Resource allocation scheme for orthogonal frequency division multiple access networks based on cooperative game theory

International Journal of Communication Systems

Volumn 27, Issue 8, 2014, Pages 1105-1125

  Alavi, Seyed Mohamad ^a   Zhou, Chi ^a  

^a ILLINOIS INSTITUTE OF TECHNOLOGY   (United States)

Author keywords

cooperative game theory; fairness; OFDMA; resource allocation

Indexed keywords

GAME THEORY; MEDIUM ACCESS CONTROL; RESOURCE ALLOCATION;

COOPERATIVE GAME THEORY; FAIR RESOURCE ALLOCATION; FAIRNESS; MEDIUM ACCESS CONTROL LAYER; NON-TRANSFERABLE UTILITIES; OFDMA; ORTHOGONAL FREQUENCY DIVISION MULTIPLE ACCESS; RESOURCE ALLOCATION SCHEMES;

FREQUENCY DIVISION MULTIPLE ACCESS;

EID: 84906788265     PISSN: 10745351     EISSN: 10991131     Source Type: Journal    
DOI: 10.1002/dac.2398     Document Type: Article

References (40)

1. Han Z, Liu KJR,. Resource Allocation for Wireless Network: Basics, Techniques and Applications. Cambridge University Press: New York, 2008.
2. Saad W, Hun Z, Debbah M,. Coalitional game theory for communication network. IEEE Signal Processing Magazine 2009; 26 (5): 77-97.
3. Muthoo A,. Bargaining Theory with Applications. Cambridge University Press: Cambridge, UK, 1999.
4. Shapley LS,. A value for n-person game, Annals of Mathematics Studies, Vol. 2. Princeton University Press: Princeton, N. J., 1953. 307-317.
5. Yang FM, Chen WM, Cheng TK, Wu JLC,. A study of QoS guarantee and fairness based on cross-layer channel state in Worldwide Interoperability for Microwave Access. International Journal of Communication Systems 2011. DOI: 10.1002/dac. 1297.
6. Oh E, Woo C,. Performance analysis of dynamic channel allocation based on the greedy approach for orthogonal frequency-division multiple access downlink systems. International Journal of Communication Systems 2011. DOI: 10.1002/dac. 1300.
7. Ma K, Han Q, Chen C, Guan X,. Bandwidth allocation for cooperative relay networks based on Nash bargaining solution. International Journal of Communication Systems 2011. DOI: 10.1002/dac.1305.
8. Rong B, Hu RQ, Li W, Qian Y,. Traffic-aware downlink power allocation in multiuser OFDM system. International Journal of Communication Systems 2010; 24 (9): 1136-1149. DOI: 10.1002/dac.1214.
9. Wang H, Jia W,. An optimized scheduling scheme in OFDMA WiMax networks. International Journal of Communication Systems 2009; 23 (1): 23-39. DOI: 10.1002/dac.1039.
10. Shim W, Han Y, Kim S,. Fairness-aware resource allocation in a cooperative OFDMA uplink system. IEEE Transactions on Vehicular Technology 2010; 59 (2): 932-939.
11. Liang JM, Chen JJ, Wang YC, Tseng YC,. A cross-layer framework for overhead reduction, traffic scheduling, and burst allocation in IEEE 802.16 OFDMA networks. IEEE Transactions on Vehicular Technology 2011; 60 (4): 1740-1755.
12. Yaïche H, Mazumdar RR, Rosenberg C,. A game theoretic framework for bandwidth allocation and pricing in broadband networks. IEEE/ACM Transactions on Networking 2000; 8 (5): 667-678.
13. Han Z, Ji Z, Liu KJR,. Fair multiuser channel allocation for OFDMA networks using Nash bargaining solutions and coalitions. IEEE Transactions on Communications 2005; 53 (8): 1366-1376.
14. Han Z, Ji Z, Liu KJR,. Non-cooperative resource competition game by virtual referee in multi-cell OFDMA networks. IEEE Journal on Selected Areas in Communications 2007; 25 (6): 1079-1090.
15. Roughgarden T,. Selfish Routing and the Price of Anarchy. MIT Press: Cambridge, MA, 2005.
16. Han Z, Ji Z, Liu KJR,. Dynamic distributed rate control for wireless networks by optimal Cartel maintenance strategy. IEEE Globecom 2004; 6 (6): 3454-3458.
17. Niyato D, Hossain E,. A cooperative game framework for bandwidth allocation in 4G heterogeneous wireless networks. IEEE ICC, Istanbul, June 2006; 4357-4362.
18. Cai J, Pooch U,. Allocate fair payoff for cooperation in wireless ad hoc networks using Shapley value. Proc. IEEE International Parallel and Distributed Processing Symposium, Santa Fe, New Mexico, Apr. 2004; 219-226.
19. Fang Z, Bensaou B,. Design and implementation of a MAC scheme for wireless ad-hoc networks based on a cooperative game framework. Proc. IEEE International Conference on Communications, Vol. 7, Paris, France, June 2004; 4034-4038.
20. Mathur S, Sankaranarayanan L, Mandayam N,. Coalitions in cooperative wireless networks. IEEE Journal on Selected Areas in Communications 2008; 26: 1104-1115.
21. Han Z, Poor V,. Coalition games with cooperative transmission: a cure for the curse of boundary nodes in selfish packet-forwarding wireless networks. IEEE Transactions on Communications 2009; 57: 203-213.
22. Saad W, Hun Z, Debbah M,. A distributed coalition formation framework for fair user cooperation in wireless networks. IEEE Transaction on Wireless Communication 2009; 8 (9): 4580-4593.
23. Owen G,. Game Theory, 3rd ed. Academic: New York, 2001.
24. N-person cooperative games. (Available from: http://www.math.cuhk.edu.hk/ course/0910/ugb253na/chap7.pdf) [Jan. 2, 2012].
25. Proakis JG,. Digital Communication, 3rd ed. McGrawHill: New York, 1995.
26. Kleinrock L,. Queuing Systems. John Wiley: New York, 1975.
27. Hui DSW, Lau VKN, Lam WH,. Cross-layer design for OFDMA wireless systems with heterogeneous delay requirements. IEEE Transactions on Wireless Communications 2007; 6 (8): 2872-2880.
28. Prasad N, Li K, Wang X,. Fair-rate allocation in multiuser OFDM-SDMA networks. IEEE Transactions on Signal Processing 2009; 57 (7): 2797-2808. DOI: 10.1109/TSP.2009.2016246.
29. Grosu D, Chronopoulos AT, Leung MY,. Load balancing in distributed systems: an approach using cooperative games. Proc. IEEE International Parallel and Distributed Processing Symposium, Ft. Lauderdale, FL, 2002; 52-61.
30. Boyd S, Vandenberghe L,. Convex Optimization. Cambridge University Press: Cambridge, UK, 2004.
31. Yu DW, Liu R,. Dual methods for nonconvex spectrum optimization of multicarrier systems. IEEE Transaction on Communications 2006; 54 (7): 1310-1322.
32. O'Neill B,. A problem of rights arbitration from the Talmud. Mathematical Social Sciences 1982; 2: 345-371.
33. Pulido M, Soriano JS, Llorca N,. Game theory techniques for university management: an extended bankruptcy model. Operation Research 2002; 109: 129-142.
34. Dagan N, Serrano R, Volij O,. A non-cooperative view of consistent bankruptcy rules. Games and Economic Behavior 1997; 18: 55-72.
35. Aumann R, Maschler M,. Game theoretic analysis of a bankruptcy problem from the Talmud. Journal of Economic Theory 1985; 36: 195-213.
36. Ketchpel SP,. Coalition formation among autonomous agents. Proc. of Modelling Autonomous Agents in a Multi-Agent World, Neuchatel, Switzerland, 1993; 73-88.
37. Klusch M,. Utilitarian coalition formation between information agents. In Cooperative Knowledge Processing, Kirn S, O'Hare G, (eds). Springer Verlag: London, 1996.
38. Klusch M, Shehory O,. A polynomial kernel-oriented coalition algorithm for rational information agents. Proc. 2. International Conference on Multi-agent Systems ICMAS-96, Kyoto, Japan, AAAI Press, 1996.
39. Jain R, Chiu D, Hawe W,. A quantitative measure of fairness and discrimination for resource allocation in shared computer system. DEC-TR-301, Eastern Research Lab, Digital Equipment Corporation, Sept. 1984.
40. Rhee W, Cioffi JM,. Increase in capacity of multiuser OFDM system using dynamic subchannel allocation. Proc. IEEE Vehicular Technology Conference, Vol. 6. Spring: Tokyo, Dec. 2000; 1085-1089.