Abstract
Further advances in cellular system performance will likely come from effective interference management techniques. In this chapter we focus on two emerging interference management methods, namely fractional frequency reuse (FFR) and Network MIMO, that transcend the limits of existing interference management techniques in cellular systems. FFR achieves interference avoidance between sectors through intelligent allocation of power, time and frequency resources that explicitly takes into account the impact on the neighbor sector performance of interference that is created as result of the allocation. Network MIMO is aimed at interference cancellation through joint coding and signal processing across multiple base stations. We present an overview of these techniques along with example simulation results to show the benefits that can be achieved. These techniques vary in complexity and the magnitude of the performance benefit achieved.
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References
GPP Specification TR 36.913: Requirements for further advancements for E-UTRA (LTE-Advanced). Available from http://www.3gpp.org/ftp/Specs/html-info/36913.htm (2008)
IEEE 802.16m-07/002r7: IEEE 802.16m System Requirements. Available from http://wirelessman.org/tgm/ (2008)
Buddhikot, M.: Understanding dynamic spectrum access: models, taxonomy and challenges. Proc. IEEE DYSPAN. (March 2007)
Das, S., Viswanathan, H.: Interference mitigation through intelligent scheduling. Proc. Asilomar Conference on Signals and Systems. (November 2006)
Stolyar, A. L., Viswanathan, H.: Self-organizing Dynamic Fractional Frequency Reuse in OFDMA Systems. Proc of INFOCOM. (April 2008)
Third Generation Partnership Project 2: Ultra Mobile Broadband Technical Specifications. http://www.3gpp2.org (March 2007)
Third Generation Partnership Project: Radio Access Network Work Group 1 Contributions. http://www.3gpp.org (September 2005)
Stolyar, A. L.: Maximizing queueing network utility subject to stability: greedy primal-dual algorithm. Queueing Systems (2005) 401–457
Stolyar, A. L., Viswanathan. H.: Self-organizing dynamic fractional frequency reuse in OFDMA Systems. Bell-Labs Alcatel-Lucent Technical Memo (June 2007) http://cm.bell-labs.com/who/stolyar/dffr.pdf
Huang, H., Valenzuela, R. A.: Fundamental Simulated Performance of Downlink Fixed Wireless Cellular Networks with Multiple Antennas. Proc. IEEE PIMRC (2005) 161–165
Shamai, S., Zaidel, B. M.: Enhancing the cellular downlink capacity via co-processing at the transmitting end. Proc. IEEE Veh. Tech. Conf. (Spring 2001) 1745–1749
Karakayali, K., Foschini, G. J., Valenzuela, R. A., Yates, R. D.: On the maximum common rate achievable in a coordinated network. Proc. IEEE ICC (2006) 4333–4338
Karakayali, K., Foschini, G. J., Valenzuela, R. A.: Network coordination for spectrally efficient communications in cellular systems. IEEE Wireless Commun. Mag. 13:4 (2006) 56-61
Foschini, G. J., Karakayali, K., Valenzuela, R. A.: Coordinating multiple antenna cellular networks to achieve enormous spectral efficiency. Proc. IEEE 153:4 (2006) 548-555
Somekh, O., Simeone, O., Bar-Ness, Y., Haimovich, A. M.: Distributed Multi-Cell Zero-Forcing Beamforming in Cellular Downlink Channels. Proc. IEEE Globecom (2006) 1–6
Jing, S., Tse, D. N. C., Soriaga, J. B., Hou, J., Smee, J. E., Padovani, R.: Downlink Macro-Diversity in Cellular Networks. Proc. Int’l Symp. Info. Th. (2007)
Ng, B. L., Evans, J., Hanly, S.: Distributed Downlink Beamforming in Cellular Networks. Proc. Int’l Symp. Info. Th. (2007)
Venkatesan, S.: Coordinating Base Stations for Greater Uplink Spectral Efficiency in a Cellular Network. Proc. PIMRC (2007)
Venkatesan, S.: Coordinating Base Stations for Greater Uplink Spectral Efficiency: Proportionally Fair User Rates. Proc. PIMRC (2007)
Venkatesan, S., Lozano, A., Valenzuela, R. A.: Network MIMO: Overcoming Intercell Interference in Indoor Wireless Systems. Proc. Asilomar Conf. on Signals, Systems and Computers (2007)
Wolniansky, P. W., Foschini, G. J., Golden, G. D., Valenzuela, R. A.: V-BLAST: an architecture for realizing very high data rates over the rich-scattering wireless channel. Proc. 1998 URSI International Symposium on Signals, Systems and Electronics (1998) 295–300
Golden, G. D., Foschini, G. J., Valenzuela, R. A., Wolniansky, P. W.: Detection algorithm and initial laboratory results using V-BLAST space-time communication architecture. IEEE Electronics Letters 35 (1999) 14–16
Rashid-Farrokhi, F., Tassiulas, L., Liu, K. J. R.: Joint optimal power control and beamforming in wireless networks using antenna arrays. IEEE Trans. Commun. 46 (1998) 1313–1324
Hanly, S.: An algorithm for combined cell-site selection and power control to maximize cellular spread spectrum capacity. IEEE J. Sel. Areas. Commun. 13 (1995) 1332–1340
Yates, R., Huang, C. Y.: Integrated power control and base station assignment. IEEE Trans. Veh. Tech. 44 (1995) 638–644
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Viswanathan, H., Venkatesan, S. (2010). Spectrum and Interference Management in Next-Generation Wireless Networks. In: Cormode, G., Thottan, M. (eds) Algorithms for Next Generation Networks. Computer Communications and Networks. Springer, London. https://doi.org/10.1007/978-1-84882-765-3_4
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DOI: https://doi.org/10.1007/978-1-84882-765-3_4
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