TY - JOUR
T1 - Analysis of Packet Throughput in Small Cell Networks under Clustered Dynamic TDD
AU - Li, Jiamin
AU - Huang, Aiping
AU - Shan, Hangguan
AU - Yang, Howard H.
AU - Quek, Tony Q.S.
N1 - Funding Information:
Manuscript received November 15, 2017; revised April 24, 2018; accepted June 10, 2018. Date of publication June 28, 2018; date of current version September 10, 2018. This work was supported in part by the National Natural Science Foundation Program of China under Grants 61771427 and U1709214, in part by the Zhejiang Provincial Public Technology Research of China under Grant 2016C31063, in part by the MOE ARF Tier 2 under Grant MOE2015-T2-2-104, in part by the SUTD-ZJU Research Collaboration under Grant SUTD-ZJU/RES/01/2016, and in part by the SUTD-ZJU IDEA Grant for Visiting Professor under Grant 201804. The associate editor coordinating the review of this paper and approving it for publication was Q. Li. (Corresponding author: Hangguan Shan.) J. Li, A. Huang, and H. Shan are with the College of Information Science and Electronic Engineering, Zhejiang University, Hangzhou 310027, China, also with the Zhejiang Provincial Key Laboratory of Information Processing and Communication Networks, Zhejiang University, Hangzhou 310027, China, and also with SUTD-ZJU IDEA, Hangzhou 310027, China (e-mail: jiaminli@zju.edu.cn; aiping.huang@zju.edu.cn; hshan@zju.edu.cn).
PY - 2018/9
Y1 - 2018/9
N2 - Small cell networks under dynamic time-division duplex (D-TDD) transmission have emerged as a promising solution to accommodate the varied uplink (UL) and downlink (DL) traffic in next generation cellular mobile communication networks. By allowing each cell to individually configure its communication direction, D-TDD allocates resources to accommodate whichever transmission direction needs it most. However, with unaligned transmissions, the interference increases and limits the performance of mean packet throughput (MPT). In this paper, we study the small cell networks under D-TDD with cell clustering being the interference mitigation technique (clustered D-TDD). By leveraging stochastic geometry and queuing theory, we develop an analytical framework that captures both spatial and temporal randomness. We study the MPT whose analytical expression is verified via simulation, and based on the analysis, we explore the impact from different network and service parameters. In particular, numerical results show that there is an optimal cluster size for DL MPT, while UL MPT always benefits from increasing cluster size. By grouping cells into clusters, the clustered D-TDD can provide the flexible service compared with static time-division duplex (S-TDD), and provide significant improvement over a traditional D-TDD in terms of UL MPT at a small cost of DL MPT.
AB - Small cell networks under dynamic time-division duplex (D-TDD) transmission have emerged as a promising solution to accommodate the varied uplink (UL) and downlink (DL) traffic in next generation cellular mobile communication networks. By allowing each cell to individually configure its communication direction, D-TDD allocates resources to accommodate whichever transmission direction needs it most. However, with unaligned transmissions, the interference increases and limits the performance of mean packet throughput (MPT). In this paper, we study the small cell networks under D-TDD with cell clustering being the interference mitigation technique (clustered D-TDD). By leveraging stochastic geometry and queuing theory, we develop an analytical framework that captures both spatial and temporal randomness. We study the MPT whose analytical expression is verified via simulation, and based on the analysis, we explore the impact from different network and service parameters. In particular, numerical results show that there is an optimal cluster size for DL MPT, while UL MPT always benefits from increasing cluster size. By grouping cells into clusters, the clustered D-TDD can provide the flexible service compared with static time-division duplex (S-TDD), and provide significant improvement over a traditional D-TDD in terms of UL MPT at a small cost of DL MPT.
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U2 - 10.1109/TWC.2018.2849395
DO - 10.1109/TWC.2018.2849395
M3 - Article
AN - SCOPUS:85049301014
VL - 17
SP - 5729
EP - 5742
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
SN - 1536-1276
IS - 9
M1 - 8399860
ER -