Resource Allocation for M2M Communication in Heterogeneous Network: Coalitional Game Theory Approach

Authors

  • Hashim Safdar UTM MIMOS
  • Norsheila Fisal UTM-MIMOS, Ceneter of Excellence for Telecommunication Technology, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310, UTM Johor Bahru, Johor Malaysia
  • Rahat Ullah Department of Electrical Engineering, Federal Urdu University of Arts Science and Technology, Islamabad, 44000, Pakistan
  • Zubair Khalid Department of Electrical Engineering, Federal Urdu University of Arts Science and Technology, Islamabad, 44000, Pakistan
  • Wajahat Maqbool UTM-MIMOS, Ceneter of Excellence for Telecommunication Technology, Faculty of Electrical Engineering, Universiti Teknologi Malaysia, 81310, UTM Johor Bahru, Johor Malaysia

DOI:

https://doi.org/10.11113/jt.v67.1753

Keywords:

Heterogeneous cellular network, machine-to-machine communications, cooperative game, uplink resource allocation

Abstract

The heterogeneous cellular network (HCN) is a promising technology to handle the rising number of devices due to their universal presence. This rising popularity HCN based Machine-to-Machine (M2M) communications is opening new opportunities and also bringing forth new system design issues. However, the main challenge of M2M communication is the possibility of huge traffic and significant difference in the nature of M2M traffic than the current commercial traffic for which current cellular network is designed and optimized. In this article, we investigate the uplink resource allocation problem of M2M devices (MDs) in the multiple Femto base station's coverage. We first model the uplink power and sub-carrier allocation in femtocells independently; Based on the cooperative game resource allocation among MDs is analyzed through non-transferable utility game to enhance the data rate performance with minimum utilization of power. Simulation results show that the resource allocation model based on cooperative game is able to provide a fair distribution of data rate compared with non-cooperative and greedy type of MDs.

 

References

B. Pareglio. 2011. Machine to Machine Communications. In ETSI TC M2M Workshop.

K. Zheng, F. Hu, W. Wang, W. Xiang, and M. Dohler. 2012. Radio resource allocation in LTE-advanced cellular networks with M2M communications.Communications Magazine, IEEE. 50: 184–192.

S.-Y. Lien, K.-C. Chen, and Y. Lin. 2011. Toward Ubiquitous Massive Accesses in 3GPP Machine-to-machine communications. Communications Magazine, IEEE. 49: 66–74.

L. Atzori, A. Iera, and G. Morabito. 2010. The Internet of Things: A Survey. Computer Networks. 54: 2787–2805.

B. Emmerson. 2010. Perspective-m2m: The Internet of 50 Billion Devices. European Editor of M2M Magazine.

Z. Khalid, N. Fisal, H. Safdar, W. Maqbool, S. Zubair, and A. Khan2013. M2M Communication in Virtual Sensor Network for SHAAL. Jurnal Teknologi. 65.

X. Lagrange. 1997. Multitier Cell Design. Communications Magazine, IEEE. 35: 60–64.

H. S. Dhillon, R. K. Ganti, F. Baccelli, and J. G. Andrews. 2012. Modeling and Analysis of K-tier Downlink Heterogeneous Cellular Networks. Selected Areas in Communications, IEEE Journal on. 30: 550–560.

J. G. Andrews, H. Claussen, M. Dohler, S. Rangan, and M. C. Reed. 2012. Femtocells: Past, Present, and Future. Selected Areas in Communications, IEEE Journal on. 30: 497–508.

H. S. Dhillon, R. K. Ganti, and J. G. Andrews. 2012. Load-aware Modeling and Analysis of Heterogeneous Cellular Networks. arXiv preprint arXiv:1204.1091.

E. Yaacoub and Z. Dawy. 2012. A Survey on Uplink Resource Allocation in OFDMA Wireless Networks. Communications Surveys & Tutorials, IEEE. 14: 322–337.

H. Viswanathan, K. Mun, and F. Scholler. 2012. Modeling and Analysis of Cellular Wireless Machine-to-Machine Communication Traffic. IEEE Journal on Sel. Areas in Communications.

T. Kwon and J.-W. Choi. 2012. Multi-group Random Access Resource Allocation for M2M Devices in Multicell Systems. Communications Letters, IEEE. 16: 834–837.

A. Bartoli, M. Dohler, J. Hernández-Serrano, A. Kountouris, and D. Barthel. 2011. Low-power Low-rate Goes Long-Range: The Case for Secure and Cooperative Machine-to-Machine Communications. In NETWORKING 2011 Workshops. 219–230.

C.-Y. Tu, C.-Y. Ho, and C.-Y. Huang. 2011. Energy-efficient algorithms and evaluations for massive access management in cellular based machine to machine communications. In Vehicular Technology Conference (VTC Fall), 2011 IEEE. 1–5.

V. Y. Borodakiy, I. A. Buturlin, I. A. Gudkova, and K. E. Samouylov. 2013. Modelling and Analysing a Dynamic Resource Allocation Scheme for M2M Traffic in LTE Networks. In Internet of Things, Smart Spaces, and Next Generation Networking, ed: Springer. 420–426.

S. M. Alavi and C. Zhou. 2012. Resource Allocation Scheme for Orthogonal Frequency Division Multiple Access Networks Based on Cooperative Game Theory. International Journal of Communication Systems.

R. B. Myerson. 1997. Game Theory: Analysis of Conflict: Harvard University Press.

S. Guruacharya, D. Niyato, and D. I. Kim. 2012. Access control via coalitional power game. In Wireless Communications and Networking Conference (WCNC), 2012 IEEE. 2824–2828.

M. Hasan, E. Hossain, and D. Niyato. 2013. Random Access for Machine-to-Machine Communication in LTE-Advanced Networks: Issues and Approaches. IEEE Communications Magazine. 5.

K. Lee, O. Jo, and D.-H. Cho. 2011. Cooperative Resource Allocation for Guaranteeing Intercell Fairness in Femtocell Networks. Communications Letters, IEEE. 15: 214–216.

H. Safdar, N. Fisal, R. Ullah, W. Maqbool, F. Asraf, Z. Khalid, et al. 2013. Resource Allocation for Uplink M2M communication: A Game Theory Approach. In Wireless Technology and Applications (ISWTA), 2013 IEEE Symposium on. 48–52.

W. Saad, Z. Han, M. Debbah, A. Hjorungnes, and T. Basar. 2009. Coalitional game theory for communication networks. Signal Processing Magazine, IEEE. 26: 77–97.

B. Wang, Y. Wu, and K. Liu. 2010. Game Theory for Cognitive Radio Networks: An Overview. Computer Networks. 4: 2537–2561.

Z. Han, D. Niyato, W. Saad, and A. Hjørungnes. 2011. Game Theory in Wireless and Communication Networks: Theory, Models, and Applications. Cambridge University Press.

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Published

2014-03-03

Issue

Section

Science and Engineering

How to Cite

Resource Allocation for M2M Communication in Heterogeneous Network: Coalitional Game Theory Approach. (2014). Jurnal Teknologi, 67(1). https://doi.org/10.11113/jt.v67.1753