Pendekatan Teori Permainan Potensial untuk Manajemen Interferensi pada Jaringan Makro-Femto

  • I Wayan Mustika Universitas Gadjah Mada
  • Bagus Made Sabda Nirmala Sekolah Tinggi Manajemen Informatika & Teknik Komputer STIKOM Bali
  • Selo Sulistyo Universitas Gadjah Mada
Keywords: Femtocell, permainan potensial, interferensi, Nash equilibrium

Abstract

In the present paper, a dynamic resource allocation scheme in orthogonal frequency-division multiple access (OFDMA) femtocells is proposed. In the proposed scheme, each femto base station dynamically selects the most appropriate subset of resource blocks (RBs) in a decentralized manner in order to mitigate the downlink cross- and co-tier interference. A game theoretic approach is used to model the interactions among autonomous entities, where each player attempts to maximize its own utility by choosing the best subset of RBs among the available RBs. The proposed utility function captures the cooperative behavior to manage the cross- and co-tier interference, which can be formulated as a potential game and demonstrated to converge to a Nash equilibrium. The simulation results show that the proposed scheme guarantees the convergence to Nash equilibrium and facilitates the femtocells to improve the throughput where the average 50% of user throughput above 7.3 Mbps, while minimizing the cross-tier interference to the macrocell network.

References

Damnjanovic, A., Montojo, J., Wei, Y., Ji, T., Luo, T., Vajapeyam, M., Yoo, T., Song, O., and Malladi, D., A Survey On 3GPP Heterogeneous Networks. IEEE Wirel. Commun., vol. 18 no. 3 (hlm. 10–21), 2011.

Sang, Y. J., Hwang, H. G., and Kim, K. S., A Self-Organized Femtocell for IEEE 802.16e System. GLOBECOM - IEEE Glob. Telecommun. Conference (hlm. 1–5), 2009.

3GPP TR 136 942 v10.2.0., LTE; Evolved Universal Terrestrial Radio Access (E-UTRA); Radio Frequency (RF) system scenarios (3GPP TR 36.942 version 10.2.0 Release 10), 2011.

Chandrasekhar, V. and Andrews, J., Spectrum allocation in tiered cellular networks. IEEE Trans. Commun., vol. 57, no. 10 (hlm. 3059–3068), 2009.

Chandrasekhar, V., Andrews, J., and Gatherer, A. Femtocell Networks : A Survey. Commun. Mag. IEEE, vol. 46 (hlm. 59–67), 2008.

Mitola, J. and Maguire, G. Q., Cognitive radio: making software radios more personal. IEEE Pers. Commun., vol. 6, no. 4 (hlm. 13–18), 1999.

Haykin, S., Cognitive Radio : Brain-Empowered Wireless Communications. IEEE J. Sel. Areas Commun., vol. 23, no. 2 (hlm. 201–220), 2005.

Cheng, S.-M., Lien, S.-Y., Chu, F. S., and Chen, K.-Ch., On Exploiting Cognitive Radio to Mitigate Interference in Macro / Femto Heterogeneous Networks. Wirel. Commun. IEEE, vol. 18, no. J3. (hlm. 40–47), 2011.

Felegyhazi, M. and Hubaux, J., Game theory in Wireless Networks : A Tutorial. EPFL Tech. Report, LCA-REPORT-2006-002, vol. 1 (hlm. 1–15), 2007.

Wang, B., Wu, Y., and Liu, K. J. R., Game theory for cognitive radio networks: An overview. Comput. Networks, vol. 54, no. 14 (hlm. 2537–2561), 2010.

MacKenzie A.B. and Wicker S. B., “Game theory and the design ofself-configuring, adaptive wireless networks,” IEEE Commun. Mag., pp. 126–131, Nov. 2001.

Song, J., Ge, J., Li, J., and Cong, L., Game-theoretic resource allocation of the cognitive Base station in two-tie co-existing femtocell networks. Int. Conf. Intell. Netw. Collab. Syst. 4th (hlm. 525–530), 2012 .

Sugathapala, I. and Rajatheva, N., Game theory Based Capacity and Power Optimization in OFDMA FemtocellNetworks. 6th Int. Conf. Ind. Inf. Syst. ICIIS 2011 - Conf. Proc. (hlm. 120–124), 2011.

Mustika, I. W., Yamamoto ̧ K., Murata, H., and Yoshida, S., Potential Game Approach for Self-Organized Interference Management in Closed Access Femtocell Networks. IEEE 73rd Veh. Technol. Conference (hlm. 1–5), 2011.

Nie, N. and Comaniciu, C., Adaptive channel allocation spectrum etiquette for cognitive radio networks. First IEEE Int’l. Symp. New Front. Dyn. Spectr. Access Networks, 2005.

Anggun Fitrian Isnawati, Risanuri Hidayat, Selo Sulistyo, I Wayan Mustika, “Feasible Solution of Centralized Power Control for Multi Channel Cognitive Femtocell Network,” Proc. of 7th International Conference on Information Technology and Electrical Engineering(ICITEE), Chiang Mai, Thailand, Oct. 2015.

3GPP TR 36.814 V9.0.0, Evolved Universal Terrestrial Radio Access (E-UTRA); Further advancements for E-UTRA physical layer aspects (Release 9). no. Release 9, 2010.

Fudenberg, D. and Tirole, J., Game Theory. The MIT Press, 1991.

How to Cite
I Wayan Mustika, Bagus Made Sabda Nirmala, & Selo Sulistyo. (1). Pendekatan Teori Permainan Potensial untuk Manajemen Interferensi pada Jaringan Makro-Femto. Jurnal Nasional Teknik Elektro Dan Teknologi Informasi, 5(1), 35-41. Retrieved from https://dev.journal.ugm.ac.id/v3/JNTETI/article/view/2968
Section
Articles