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

SUN Qiang; XU Chen; WU Yongpeng

doi:10.11999/JEIT170161

Volume 39 Issue 11

Nov. 2017

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SUN Qiang, XU Chen, WU Yongpeng. Uplink Performance Analysis and Pilot Scheduling for Dense Small-cell Networks[J]. Journal of Electronics & Information Technology, 2017, 39(11): 2541-2547. doi: 10.11999/JEIT170161

Citation:

SUN Qiang, XU Chen, WU Yongpeng. Uplink Performance Analysis and Pilot Scheduling for Dense Small-cell Networks[J]. Journal of Electronics & Information Technology, 2017, 39(11): 2541-2547. doi: 10.11999/JEIT170161

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

doi: 10.11999/JEIT170161 cstr: 32379.14.JEIT170161

1.
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)

Received Date: 2017-02-24
Rev Recd Date: 2017-08-20
Publish Date: 2017-11-19

Abstract

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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References(16)

References

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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