]. For a<br />

discussion on ‘proportional fairness’ <strong>and</strong> associated properties see [21]. Long term<br />

sum throughput maximization subject to providing minimum throughput or fraction<br />

of slots to users has been variously considered in [29, 15, 4, 31]. Formulation<br />

(14.38) has been considered in [29]. Short term fairness has been investigated in<br />

[24]. Formulation (14.40) in this chapter is from [24].<br />

Throughput optimal policies have been considered in [50, 35]. LCQ has been<br />

suggested in [48], EXP in [43], LWQHPR in [56] <strong>and</strong> M-LWDF is discussed in [3].<br />

Delay optimality of LQHPR policy has been proved in [56]. The indexing heuristic<br />

of Section 14.6.2 has been proposed in [40].<br />

References<br />

1. Agarwal, M., Borkar, V.S., Kar<strong>and</strong>ikar, A.: Structural Properties of Optimal Transmission<br />

Policies over a R<strong>and</strong>omly Varying Channel. IEEE Transactions on Automatic Control 53(6),<br />

1476–1491 (2008)<br />

2. Altman, E.: Constrained Markov Decision Processes. Chapman <strong>and</strong> Hall/CRC Press, Boca<br />

Raton, FL (1999)<br />

3. Andrews, M., Kumaran, K., Ramanan, K., Stolyar, A., Whiting, P., Vijayakumar, R.: Providing<br />

Quality of Service over a Shared <strong>Wireless</strong> Link. IEEE Communications Magazine 39 (1996)<br />

4. Berggren, F., Jantti, R.: Asymptotically Fair Transmission Scheduling over Fading Channels.<br />

IEEE Transactions on <strong>Wireless</strong> Communication 3(1), 326–336 (2004)<br />

5. Berry, R.: Power <strong>and</strong> Delay Trade-offs in Fading Channels (2000). PhD Thesis, Massachusetts<br />

Institute of Technology<br />

6. Berry, R.A., Gallager, R.G.: Communication over Fading Channels with Delay Constraints.<br />

IEEE Transactions on Information Theory 48(5), 1135–1149 (2002)<br />

7. Bertsekas, D.P.: Dynamic Programming <strong>and</strong> Optimal Control, vol. 1. Athena Scientific, Belmont,<br />

MA (1995)<br />

8. Bertsekas, D.P.: Nonlinear Programming. Athena Scientific, Belmont, MA (1999)<br />

9. Bertsekas, D.P., Gallager, R.: Data <strong>Network</strong>s. Prentice Hall (1987)<br />

10. Bertsekas, D.P., Tsitsiklis, J.N.: Neuro-Dynamic Programming. Athena Scientific, Belmont,<br />

MA (1996)<br />

11. Biglieri, E., Proakis, J., Shamai, S.: Fading Channels: Information-Theoretic <strong>and</strong> Communications<br />

Aspects. IEEE Transactions on Information Theory 44(6), 2619–2692 (1998)<br />

12. Borkar, V.S.: Convex Analytic Methods in Markov Decision Processes. In: E. A. Feinberg, A.<br />

Schwartz (Eds.) H<strong>and</strong>book of Markov Decision Processes, pp. 347–375. Kluwer Academic<br />

Publishers, Dordrechet (2001)<br />

13. Borkar, V.S.: An Actor-Critic Algorithm for Constrained Markov Decision Processes. Systems<br />

<strong>and</strong> Control Letters 54, 207–213 (2005)<br />

14. Borkar, V.S.: Stochastic Approximation - A Dynamical Systems Viewpoint. Hindustan Publishing<br />

Agency <strong>and</strong> Cambridge University Press (2008)<br />

15. Borst, S., Whiting, P.: Dynamic Channel-Sensitive Scheduling Algorithms for <strong>Wireless</strong> Data<br />

Throughput <strong>Optimization</strong>. IEEE Transactions on Vehicular Technology 52(3), 569–586<br />

(2002)

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