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Hybrid precoding architectures can address the trade-off between achievable spectral efficiency and power consumption in large-scale MIMO systems. Most of the prior work on hybrid precoding focused on narrowband channels and assumed fully-connected hybrid architectures. In this paper, a closed-form solution for OFDM-based wideband hybrid precoding is developed for both fully-connected and subarray architectures in frequency selective channels. The closed form solution provides useful insights into how hybrid subarray structures should be designed.

This paper considers the channel state information (CSI) acquisition and exploitation problem in cloud radio access networks (Cloud-RAN). A novel CSI acquisition method, called compressive CSI acquisition, is adopted to effectively reduce the CSI signaling overhead by obtaining instantaneous coefficients of only a subset of all the channel links.To deal with the uncertainty in available CSI, we propose a stochastic power control (SPC) framework, which is a highly intractable joint chance constrained program (JCCP).

We characterize third-dimension (3D) of channel measurements based on two dimension channel model with fully synchronize

This paper considers an energy-efficient transmit design in a general multiple-input single-output multiple-eavesdropper (MISOME) wiretap channel. Specifically, a transmitter sends one confidential message to a legitimate receiver, which must be kept perfectly secure from several external multi-antenna eavesdroppers. Assuming imperfect channel state information (CSI) at the transmitter, our goal is to design the input transmit covariance, such that the worst-case secrecy energy efficiency (WC-SEE) is maximized, subject to the quality of service (QoS) and total transmit power constraints.

A low-density spatial downlink reference signal (LDS-RS) design is proposed for frequency-division duplex (FDD) massive full-dimensional multiple-input multiple-output (FD-MIMO) systems. By exploiting the spatial correlation between the channels of different antennas, this scheme can efficiently reduce the downlink RS overhead and therefore enhances the achievable spectral efficiency significantly.

This Matlab program covers two optimization algorithms, namely semidefinite programming and block coordinate descent method, for wireless powered two way relay channel.
The first algorithm is proposed in:
[1] S. Wang, Y.-C. Wu, and M. Xia, ``Achieving global optimality in wirelessly-powered multi-antenna TWRC with lattice codes,'' in Proc. IEEE ICASSP'16, Shang Hai, China, Mar. 2016, pp. 3556-3560.
The second algorithm is proposed in

We tackle the problem of estimating sparse channels in massive MIMO-OFDM systems.
The code of our algorithms could be downloaded from Prof. Tareq Al-Naffouri's website http://faculty.kfupm.edu.sa/ee/naffouri/publications/demo_massiveMIMO.zip (503)
or from MATLAB File Exchange http://goo.gl/P19F1Y

A joint maximum likelihood (ML) modulation classification (MC) of the co-scheduled user and data detection receiver is developed

We propose two computationally efficient subspace detection algorithms, based on a preprocessing stage that consists of special layer ordering, followed by permutation-robust QR decomposition (QRD) and elementary matrix operations.