密集小蜂窝网络上行性能分析与导频调度

孙强; 徐晨; 吴泳澎

doi:10.11999/JEIT170161

密集小蜂窝网络上行性能分析与导频调度

doi: 10.11999/JEIT170161

2.
(南通大学电子信息学院南通 226019) ②(东南大学移动通信国家重点实验室南京 210096) ③(慕尼黑工业大学通信工程学院慕尼黑 D-80333)

基金项目:

国家自然科学基金(61501264)，东南大学国家移动通信重点实验室开放课题(2015D02)

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- 被引次数: 0
出版历程
- 收稿日期: 2017-02-24
- 修回日期: 2017-08-20
- 刊出日期: 2017-11-19

Uplink Performance Analysis and Pilot Scheduling for Dense Small-cell Networks

2.
(School of Electronic and Information Engineering, Nantong University, Nantong 226019, China)

Funds:

The National Natural Science Foundation of China (61501264), The Open Research Fund of National Mobile Communications Research Laboratory, Southeast University (2015D02)

摘要

摘要: 考虑导频资源受限的密集小蜂窝网络，该文采用基于导频复用的最小均方误差估计进行信道估计，推导出各种导频复用因子下采用最大比合并接收的上行可达速率表达式。由于严重的导频污染，会制约密集小蜂窝网络的上行净可达和速率。为了最大化上行可达和速率，提出利用大尺度衰落信道信息的贪婪导频调度算法减少导频污染，在此基础上，提出低复杂度半动态导频调度算法确定最佳导频复用因子。仿真结果验证了理论推导，所提出的半动态导频调度算法能够减少导频开销，有效地减轻导频污染并提升上行净可达和速率。
- 密集小蜂窝网络 /
- 导频调度 /
- 最大比合并
Abstract: Considering Dense Small-Cell Networks (DSCNs) with limited pilot resource, estimating channel is carried out using pilot-reused Minimum Mean Square Error (MMSE) estimator, and then exact expressions of the uplink achievable rate are derived with maximal ratio combing receiver for arbitrary pilot reuse factors. Severer pilot contamination will result in degrading the uplink net achievable sum rate. To maximize uplink achievable sum rate, a greedy pilot scheduling algorithm is proposed using large-scale fading channel information to reduce pilot contamination. On this basis, a low-complexity semi-dynamic pilot scheduling algorithm is proposed to determine best pilot reuse factor. Simulation results are presented to verify the theoretical derivation, and the proposed semi-dynamic pilot scheduling algorithm can reduce pilot overhead, mitigate pilot contamination and boost uplink net achievable sum rate.
- Dense Small-Cell Networks (DSCNs) /
- Pilot scheduling /
- Maximal Ratio Combing (MRC)

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参考文献(16)

KAMELl M, HAMOUDA W, and YOUSSEF A. Ultra-dense networks: A survey[J]. IEEE Communications Surveys Tutorials, 2016, 18(4): 2522-2545. doi: 10.1109/COMST.2016. 2571730.

LPEZ-PREZ D, DING M, CLAUSSEN H, et al. Towards 1 Gbps/UE in cellular systems: Understanding ultra-dense small cell deployments[J]. IEEE Communications Surveys Tutorials, 2015, 17(4): 2078-2101. doi: 10.1109/COMST.2015. 2439636.

SHEN J C, ZHANG J, and LETAIEF K B. Downlink user capacity of massive MIMO under pilot contamination[J]. IEEE Transactions on Wireless Communications, 2015, 14(6): 3183-3193. doi: 10.1109/TWC.2015.2403317.

CHOI J, LOVE D J, and BIDIGARE P. Downlink training techniques for FDD massive MIMO systems: Open-loop and closed-loop training with memory[J]. IEEE Journal of Selected Topics in Signal Processing, 2014, 8(5): 802-814. doi: 10.1109/JSTSP.2014.2313020.

MARZETTA T L. Noncooperative cellular wireless with unlimited numbers of base station antennas[J]. IEEE Transactions on Wireless Communications, 2010, 9(11): 3590-3600. doi: 10.1109/TWC.2010.092810.091092.

胡莹, 黄永明, 俞菲, 等. 多用户大规模MIMO 系统能效资源分配算法[J]. 电子与信息学报, 2015, 37(9): 2198-2203. doi: 10.11999/JEIT150088.

HU Ying, HUANG Yongming, YU Fei, et al. Energy-efficient resource allocation based on multi-user massive MIMO system[J]. Journal of Electronics Information Technology, 2015, 37(9): 2198-2203. doi: 10.11999/JEIT150088.

FEMANDES F, ASHIKHMIN A, and MARZETTA T L. Inter-cell interference in noncooperative TDD large scale antenna systems[J]. IEEE Journal on Selected Areas in Communications, 2013, 31(2): 192-201. doi: 10.1109/JSAC. 2013.130208.

ASHIKHMIN A and MARZETTA T. Pilot contamination precoding in multi-cell large scale antenna systems[C]. IEEE International Symposium on Information Theory Proceedings (ISIT), Cambridge, MA, 2012: 1137-1141. doi: 10.1109/ISIT.2012.6283031.

YANG H and MARZETTA T L. Performance of pilot reuse in multi-cell massive MIMO[C]. IEEE International Black Sea Conference on Communications and Networking (Black SeaCom), Constanta, 2015: 157-161. doi: 10.1109/BlackSea Com.2015.7185106.

NGO H Q, ASHIKHMIN A, YANG H, et al. Cell-free massive MIMO versus small cells[J]. IEEE Transactions on Wireless Communications, 2017, 16(3): 1834-1850. doi: 10.1109/TWC. 2017.2655515.

NGUYEN V D and SHIN O S. Performance analysis of ZF receivers with imperfect CSI for uplink massive MIMO systems[J]. Telecommunication Systems, 2016, 65(2): 1-12. doi: 10.1007/s11235-016-0225-8.

PAPAZAFEIROPOULOS A, NGO H, and RATNARAJAH T. Performance of massive MIMO uplink with zero-forcing receivers under delayed channels[J]. IEEE Transactions on Vehicular Technology, 2017, 66(4): 3158-3169. doi: 10.1109/ TVT.2016.2594031.

KAILATH T, SAVED A H, and HASSIBI B. Linear Estimation[M]. Upper Saddle River, NJ: Prentice Hall, 2000: 23-112.

SHIN H and WIN M Z. MIMO diversity in the presence of double scattering[J]. IEEE Transactions on Information Theory, 2008, 54(7): 2976-2996. doi: 10.1109/TIT.2008. 924672.

SUN Q, JIN S, WANG J, et al. Downlink massive distributed antenna systems scheduling[J]. IET Communications, 2015, 9(7): 1006-1016. doi: 10.1049/IET-COM.2014.0775.

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