ENGLISH

成果展示-2015-通信-汪学思

姓名:

汪学思

导师:

王劲涛

联系方式:

wxsthu@icloud.com

所属专业:

信息与通信工程

研究成果题目:

多天线场景下非正交多址技术研究

研究成果简介:

已发表一作国际期刊论文(SCI收录)

1. X. Wang, J. Wang, L. He, and J. Song, “Spectral Efficiency Analysis for Downlink NOMA Aided Spatial Modulation with Finite Alphabet Inputs,” IEEE Trans. Veh. Technol., vol. 66, no. 11, pp. 10562-10566, Nov. 2017.

2. X. Wang, J. Wang, L. He, Z. Tang, and J. Song, “On the Achievable Spectral Efficiency of Spatial Modulation Aided Downlink Non-Orthogonal Multiple Access,” IEEE Commun. Lett., vol. 21, no. 9, pp. 1937-1940, Sep. 2017.

3. X. Wang, J. Wang, L. He, and J. Song, “Spectral Efficiency Analysis for Spatial Modulation Aided Layered Division Multiplexing Systems With Gaussian and Finite Alphabet Inputs,” IEEE Trans. Broadcast.,vol. 64, no. 4, pp. 909-914, Dec. 2018.

4. X. Wang, J. Wang, L. He, and J. Song, “Outage Analysis for Downlink NOMA with Statistical Channel State Information,” IEEE Wireless Commun. Letters, vol. 7, no. 2, pp. 142-145, Apr. 2018.

5. X. Wang, J. Wang, L. He, C. Pan, and J. Song, “Basis Expansion Model Based Spectral Efficient Channel Recovery Scheme for Spatial-Temporal Correlated Massive MIMO Systems,” IET Commun., vol. 11, no. 17, pp. 2621-2629, Dec. 2017.(SCI检索,影响因子1.443)

已发表一作国际会议论文(EI收录)

1. X. Wang, J. Wang, L. He, and J. Song, “Doubly Selective Underwater Acoustic Channel Estimation with Basis Expansion Model,” in Proc. IEEE ICC 2017, Paris, France.

2. X. Wang, J. Wang, L. He, and J. Song, “Basis Expansion Model Based Spectral Efficient Channel Estimation Scheme for Massive MIMO Systems,” in Proc. IEEE IWCMC 2017, Valencia, Spain.

3. X. Wang, J. Wang, X. Ma, and C. Pan, “Pilot Allocation for MIMO-OFDM Systems: A Structured Compressive Sensing Perspective,” in Proc. IEEE IWCMC 2016, Paphos, Cyprus.

4. X. Wang, J. Wang, and W. Ding, “Optimal Pilot Pattern for Sparse Channel Estimation in TFT-OFDM Systems,” in Proc. IEEE BMSB 2015, Ghent, Belgium.

5. X. Wang, and J. Wang, “Pilot Allocation for MIMO-ZP-OFDM Systems in Underwater Acoustic Channel Based on Structured Compressive Sensing,” in Proc. IEEE/OES COA 2016, Harbin, China.

成果视频链接:

http://

分享到: