Maximizing the Throughput in the Small Cell Networks with Dynamic TDD Scheme
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- 作者：Shuai Yu (18)
Yinglei Teng (18)
Yuanfeng Li (18)
Wencong Qin (18)
Mei Song (18) - 关键词：small cell ; Dynamic TDD ; CTI ; linear programming
- 刊名：Lecture Notes in Computer Science
- 出版年：2014
- 出版时间：2014
- 年：2014
- 卷：8351
- 期：1
- 页码：726-732
- 全文大小：234 KB
- 参考文献：1. Mallinson, K., Harbor, W.: 2020 Vision for LTE, 3GPP (June 20, 2012)
2. 3rd Generation Partnership Project, Technical Specification Group Radio Access Network; Evolved Universal Terrestrial Radio Access(E-UTRA). Physical Channels and Modulation, 3GPP Std. TS 36.211 V10.5.0 (July 2012)
3. Jeong, W., Kavehrad, M.: Algorithm Spectral Efficiency of Time Division Duplex Fixed Wireless Cellular System for Dynamic Traffic, VTC (2003)
4. Xiao, Y., Thulasiraman, K., Xue, G.: QoSRouting in Communication Networks Approximation Algorithms Based on the Primal Simplex Method of Linear Programming. IEEE Transactions on Computers聽55(7) (July 2006)
5. Jang, J., Lee, K.B.: Transmit power adaptation for multiuser OFDMsystems. IEEE J. Sel. Areas Commun.聽21(2), 171鈥?78 (2003); Young, M.: The Technical Writer鈥檚 Handbook. University Science, Mill Valley (1989) - 作者单位：Shuai Yu (18)
Yinglei Teng (18)
Yuanfeng Li (18)
Wencong Qin (18)
Mei Song (18)
18. Beijing University of Posts and Telecommunications, Beijing, China - ISSN：1611-3349
文摘
In this paper, aimed at implementing a dynamic determination of downlink and uplink frame design (dynamic TDD) in small cell networks to maximize system capacity, we propose an Adaptive Asymmetric Traffic (AAT) algorithm which utilize the coordination of the D/U frame based on a type of two-frame connected design. The whole problem can be formulated as a linear programming problem, a simplex method with iterative search approach to find the optimal double-frame allocation which can significantly mitigate the crossed-timeslot interference (CTI) for the inter-cell. Simulation results show that the proposed AAT scheme not only achieves and efficient throughput distribution among Cell-Edge UEs, but also obtains a better system capacity.