Abstract
We propose to combine the beamforming technique with Resource Block (RB) allocation algorithms to improve the performance in OFDMA networks. With MIMO antennas, the beamforming technique improves the received signal power which increases the RB’s capacity and reduces the neighbouring cell users’ interference. When the inter-cell interference channels are known, the beamforming parameters could be applied to the iterative scheduling methods to enhance the performance of the beamforming technique, hence increasing the total system throughput.
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Notes
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SYSTEMATIC PARIS-REGION and the SOAPS.2 project are supported by the French Ministry of Industry, the Île-de-France Regional Council, the department of Essonne, and the department of Yvelines.
References
B.S. Tsybakov, File transmission over wireless fast fading downlink. IEEE Trans. Inf. Theory 48, 2323–2337 (2002)
H.A.M Ramli, R. Basukala, K. Sandrasegaran, R. Patachaianand, Performance of Well Known Packet Scheduling Algorithms in the Downlink 3GPP LTE System, in 2009 IEEE 9th Malaysia International Conference on Communications (MICC), pp. 815–820 (2009)
S. Shakkottai, A. Stolyar, Scheduling for Multiple Flows Sharing a Time-varying Channel: The Exponential Rule, Amer. Mathematical Soc. Translations, Series 2 (a volume in memory of F. Karpelevich), Y. M. Suhov, Ed., vol. 207 (2002)
G. de Veciana, B. Sadiq, S. JunBaek, Delay-optimal opportunistic scheduling and approximations: the log rule. IEEE/ACM Trans. Netw. 19(2), 405–418 (2011)
S. Sesia, M. Baker, I. Toufik, LTE - The UMTS Long Term Evolution: From Theory to Practice Wiley Press, London (2009)
R.S. Blum, MIMO capacity with interference. IEEE J. Sel. Areas Commun. 21(5), 793–801 (2003)
D.J. Love, R.W. Heath, T. Strohmer, Grassmannian beamforming for multiple-input multiple-output wireless systems channels. IEEE Trans. Info. Theory 49(10), 2735–2747 (2003)
T. Yoo, A. Goldsmith, On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming. IEEE J. Sel. Areas Comm. 24(3), 528–541 (2006)
J. Zhang, J.G. Andrews, Adaptive spatial intercell interference cancellation in multicell wireless networks. IEEE J. Sel. Areas Comm. 28(9), 1455–1468 (2010)
I. Sohn, S.H. Lee, J.G. Andrews, Belief propagation for distributed downlink beamforming incooperative MIMO cellular networks, IEEE Trans. on Wireless Comm. vol. 10, no. 12, 4140–4149 (2011)
G. Piro, L. Grieco, G. Boggia, F. Capozzi, P. Camarda, Simulating LTE cellular systems: an open source framework. IEEE Trans. Veh. Tech. 60(2), 498–513 (2010)
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Huang, F., Veque, V., Tomasik, J. (2014). Multi-cell Resource Block Allocation Framework. In: Czachórski, T., Gelenbe, E., Lent, R. (eds) Information Sciences and Systems 2014. Springer, Cham. https://doi.org/10.1007/978-3-319-09465-6_3
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DOI: https://doi.org/10.1007/978-3-319-09465-6_3
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