Abstract
The use of orthogonal frequency division multiple access (OFDMA) in Long Term Evolution (LTE) and WiMax cellular systems mitigates downlink intra-cell interference by the use of sub-carriers that are orthogonal to each other. Intercell interference, however, limits the downlink performance of cellular systems. In order to mitigate inter-cell interference, various techniques have been proposed. These techniques are generally divided into static and dynamic techniques. In static techniques, resources allocated for base stations are fixed, while they are adaptively allocated in the dynamic techniques. Although static and dynamic frequency reuse techniques, address the issue of interference, they do not have any mechanism to sustain a disruption or to maintain a allocation in a distributed manner. Hence, the need for distributed frequency allocation. In this paper we briefly discuss the merits of distributed spectrum allocation algorithms for cellular networks and also present an assessment of static interference schemes, and evaluate overall performance of the system in terms of the SINR, and spectral efficiency by adjusting different input parameters. In addition, we study an adaptive frequency reuse algorithm presented by and compare it with the static techniques.
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References
Srikanth, S., Murugesa Pandian, P.A., Fernando, X.: Orthogonal frequency division multiple access in WiMAX and LTE: a comparison. IEEE Commun. Mag. 50, 153–161 (2012)
Katzela, I., Naghshineh, M.: Channel assignment schemes for cellular mobile telecommunication systems: a comprehensive survey. IEEE Pers. Commun. 3, 10–31 (1996)
3GPP, TR25.814 V1.0.2: Physical layer aspects for Evolved UTRA (2006)
Chang, R.Y., Tao, Z., Zhang, J., Kuo, C.-C.J.: Dynamic fractional frequency reuse (D-FFR) for multicell OFDMA networks using a graph framework. Wireless Commun. Mob. Comput. 13, 12–27 (2013)
Sternad, M., Ottosson, T., Ahlen, A., Svensson, A.: Attaining both coverage and high spectral efficiency with adaptive OFDM downlinks. In: Vehicular Technology Conference (2003)
Ericsson : R1–050764: Inter-cell interference handling for E-UTRA. 3GPP TSG RAN WG1 Meeting #42 (2005)
Hamza, A., Khalifa, S., Hamza, H., Elsayed, K.: A survey on inter-cell interference coordination techniques in OFDMA-based cellular networks. IEEE Commun. Surv. Tutorials 15, 1642–1670 (2013)
He, C., Liu, F., Yang, H., Chen, C., Sun, H., May, W., Zhang, J.: Co-Channel Interference Mitigation in MIMO-OFDM System. In: International Conference on Wireless Communications, Networking and Mobile Computing, WiCom 2007 (2007)
Huawei : R1–050507: Soft frequency reuse scheme for UTRAN LTE. 3GPP TSG RAN WG1 Meeting #42 (2005)
Qian, M., Hardjawana, W., Li, Y., Vucetic, B., Shi, J., Yang, X.: Inter-cell interference coordination through adaptive soft frequency reuse in LTE networks. In: 2012 IEEE Wireless Communications and Networking Conference (WCNC), (2012)
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Hambebo, B.M., Carvalho, M., Ham, F. (2014). Strategies for Spectrum Allocation in OFDMA Cellular Networks. In: Pardalos, P., Resende, M., Vogiatzis, C., Walteros, J. (eds) Learning and Intelligent Optimization. LION 2014. Lecture Notes in Computer Science(), vol 8426. Springer, Cham. https://doi.org/10.1007/978-3-319-09584-4_32
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DOI: https://doi.org/10.1007/978-3-319-09584-4_32
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