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- Read more about DYNAMIC SUBARRAY ARCHITECTURE FOR WIDEBAND HYBRID PRECODING IN MILLIMETER WAVE MASSIVE MIMO SYSTEMS
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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.
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- Read more about Optimal Stochastic Power Control with Compressive CSI Acquisition for Cloud-RAN
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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).
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- Read more about Third dimension for measurement of multi user massive MIMO channels based on LTE advanced downlink
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We characterize third-dimension (3D) of channel measurements based on two dimension channel model with fully synchronize
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- Read more about Robust Energy-Efficient Transmit Design for MISOME Wiretap Channels
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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.
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- Read more about Low-Density Spatial RS Design and Channel Estimation for FDD Massive Full-Dimensional MIMO Systems
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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.
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- Read more about Achieving Centimeter-level Accuracy for Indoor Localization: A Time-Reversal Approach on WiFi Platforms
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- Read more about Matlab Program for Wireless Powered Two Way Relay Channel (ICASSP 2016)
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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
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- Read more about Efficient Coordinated Recovery of Sparse Channels in Massive MIMO
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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 (482)
or from MATLAB File Exchange http://goo.gl/P19F1Y
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- Read more about Efficient Near Optimal Joint Modulation Classification and Detection for MU-MIMO Systems
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A joint maximum likelihood (ML) modulation classification (MC) of the co-scheduled user and data detection receiver is developed
MU-MIMO.pdf
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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.
Subspace.pdf
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