Abstract
This paper discusses the grand challenges associated with the holy grail of understanding and reaching the ultimate performance limits of wireless networks. Specifically, the next goal in the networking community is to realize the Future Internet. In this paper, we take a step further from the state of the art in this field, and, describe the main challenges associated with desirable optimal network operation and control in future wireless networks.
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Tassiulas L., Ephremides A.: Stability properties of constrained queueing systems and scheduling policies for maximum throughput in multihop radio networks. IEEE Trans. Aut. Contr. 37(12), pp. 1936–1948 (2009).
Tassiulas L., Ephremides A.: Dynamic server allocationto parallel queueswith randomly varying connectivity. IEEE Trans. Information Theory 39(2), pp. 466–478 (1993).
Georgiadis L., Neely M.J., Tassiulas L.: Resource allocationand cross-layer control inwireless networks. Foundations and Trends in Networking 1(1), pp. 1–144 (2006).
van de Ven P.M., Borst S.C., Shneer S.: Instability of MaxWeight scheduling algorithms. In: Proc. Conference on Computer Communications, Rio de Janeiro, Brazil (2009).
Lin X., Shroff N.: The impact of imperfect scheduling on cross-layer rate control in multihop wireless networks. In: Proc. Conference on Computer Communications, Miami, FL (2005).
Neely M.J., Modiano E., Li C.: Fairness and optimal stochastic control for heterogeneous networks. In: Proc. Conference on Computer Communications, Miami, FL (2005).
Chaporkar P., Kar K., Sarkar S.: Throughput guarantees throughmaximal scheduling in wireless networks. In: Proc. Allerton Conf. Control, Commun., Comput., pp. 1557–1567,Monticello, IL (2005).
McKeown N., Mekkittikul A., Anantharam V., Walrand J.: Achieving 100% throughput in an input-queued switch. IEEE Trans. Commun., 47(8), pp. 1260–1267 (1999).
Andrews M., Zhang L.: Achieving stability in networks of input-queued switches. In: Proc. Conference on Computer Communications, Anchorage, AK, (2001).
Chiang M.: Balancing transport and physical layers in wireless multihop networks: Jointly optimal congestion control and power control. IEEE J. Sel. Areas Commun. 23(1), pp. 104–116 (2005).
Bertsekas D., Tsitsiklis J.N.: Parallel and Distributed Computation: Numerical Methods. Prentice-Hall, Upper Saddle River, NJ (1989).
Fudenberg D., Tirole J.: Game Theory. MIT Press, Boston, MA (1991).
Papadimitriou C.: Game theory, algorithms, and the Internet. In: Proc. ACM-SIAM Symposium on Discrete Algorithms, Washington, DC (2001).
Theodorakopoulos G., Baras J.S.: A game for ad hoc network connectivity in the presence of malicious users. In: Proc. Global Telecommun. Conf., San Francisco, CA (2006).
Mathur S., Sankaranarayanan L., Mandayam N.B.: Coalitional games in Gaussian interference channels. In: Proc. IEEE Int. Symposium on Information Theory (ISIT), Seattle, WA (2006).
Dayan P., Daw N.D.: Decision theory, reinforcement learning, and the brain. Cognitive, Affective & BehavioralNeuroscience, pp. 429–453 (2008).
Awerbuch B., Kleinberg R.: Competitive collaborativelearning. Journal of Computer and System Sciences 74, pp. 1271–1288 (2008).
Fudenberg D., Levine D.: The Theory of Learning in Games. MIT Press, Boston, MA (1998).
Xi Y., Yeh E.M.: Pricing, competition, and routing for selfish and strategic nodes in multi-hop relay networks. In: Proc. Conference on Computer Communications, Phoenix, AZ (2008).
Cao X.R., Shen H., Milito R., Wirth P.: Internet pricing with a game theoretical approach: Concepts and examples. IEEE/ACM Trans. Networking 10, pp. 208–216 (2002).
Nisan N., Roughgarden T., Tardos E., Vazirani V.V.: Algorithmic Game Theory. Cambridge Univ. Press, Cambdrige,UK (2007).
Iosifidis G., Koutsopoulos I.: Double auction mechanisms for resource allocation in autonomous networks. IEEE J. Sel. Areas Commun. 28(1), pp. 95–102 (2010).
Katti S., Rahul H., Hu W., Katabi D., Medard M., Crowcroft J.: XORs in the air: Practical wireless network coding. IEEE/ACM Trans. Networking 16(3), pp. 497–510 (2008).
Ahlswede R., Cai N., Li S.R., Yeung R.W.: Network information flow. IEEE Trans. Information Theory 46(4), pp. 1204–1216 (2000).
Liu J., Goeckel D., Towsley D.: Bounds of the gain of network coding and broad casting in wireless networks. In: Proc. Conference on Computer Communications, Anchorage, AK (2001).
Gkantsidis C., Rodriguez P.: Network coding for large scale content distribution. In: Proc. Conference on Computer Communications, Miami, FL (2005).
Jaggi S., Sanders P., Chou P.A., Effros M., Egner S., Jain K., Tolhuizen L.: Polynomial time algorithms for multicast network code construction. IEEE Trans. Information Theory 51(6), pp. 1973–1982 (2005).
Yan X., Yeung R.W., Zhang Z.: The capacity region for multi-source multi-sink network coding. In: Proc. IEEE International Symposiumon Information Theory, Nice, France, (2007).
Stoyan D., Kendall W., Mecke J.: Stochastic Geometry and Its Applications, 2nd ed. Wiley and Sons, New York, NY (1996).
Penrose M.: Random Geometric Graphs, Oxford Studies in Probability. Oxford University Press, Oxford, UK (2003).
Kingman J.: Poisson Processes. Oxford University Press, Oxford, UK (1993).
Daley D., Jones D.V.: An introduction to the theory of point processes. Springer, New York, NY (1988).
Kleinrock L., Silvester J.A.: Optimum transmission radii in packet radio networks or why six is a magic number. In: Proc. National Telecommunications Conference (1978).
Musa S., Wasylkiwskyj W.: Co-channel interference of spread spectrum systems in a multiple user environment. IEEE Trans. Communications 26(10), pp. 1405–1413 (1978).
Baccelli F., Klein M., Lebourges M., Zuyev S.: Stochastic geometry and architecture of communication networks. J. Telecommunication Systems 7(1), pp. 209–227 (1997).
Baccelli F., Zuyev S.: Poisson-Voronoi spanning treeswith applications to the optimization of communication networks. Operations Research 47(4), pp. 619–631 (1999).
Weber S., Yang X., Andrews J., de Veciana G.: Transmission capacity of wireless ad hoc networks with outage constraints. IEEE Trans Information Theory 51(12), pp. 4091–4102(2005).
Baccelli F., Blaszczyszyn B.: Stochastic geometry and wireless networks. Foundations and Trends in Networking (2009).
Haenggi M., Andrews J.G., Baccelli F., Dousse O., Franceschetti M.: Stochastic geometry and random graphs for the analysis and design of wireless networks. IEEE J. Sel. Areas Commun. 27(7), pp. 1029–1046 (2009).
Win M., Pinto P., Shepp L.:Amathematical theory of network interferenceand its applications. Proc. IEEE 97(2), pp. 205–230 (2009).
Weber S., Andrews J.G., Jindal N.: A tutorial on transmission capacity. Submitted to IEEE Trans. Commun. (2009). [Online]. Available: http://arxiv.org/abs/0809.0016
Ganti R.K., Haenggi M.: Interference and outage in clusteredwireless ad hoc networks. IEEE Trans. Information Theory 55, pp. 4067–4086 (2009).
Berger T., Zhen Z., Viswanathan H.: The CEO problem: Multiterminal source coding. IEEE Trans. Information Theory 42(3), pp. 887–902 (1996).
Prabhakaran V., Tse D., Ramchandran K.: Rate region of the quadratic Gaussian CEO problem. In: Proc. IEEE Int. Symposium on Information Theory (ISIT), Chicago, IL (2004).
Cover T.M., Thomas J.A.: Elements of Information Theory. Wiley Series in Telecommunications, New York, NY (1993).
Gastpar M., Vetterli M.: Source-channel communication in sensor networks. Lecture Notes in Computer Science, pp. 162–177 (2003).
Xiao J.-J., Luo Z.-Q.: Multiterminal source-channel communication over an orthogonal multiple-access channel. IEEE Trans. Information Theory 53(9), pp. 3255–3264 (2007).
Draper S.C., Wornell G.: Side information aware coding strategies for sensor networks. IEEE J. Sel. Areas Communications 22(6), pp. 1–11 (2004).
Wyner D., Ziv J.: The rate-distortion function for source coding with side information at the decoder. IEEE Trans. Information Theory 22(1), pp. 1–10 (1976).
Cui S., Xiao J., Goldsmith A., Luo Z.-Q., Poor H.V.: Estimation diversity and energy efficiency in distributed sensing. IEEE Trans. Signal Process. 55(9), pp. 4683–4695 (2007).
Matamoros J., Antón-Haro C.:Opportunisticpower allocationschemes forwireless sensor networks. In: Proc. IEEE Symposium on Signal Processing and Information Technology, Cairo, Egypt (2007).
Levy N., Zeitouni O., Shamai S. (Shitz): Central limit theorem and large deviations of the fading Wyner cellularmodel via product of randommatrices theory. Problems of Information Transmission 45(1), pp. 5–22 (2009).
Simeone O., Somekh O., Poor H.V., Shamai S. (Shitz): Local base station cooperation via finite-capacity links for the uplink of wireless networks. IEEE Trans. Information Theory 55(1), pp. 190–204 (2009).
Levy N., Zeitouni O., Shamai S. (Shitz): Information theoretic aspects of users’ activity in a Wyner-like cellular model. IEEE Trans. Information Theory 56(5), pp. 2241–2248 (2010).
Somekh O., Simeone O., Poor H.V., Shamai S. (Shitz): Cellular systems with full-duplex amplify-and-forwardrelaying and cooperativebase stations. In: Proc. IEEE Int. Symp. Inform. Theory, Nice, France (2007).
Simeone O., Somekh O., Kramer G., Poor H.V., Shamai S. (Shitz): Uplink sum-rate analysis of a multicell system with feedback. In: Proc. Allerton Conference on Communication, Control, and Computing, Monticello, IL (2008).
Shakkottai S., Srikant R.: Network Optimization and Control. Foundations and Trends in Networking 2(3) (2007).
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Antón-Haro, C. et al. (2012). The ultimate limits of wireless networks. In: The Newcom++ Vision Book. Springer, Milano. https://doi.org/10.1007/978-88-470-1983-6_5
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DOI: https://doi.org/10.1007/978-88-470-1983-6_5
Publisher Name: Springer, Milano
Print ISBN: 978-88-470-1982-9
Online ISBN: 978-88-470-1983-6
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