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Spatially Common Sparsity Based Adaptive Channel Estimation and Feedback for FDD Massive MIMO
- Zhen Gao, L. Dai, Z. Wang, S. Chen
- Computer Science, Mathematics
- IEEE Transactions on Signal Processing
- 31 July 2015
This paper proposes a spatially common sparsity based adaptive channel estimation and feedback scheme for frequency division duplex based massive multi-input multi-output (MIMO) systems, which adapts… Expand
Near-Optimal Beam Selection for Beamspace MmWave Massive MIMO Systems
- Xinyu Gao, L. Dai, Z. Chen, Z. Wang, Z. Zhang
- Computer Science
- IEEE Communications Letters
- 22 March 2016
The recent concept of beamspace MIMO can utilize beam selection to reduce the number of required radio-frequency (RF) chains in mmWave massive MIMO systems without obvious performance loss. However,… Expand
Spectrum and Energy-Efficient Beamspace MIMO-NOMA for Millimeter-Wave Communications Using Lens Antenna Array
- Bichai Wang, L. Dai, Z. Wang, Ning Ge, S. Zhou
- Computer Science, Mathematics
- IEEE Journal on Selected Areas in Communications
- 11 July 2017
The recent concept of beamspace multiple input multiple output (MIMO) can significantly reduce the number of required radio frequency (RF) chains in millimeter-wave (mmWave) massive MIMO systems… Expand
Smart Pilot Assignment for Massive MIMO
- Xudong Zhu, Z. Wang, L. Dai, Chen Qian
- Computer Science, Mathematics
- IEEE Communications Letters
- 5 March 2015
A massive multiple-input multiple-output (MIMO) system, which utilizes a large number of antennas at the base station (BS) to serve multiple users, suffers from pilot contamination due to inter-cell… Expand
Performance Analysis of Mixed-ADC Massive MIMO Systems Over Rician Fading Channels
- Jiayi Zhang, L. Dai, Ziyan He, S. Jin, X. Li
- Mathematics, Computer Science
- IEEE Journal on Selected Areas in Communications
- 10 March 2017
The practical deployment of massive multiple-input multiple-output (MIMO) in the future fifth generation (5G) wireless communication systems is challenging due to its high-hardware cost and power… Expand
Low-Complexity Soft-Output Signal Detection Based on Gauss–Seidel Method for Uplink Multiuser Large-Scale MIMO Systems
- L. Dai, Xinyu Gao, Xin Su, Shuangfeng Han, I. Chih-Lin, Z. Wang
- Computer Science, Mathematics
- IEEE Transactions on Vehicular Technology
- 11 November 2014
For uplink large-scale multiple-input-multiple-output (MIMO) systems, the minimum mean square error (MMSE) algorithm is near optimal but involves matrix inversion with high complexity. In this paper,… Expand
Millimeter Wave Communications for Future Mobile Networks
- Ming Xiao, S. Mumtaz, +8 authors Amitabha Ghosh
- Mathematics, Computer Science
- IEEE Journal on Selected Areas in Communications
- 17 May 2017
Millimeter wave (mmWave) communications have recently attracted large research interest, since the huge available bandwidth can potentially lead to the rates of multiple gigabit per second per user.… Expand
Low-complexity near-optimal signal detection for uplink large-scale MIMO systems
The minimum mean square error (MMSE) signal detection algorithm is near-optimal for uplink multi-user large-scale multiple-input-multiple-output (MIMO) systems, but involves matrix inversion with… Expand
Structured Compressive Sensing-Based Spatio-Temporal Joint Channel Estimation for FDD Massive MIMO
- Zhen Gao, L. Dai, W. Dai, Byonghyo Shim, Z. Wang
- Computer Science, Mathematics
- IEEE Transactions on Communications
- 9 December 2015
Massive MIMO is a promising technique for future 5G communications due to its high spectrum and energy efficiency. To realize its potential performance gain, accurate channel estimation is essential.… Expand
Spectrum- and Energy-Efficient OFDM Based on Simultaneous Multi-Channel Reconstruction
- L. Dai, J. Wang, Z. Wang, Paschalis Tsiaflakis, M. Moonen
- Computer Science, Mathematics
- IEEE Transactions on Signal Processing
- 1 December 2013
Time domain synchronous OFDM (TDS-OFDM) has a higher spectrum and energy efficiency than standard cyclic prefix OFDM (CP-OFDM) by replacing the unknown CP with a known pseudorandom noise (PN)… Expand