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http://dx.doi.org/10.6109/jkiice.2017.21.8.1480

Adaptive scheduling scheme considering users' interference environment in TDD uplink cellular networks  

Cho, Moon-Je (Department of Information and Communication Engineering, Gyeongsang National University)
Lee, Woongsup (Department of Information and Communication Engineering, Gyeongsang National University)
Kim, Seong Hwan (Department of Information and Communication Engineering, Gyeongsang National University)
Ryu, Jongyeol (Department of Information and Communication Engineering, Gyeongsang National University)
Ban, Tae-Won (Department of Information and Communication Engineering, Gyeongsang National University)
Abstract
A conventional max SNR scheme, which allocates uplink resources to the user with the highest gain of desired signal channel with a serving base station (BS), exhibits excellent performance in low interference environments. On the other hand, max SGIR scheme, which allocates resources by considering both the desired signal chanel gain and users' interference generating to neighboring BSs, outperforms the max SNR in high interference environments. The conventional two scheduling schemes exhibit optimal performance in different interference environments. Thus, we propose an adaptive scheduling scheme in order to overcome disadvantages of the conventional schemes. In the proposed scheme, a user is selected by max SNR and then the user's generating interference is compared with a pre-determined threshold value. If the generating interference is larger than a pre-determined threshold, then a user is re-selected by max SGIR policy. Monte-Carlo simulation results reveals that the proposed scheme outperforms the conventional schemes in various interference environments.
Keywords
Uplink Cellular Wireless Networks; Interference; SGIR; Scheduling;
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1 C. Yang, J. Li and M. Guizani, "Cooperation for spectral and energy efficiency in ultra-dense small cell networks," IEEE Wireless Communications, vol. 23, no. 1, pp. 64-71, Feb. 2016.   DOI
2 S. Deb and P. Monogioudis, "Learning-Based Uplink Interference Management in 4G LTE Cellular Systems," IEEE/ACM Transactions on Networking, vol. 23, no. 2, pp. 398-411, Apr. 2015.   DOI
3 S. Sun, Q. Gao, Y. Peng, Y. Wang and L. Song, "Interference management through CoMP in 3GPP LTE-advanced networks," IEEE Wireless Communications, vol. 20, no. 1, pp. 59-66, Feb. 2013.   DOI
4 G. Boudreau, J. Panicker, N. Guo, R. Chang, N. Wang and S. Vrzic, "Interference coordination and cancellation for 4G networks," IEEE Communications Magazine, vol. 47, no. 4, pp. 74-81, Apr. 2009.   DOI
5 W. Y. Shin, D. Park, and B. C. Jung, "Can one achieve multiuser diversity in uplink multi-cell networks?," IEEE Transactions on Communications, vol. 60, no. 12, pp. 3535-3540, Dec. 2012.   DOI
6 B. C. Jung and W. Y. Shin, "Opportunistic Interference Alignment for Interference-Limited Cellular TDD Uplink," IEEE Communications Letters, vol. 15, no. 2, pp. 148-150, Feb. 2011.   DOI
7 B. Lee, H. Je. O.S. Shin, and K. B. Lee, "A novel uplink MIMO transmission scheme in a multicell environment," IEEE Transactions on Wireless Communication, vol. 8, no. 10, pp. 4981-4987, Oct. 2009.   DOI