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Access point selection in heterogeneous wireless networks using belief propagation

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Abstract

The next generation wireless network will be composed by various heterogenous wireless access networks, such as cellular network, worldwide interoperability for microwave access (WiMAX), wireless local area network (WLAN), etc. Different access networks cooperatively provide high-bandwidth connectivity with bandwidth guarantees. This paper proposes a utility-based access point selection scheme, which selects an accessible point for each user, such that the bandwidth requirement of each user is satisfied, and also the defined utility function is maximized. Due to the NP-complete nature of the problem, the existing proposals apply the greedy method to find a solution. We find that belief propagation is an efficient tool to solve this problem, and thus, we derive the same optimization objective in a new way, and then draw a factor graph representation which describes our combinatorial optimization problem. Afterwards, we develop the belief propagation algorithm, and show that our algorithm converges. Finally, we conduct numerical experiments to evaluate the convergency and accuracy of the belief propagation in load balancing problem.

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References

  1. Ali T, Saquib M, Mollah M M. Performance analysis of vertical handover algorithm based on expected WLAN lifetime. In: Proceedings of IEEE Global Telecommunications Conference, Houston, 2011. 1–5

    Google Scholar 

  2. Chan A, Liew S C. Performance of VOIP over multiple co-located IEEE 802.11 wireless LANs. IEEE Trans Mobile Comput, 2009, 8: 1063–1077

    Article  Google Scholar 

  3. Lee S K, Sriram K, Kim K, et al. Vertical handoff decision algorithms for providing optimized performance in heterogeneous wireless networks. IEEE Trans Veh Technol, 2009, 58: 865–881

    Article  Google Scholar 

  4. Tragos E Z, Tsiropoulos G, Karetsos G T, et al. Admission control for QoS support in heterogeneous 4G wireless networks. IEEE Netw, 2008, 22: 30–37

    Article  Google Scholar 

  5. Bejerano Y, Han S J. Cell breathing techniques for load balancing in wireless LANs. IEEE Trans Mobile Comput, 2009, 8: 735–749

    Article  Google Scholar 

  6. Bejerano Y, Han S J, Li L. Fairness and load balancing in wireless LANs using association control. IEEE/ACM Trans Netw, 2007, 15: 560–573

    Article  Google Scholar 

  7. Xie J, Howitt I. Multi-domain WLAN load balancing in WLAN/WPAN interference environments. IEEE Trans Wirel Commun, 2009, 8: 4884–4894

    Article  Google Scholar 

  8. Wang H, Ding L H, Wu P, et al. Qos-aware load balancing in 3GPP long term evolution multi-cell networks. In: Proceedings of IEEE International Conference on Communications, Kyoto, 2011. 1–5

    Google Scholar 

  9. Chai R, Wang X J, Chen Q B, et al. Utility-based bandwidth allocation algorithm for heterogenous wireless networks. Sci China Inf Sci, 2013, 56: 95–107

    Article  MathSciNet  Google Scholar 

  10. Chandrasekhar V, Andrews J G, Gatherer A. Femtocell networks: a survey. IEEE Commun Mag, 2008, 46: 59–67

    Article  Google Scholar 

  11. Sohn I, Lee S H, Andrews J G. Belief propagation for distributed downlink beamforming in cooperative MIMO cellular networks. IEEE Trans Wirel Commun, 2011, 10: 4140–4149

    Article  Google Scholar 

  12. Shrivastava V, Ahmed N, Rayanchu S, et al. CENTAUR: realizing the full potential of centralized WLANs through a hybrid data path. In: Proceedings of the 15th Annual International Conference on Mobile Computing and Networking, New York, 2009. 297–308

    Google Scholar 

  13. Hung K L, Bensaou B. Distributed rate control and contention resolution in multi-cell IEEE 802.11 WLANs with hidden terminals. In: Proceedings of the 11th ACM International Symposium on Mobile Ad Hoc Networking and Computing, New York, 2010. 51–60

    Google Scholar 

  14. Rangan S, Madan R. Belief propagation methods for intercell interference coordination in femtocell networks. IEEE J Sel Area Comm, 2012, 30: 631–640

    Article  Google Scholar 

  15. Kschischang F R, Frey B J, Loeliger H A. Factor graphs and the sum-product algorithm. IEEE Trans Inform Theory, 2001, 47: 498–519

    Article  MATH  MathSciNet  Google Scholar 

  16. Leng M, Wu Y C. Distributed clock synchronization for wireless sensor networks using belief propagation. IEEE Trans Signal Proces, 2011, 59: 5404–5414

    Article  MathSciNet  Google Scholar 

Download references

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Authors and Affiliations

  1. State Key Lab of Integrated Service Networks, Xidian University, Xi’an, 710072, China

    RongHui Hou, JianDong Li, Min Sheng & ChunGang Yang

Authors
  1. RongHui Hou
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  2. JianDong Li
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  3. Min Sheng
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  4. ChunGang Yang
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Correspondence to RongHui Hou.

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Hou, R., Li, J., Sheng, M. et al. Access point selection in heterogeneous wireless networks using belief propagation. Sci. China Inf. Sci. 57, 1–10 (2014). https://doi.org/10.1007/s11432-013-4974-7

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  • DOI: https://doi.org/10.1007/s11432-013-4974-7

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