Study On Optical Communications, Volume. 47, Issue 6, 68(2021)
Channel Estimation in mmWave System with One-bit Compressed Sensing
[1] [1] Rappaport T S, Sun S, Mayzus R, et al. Millimeter Wave Mobile Communications for 5G Cellular: It Will Work![J]. IEEE Access, 2013, 1:335-349.
[2] [2] Rangan S, Rappaport T S, Erkip E. Millimeter-Wave Cellular Wireless Networks:Potentials and Challenges[J].Proceedings of the IEEE,2014,102(3):366-385.
[3] [3] Roh W,Seol J Y,Park J,et al.Millimeter-wave Beamforming as an Enabling Technology for 5G Cellular Communications: Theoretical Feasibility and Prototype Results[J]. IEEE Communications Magazine, 2014, 52(2):106-113.
[4] [4] Heath R W, González-Prelcic N, Rangan S, et al. An Overview of Signal Processing Techniques for Millimeter Wave MIMO Systems[J]. IEEE Journal of Selected Topics in Signal Processing, 2016, 10(3):436-453.
[5] [5] Mo J, Schniter P, González-Prelcic N, et al. Channel Estimation in Millimeter Wave MIMO Systems with One-bit Quantization[C]//2014 48th Asilomar Conference on Signals, Systems and Computers. Pacific Grove, CA, USA: IEEE, 2014: 957-961.
[6] [6] Mo J, Alkhateeb A, Abu-Surra S, et al. Hybrid Architectures with Few-Bit ADC Receivers: Achievable Rates and Energy-Rate Tradeoffs[J]. IEEE Transactions on Wireless Communications, 2017, 16(4):2274-2287.
[7] [7] Abbas W B,Gomez-Cuba F,Zorzi M.Millimeter Wave Receiver Efficiency:A Comprehensive Comparison of Beamforming Schemes with Low Resolution ADCs[J]. IEEE Transactions on Wireless Communications, 2017, 16(12):8131-8146.
[8] [8] Alkhateeb A, Ayach O E, Leus G, et al. Channel Estimation and Hybrid Precoding for Millimeter Wave Cellular Systems[J]. IEEE Journal of Selected Topics in Signal Processing, 2014, 8(5):831-846.
[9] [9] Mo J, Schniter P, Heath R W. Channel Estimation in Broadband Millimeter Wave MIMO Systems with Few-bit ADCs[J]. IEEE Transactions on Signal Processing, 2018, 66(5):1141-1154.
[10] [10] Lok T M, Wei V K W. Channel Estimation with Quantized Observations[C]//1998 IEEE International Symposium on Information Theory. Cambridge, MA, USA:IEEE, 1998:333-338.
[11] [11] Ivrlac M T,Nossek J.On MIMO Channel Estimation with Single-bit Signal-quantization[C]//ITG Smart Antenna Workshop. Vienna, Austria: IEEE, 2007:563-568.
[12] [12] Molazadeh A, Ghasimi M, Alizade P, et al. Low Complexity Channel Estimation for mmWave Hybrid MIMO Systems[C]//2020 28th Iranian Conference on Electrical Engineering(ICEE). Tabriz, Iran: IEEE, 2020:9260828.
[13] [13] Shirazinia A,Chatterjee S,Skoglund M.Analysis-by-Synthesis Quantization for Compressed Sensing Measurements[J]. IEEE Transactions on Signal Processing, 2013, 61(22):5789-5800.
[14] [14] Stckle C,Munir J,Mezghani A,et al.Channel Estimation in Massive MIMO Systems using 1-bit Quantization[C]//2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications(SPAWC). Edinburgh, UK: IEEE, 2016:7536730.
Get Citation
Copy Citation Text
Li Xin-an, Yu Kai-wen. Channel Estimation in mmWave System with One-bit Compressed Sensing[J]. Study On Optical Communications, 2021, 47(6): 68
Category:
Received: Jan. 13, 2021
Accepted: --
Published Online: Jan. 17, 2022
The Author Email: Li Xin-an (1329077548@qq.com)