Abstract
The exponential growth in demand for higher data rates and other services in wireless networks require a more dense deployment of base stations which results in more demand of the radio spectrum. Due to the scarcity of radio spectrum and the under-utilization of assigned spectrum, government regulatory bodies have started to review their spectrum allocation policies so as to implement opportunistic spectrum access (sharing) through cognitive femtocells. The cognitive femtocell technique is however challenging due to uncertainties associated with co-tier and cross-tier interference, adjacent channel fading, path loss, and other environment dependent conditions that bring about a progressive degradation of the signal coverage. In this paper, we review the different interference solutions and prioritize the Optimal Static Fractional Frequency Re-use (OSFFR) approach. We analyze the system performance with different metrics such as throughput, number of free channels and Bit Error Rate. Simulation results show that the proposed OSFFR shows an improved result compared to other frequency reuse schemes.
This paper was presented at AFRICOMM 2012 in Younde, Cameroon.
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References
Kebede, G.M., Olayinka, O.: Performance Evaluation of LTE Downlink with MIMO Techniques. (ed.) Blekinge Institute of Technology, Karlskrona, Sweden (2010)
Liu, Y., et al.: Deploying cognitive cellular networks under dynamic resource management. IEEE Wirel. Commun. 20, 82–88 (2013)
Haykin, S.: Cognitive radio: brain-empowered wireless communications. IEEE J. Sel. Areas Commun. 23, 201–220 (2005)
Mitola, J.: Cognitive radio architecture evolution. Proc. IEEE 97, 626–641 (2009)
Akyildiz, I.F., et al.: NeXt generation/dynamic spectrum access/cognitive radio wireless networks: a survey. Comput. Netw. 50, 2127–2159 (2006)
Alaya-Feki, A., et al.: Informed spectrum usage in cognitive radio networks: Interference cartography. In: 2008 IEEE 19th International Symposium on Personal, Indoor and Mobile Radio Communications. PIMRC 2008, pp. 1–5 (2008)
Chen, Z., et al.: Interference modeling for cognitive radio networks with power or contention control. In: 2010 IEEE Wireless Communications and Networking Conference (WCNC), pp. 1–6 (2010)
Soma, P., et al.: Analysis and modeling of multiple-input multiple-output (MIMO) radio channel based on outdoor measurements conducted at 2.5 GHz for fixed BWA applications. In: 2002 IEEE International Conference on Communications. ICC 2002, pp. 272–276 (2002)
Verdú, S.: Spectral efficiency in the wideband regime. IEEE Trans. Inf. Theor. 48, 1319–1343 (2002)
Bennis, M., Niyato, D.: A Q-learning based approach to interference avoidance in self-organized femtocell networks. In: 2010 IEEE GLOBECOM Workshops (GC Wkshps), pp. 706–710 (2010)
Sen, S., et al.: Successive interference cancellation: Carving out mac layer opportunities. IEEE Trans. Mob. Comput. 12, 346–357 (2013)
He, C., et al.: Co-channel interference mitigation in MIMO-OFDM system. In: 2007 International Conference on Wireless Communications, Networking and Mobile Computing. WiCom 2007, pp. 204–208 (2007)
Feng, W.: Intercell interference mitigation based on IDMA. Tsinghua University, Beijing (2007)
Nguyen, T.M., et al.: Interference alignment in a Poisson field of MIMO femtocells. IEEE Trans. Wirel. Commun. 12, 2633–2645 (2013)
Gomadam, K., et al.: Approaching the capacity of wireless networks through distributed interference alignment. In: 2008 IEEE Global Telecommunications Conference. IEEE GLOBECOM 2008, pp. 1–6 (2008)
Jafar, S.A.: Interference alignment: A new look at signal dimensions in a communication network. Now Publishers Inc., Hanover (2011)
Saquib, N., et al.: Fractional frequency reuse for interference management in LTE-Advanced HetNets. IEEE Wirel. Commun. 20, 113–122 (2013)
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© 2015 Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Mwesiga, P., Butime, J., Okou, R. (2015). Throughput Performance of Interference Mitigation Techniques in Cognitive Femtocell Networks. In: Nungu, A., Pehrson, B., Sansa-Otim, J. (eds) e-Infrastructure and e-Services for Developing Countries. AFRICOMM 2014. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 147. Springer, Cham. https://doi.org/10.1007/978-3-319-16886-9_1
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