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ALOHA networks: a game-theoretic approach

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Abstract

In this paper we consider a wireless network consisting of various nodes, where transmissions are regulated by the slotted ALOHA protocol. Nodes using the protocol behave autonomously, and decide at random whether to transmit in a particular time slot. Simultaneous transmissions by multiple nodes cause collisions, rendering the transmissions useless. Nodes can avoid collisions by cooperating, for example by exchanging control messages to coordinate their transmissions. We measure the network performance by the long-term average fraction of time slots in which a successful transmission takes place, and we are interested in how to allocate the performance gains obtained from cooperation among the nodes. To this end we define and analyze a cooperative ALOHA game. We show that this type of game is convex and we consider three solution concepts: the core, the Shapley value, and the compromise value. Furthermore, we develop a set of weighted gain splitting (WGS) allocation rules, and show that this set coincides with the core of the game. These WGS allocation rules can be used to provide an alternative characterization of the Shapley value. Finally, we analyze the sensitivity of the cooperative solution concepts with respect to changes in the wireless network.

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References

  • 802.11-2007 (2007) IEEE standards for information technology—Telecommunications and information exchange between systems—local and metropolitan area network—specific requirements—Part 11: wireless LAN medium access control (MAC) and physical layer (PHY) specifications

  • Abramson N (1970) The ALOHA system: another alternative for computer communications. In: Proceedings of AFIPS 1970 (Fall), pp 281–285

  • Altman E, El Azouzi R, Jiménez T (2004) Slotted Aloha as a game with partial information. Comput Netw 45:701–713

    Article  MATH  Google Scholar 

  • Aram A, Singh C, Sarkar S, Kumar A (2009) Cooperative profit sharing in coalition based resource allocation in wireless networks. In: Proceedings of IEEE INFOCOM 2009, pp 2123–2131

  • Başar T, Olsder G (1999) Dynamic noncooperative game theory. Society for Industrial and Applied Mathematics, Philadelphia

    MATH  Google Scholar 

  • Borm P, Hamers H, Hendrickx R (2001) Operations research games: A survey. TOP 9:139–199

    Article  MathSciNet  MATH  Google Scholar 

  • Cao L, Zheng H (2005) Distributed spectrum allocation via local bargaining. In: Proceedings of IEEE SECON 2005, pp 475–486

  • Esmaeili M, Aryanezhad M-B, Zeephongsekul P (2009) A game theory approach in seller-buyer supply chain. Eur J Oper Res 195:442–448

    Article  MathSciNet  MATH  Google Scholar 

  • Etkin R, Parekh A, Tse D (2007) Spectrum sharing for unlicensed bands. IEEE J Sel Areas Commun 25:517–528

    Article  Google Scholar 

  • Gillies D (1953) Some theorems on \(n\)-person games. Dissertation Princeton University Department of Mathematics

  • Hamers H, Suijs J, Tijs S, Borm P (1996) The split core for sequencing games. Games Econ Behav 15:165–176

    Article  MathSciNet  MATH  Google Scholar 

  • Han Z, Liu K (2008) Resource allocation for wireless networks: basics, techniques, and applications. Cambridge University Press, New York

    Book  Google Scholar 

  • Han Z, Poor H (2009) Coalition games with cooperative transmission: a cure for the curse of boundary nodes in selfish packet-forwarding wireless networks. IEEE Trans Commun 57:203–213

    Article  Google Scholar 

  • Hollander Y, Prashker J (2006) The applicability of non-cooperative game theory in transport analysis. Transportation 33:481–496

    Google Scholar 

  • Hossain E, In Kim D, Bhargava V (2011) Cooperative Cellular Wireless Networks. Cambridge University Press, New York

  • Ichiishi T (1981) Super-modularity: applications to convex games and the greedy algorithm for LP. J Econ Theory 25:283–286

    Article  MathSciNet  MATH  Google Scholar 

  • Khan Z, Glisic S, DaSilva L, Lehtomäki J (2011) Modeling the dynamics of coalition formation games for cooperative spectrum sharing in an interference channel. IEEE Trans Comput Intel AI Games 3:17–30

    Article  Google Scholar 

  • La R, Anantharam V (2004) A game-theoretic look at the Gaussian multiaccess channel. In: Proceedings of the March 2003 DIMACS workshop on network information theory, pp 87–106

  • Levin Y, McGill J, Nediak M (2009) Dynamic pricing in the presence of strategic consumers and oligopolistic competition. Manage Sci 55:32–46

    Article  MATH  Google Scholar 

  • Ma R, Misra V, Rubenstein D (2009) An analysis of generalized slotted-Aloha protocols. IEEE/ACM Trans Netw 17:936–949

    Article  Google Scholar 

  • MacKenzie A, Wicker S (2001) Selfish users in Aloha: a game-theoretic approach. In: Proceedings of VTC 2001, pp 1354–1357

  • MacKenzie A, Wicker S (2003) Stability of multipacket slotted Aloha with selfish users and perfect information. In: Proceedings of INFOCOM 2003, pp 1583–1590

  • Mathur S, Sankaranarayanan L, Mandayam N (2006) Coalitional games in Gaussian interference channels. In: Proceedings of IEEE international symposium on information theory, pp 2210–2214

  • Mathur S, Sankaranarayanan L, Mandayam N (2008) Coalitions in cooperative wireless networks. IEEE J Sel Areas Commun 26:1104–1115

    Article  Google Scholar 

  • Nagarajan M, Sošić G (2008) Game-theoretic analysis of cooperation among supply chain agents: review and extensions. Eur J Oper Res 187:719–745

    Article  MATH  Google Scholar 

  • Niyato D, Hossain E (2006) A cooperative game framework for bandwidth allocation in 4G heterogeneous wireless networks. In: Proceedings of ICC 2006, pp 4357–4362

  • Ritzberger K (2002) Foundations of non-cooperative game theory. Oxford University Press, Oxford

    Google Scholar 

  • Roberts L (1975) ALOHA packet system with and without slots and capture. ACM SIGCOMM Comput Commun Rev 5:28–42

    Article  Google Scholar 

  • Rom R, Sidi M (1990) Multiple access protocols. Springer, New York

    Book  MATH  Google Scholar 

  • Saad W, Han Z, Debbah M, Hjørungnes A (2009a) A distributed coalition formation framework for fair user cooperation in wireless networks. IEEE Trans Wirel Commun 8:4580–4593

    Article  Google Scholar 

  • Saad W, Han Z, Debbah M, Hjørungnes A, Başar T (2009b) Coalitional game theory for communication networks. IEEE Signal Process Mag 26:77–97

    Article  Google Scholar 

  • Saraydar C, Mandayam N, Goodman D (2002) Efficient power control via pricing in wireless data networks. IEEE Trans Commun 50:291–303

    Article  Google Scholar 

  • Shapley L (1953) A value for \(n\)-person games. In: Kuhn H, Tucker A (Eds.), Contributions to the Theory of Games II. Annals of Mathematics Study, pp 307–317

  • Shapley L (1971) Cores of convex games. Int J Game Theory 1:11–26

    Article  MathSciNet  MATH  Google Scholar 

  • Suris J, DaSilva L, Han Z, MacKenzie A (2007) Cooperative game theory for distributed spectrum sharing. In: Proceedings of ICC 2007, pp 5282–5287

  • Tijs S (1981) Bounds for the core and the \(\tau \)-value. In: Moeschlin O, Pallaschke D (Eds.), Game Theory and Mathematical Economics, pp 123–132

  • Von Neumann J, Morgenstern O, Rubinstein A, Kuhn H (2007) Theory of games and economic behavior. Greenwood Publishing Group, Westport

    MATH  Google Scholar 

  • Xu K, Gerla M, Bae S (2002) How effective is the IEEE 802.11 RTS/CTS handshake in ad hoc networks? In: Proceedings of GLOBECOM, pp 72–76

  • Zander J (1991) Jamming in slotted ALOHA multihop packet radio networks. IEEE Trans Commun 39:1525–1531

    Article  Google Scholar 

  • Zorzi M, Pupolin S (1994) Slotted ALOHA for high-capacity voice cellular communications. IEEE Trans Veh Technol 43:1011–1021

    Article  Google Scholar 

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Correspondence to Sebastián Marbán.

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Marbán, S., van de Ven, P., Borm, P. et al. ALOHA networks: a game-theoretic approach. Math Meth Oper Res 78, 221–242 (2013). https://doi.org/10.1007/s00186-013-0441-x

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