Abstract
Multi-hop cellular network (MCN) can preserve the advantages of traditional single-hop cellular networks and ad hoc relaying networks. In multi-hop network, efficient bandwidth management plays an important role in determining network performance. In this paper, a new bandwidth management scheme is proposed for MCNs. By integrating the Nash and Kalai–Smorodinsky bargaining models, the proposed scheme adaptively controls the wireless bandwidth to maximize network efficiency. In the proposed Nash and Kalai–Smorodinsky bargaining models, bargaining powers are decided according to the real-time negotiation process. It is a powerful method for resolving conflicts and enables the system to fairly and effectively control the bandwidth management problem. With a simulation study, it is demonstrated that the proposed scheme approximates an optimized solution under widely diverse traffic load intensities.
Similar content being viewed by others
References
Le, L., & Hossain, E. (2007). Multihop cellular networks: Potential gains, research challenges, and a resource allocation framework. IEEE Communications Magazine, 45(9), 66–73.
Park, Y., & Jung, E.-S. (2007). Resource-aware routing algorithms for multi-hop cellular networks. In International conference on multimedia and ubiquitous engineering (pp. 1164–1167).
Kim, S., & Varshney, P. K. (2004). An integrated adaptive bandwidth management framework for QoS sensitive multimedia cellular networks. IEEE Transaction on Vehicular Technology, 53(3), 835–846.
Kim, S., & Varshney, P. K. (2005). An adaptive bandwidth allocation algorithm for QoS guaranteed multimedia networks. Computer Communications, 28, 1959–1969.
Park, H., & van der Schaar, M. (2007). Bargaining strategies for networked multimedia resource management. IEEE Transactions on Signal Processing, 55(7), 3496–3511.
Kimura, K., Yamamoto, K., Murata, H. & Yoshida, S. (2008). Fair channel and route selection algorithm using Nash bargaining solutions in multi-hop radio networks. In IEEE international workhop on wireless distributed networks (pp. 1–5).
Bian, Z.-A., & Luo, J.-Z. (2007). A cooperative game theory based coalitional agent negotiation model in network service. In Lecture notes in computer science, volume 4402/2007 (pp. 447–458).
Sierra, C., Faratin, P., & Jennings, N. R. (1997). A service-oriented negotiation model between autonomous agents. In MAAMAW-97 (pp. 17–35).
Sun, T., Zhu, Q., Li, S., & Zhou, M. (2007). Open, dynamic and continuous one-to-many negotiation system. In Bio-Inspired Computing: Theories and Applications 2007 (pp. 87–93).
Huining, H., Yanikomeroglu, H., Falconer, D. D. & Periyalwar, S. (2004). Range extension without capacity penalty in cellular networks with digital fixed relays. In IEEE GLOBECOM (pp. 3053–3057).
Newton, M., Thompson, J. S., & Mark Naden, J. (2008). Wireless systems resource allocation in the downlink of cellular multi-hop networks. European Transactions on Telecommunications, 19(3), 299–314.
Niyato, D., & Hossain, E. (2008). A noncooperative game-theoretic framework for radio resource management in 4G heterogeneous wireless access networks. IEEE Transactions on Mobile Computing, 7(3), 332–345.
Author information
Authors and Affiliations
Corresponding author
Additional information
This research was supported by Basic Science Research Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (2012-0005191) and by the Sogang University Research Grant of 201110011.
Rights and permissions
About this article
Cite this article
Kim, S. Multi-hop Network Bandwidth Management Scheme Based on Cooperative Bargaining Models. Wireless Pers Commun 73, 505–516 (2013). https://doi.org/10.1007/s11277-013-1199-4
Published:
Issue Date:
DOI: https://doi.org/10.1007/s11277-013-1199-4