4G Femtocells: Resource Allocation and Interference by Haijun Zhang, Xiaoli Chu, Xiangming Wen

By Haijun Zhang, Xiaoli Chu, Xiangming Wen

This short examines source allocation and interference administration for 4G femtocells. It introduces 4G femtocells within the context of 4G cellular networks and discusses comparable technical demanding situations in source allocation and interference administration. issues comprise ant colony set of rules established downlink source allocation, clever scheduling and tool keep watch over, uplink and downlink for two-tier networks, caliber of carrier (QoS) constraints and the cross-tier interference constraint. The authors current algorithms to relieve universal femtocell-related difficulties comparable to subchannel strength allocation. The complexity of the proposed source allocation algorithms is analyzed, and the effectiveness of the proposed algorithms is validated by way of simulations. This concise and sensible booklet at once addresses universal difficulties in terms of femtocells and source administration. It serves as a great tool for researchers within the box. Advanced-level scholars or pros attracted to femtocells and networks also will locate the content material helpful.

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Veh. Technol. , May 2010, pp. 1–5. 8. D. Lopez-Perez, A. Ladanyi, A. Juttner, H. Rivano, and J. Zhang, “Optimization method for the joint allocation of modulation schemes, coding rates, resource blocks and power in selforganizing lte networks,” in INFOCOM, 2011 Proceedings IEEE, april 2011, pp. 111–115. 9. M. -C. Liang, and F. Zhang, “Resource allocation for delay differentiated traffic in multiuser ofdm systems,” IEEE Trans. , vol. 7, no. 6, pp. 2190–2201, June 2008. 10. D. T. Ngo and T. Le-Ngoc, “Distributed resource allocation for cognitive radio networks with spectrum-sharing constraints,” IEEE Trans.

The “Existing Algorithm” included in simulations for comparison is the subchannel allocation scheme in [20] in conjunction with the optimal power allocation scheme proposed in this chapter. 2 dBm). From the results, it can be seen that the proposed algorithm takes only a few iterations to converge to stable solutions. After 6 iterations it is almost stable, and after 40 iterations it is stable. This result together with former analysis proves that the proposed algorithm converges, is practical and can be applied to two-tier networks.

H. Cho, “A joint power and subchannel allocation scheme maximizing system capacity in indoor dense mobile communication systems,” IEEE Transactions on Vehicular Technology, vol. 59, no. 9, pp. 4340–4353, 2010. 14. K. Lee, H. -H. Cho, “Collaborative resource allocation for self-healing in selforganizing networks,” in IEEE ICC’11, pp. 1–5. 15. J. Zhang, Z. Zhang, K. Wu, and A. Huang, “Optimal distributed subchannel, rate and power allocation algorithm in ofdm-based two-tier femtocell networks,” in IEEE VTC’10, pp.

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