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An Efficient Feedback Compression for Large-Scale MIMO Systems
2014 IEEE 79th Vehicular Technology Conference (VTC Spring), 2014Large-scale multiple-input multiple-output(MIMO) systems with a large number of antennas at the basestation have drawn considerable interest because of potential ability to achieve high spectral efficiencies. In order to achieve optimal performance of large-scale MIMO systems, the basestation needs to know channel state information (CSI) perfectly.
Byungju Lee, Byonghyo Shim
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Energy Management in Hybrid Energy Large-Scale MIMO Systems
IEEE Transactions on Vehicular Technology, 2017This paper investigates the energy consumption of distributed large-scale MIMO systems made up of a set of remote radio heads (RRHs), each of which is powered by both an independent energy harvesting source and the grid. The grid energy source allows to compensate for the randomness and intermittency of the harvested energy.
Rami Hamdi, Elmahdi Driouch, Wessam Ajib
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Low Complexity Detection Algorithms in Large-Scale MIMO Systems
IEEE Transactions on Wireless Communications, 2016In this contribution, we present low-complexity detection algorithms in large-scale MIMO systems where they achieve significantly better bit error rate (BER) performance than known heuristic algorithms in large-scale MIMO literature, such as local ascent search (LAS) and reactive tabu search (RTS) algorithms, especially at higher-order modulations. The
Ali Elghariani, Michael Zoltowski
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Low-complexity multiuser detection for uplink large-scale MIMO
2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014In this paper, an iterative multiuser detector is proposed for uplink large-scale Multiple Input Multiple Output (MIMO). It is developed based on the Generalized Approximate Message Passing (GAMP) algorithm, and its convergence properties are analyzed by a one-dimensional iteration termed as State Evolution (SE).
Shengchu Wang, Yunzhou Li, Jing Wang
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Convex optimization based downlink precoding for large-scale MIMO
2014 IEEE Wireless Communications and Networking Conference (WCNC), 2014In large-scale Multiple-Input-Multiple-Output (MIMO) downlink, one state-of-the-art precoder significantly reduces the Peak-to-Average Power Ratio (PAPR) of the emitted signals from the Base Station (BS) antennas through minimizing the l ∞ -norm of the precoded signals (generated by the precoder and transmitted by the BS RF frontends).
Shengchu Wang, Yunzhou Li, Jing Wang
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Channel capacity of next generation large scale MIMO systems
SPIE Proceedings, 2016Information rate that can be transferred over a given bandwidth is limited by the information theory. Capacity depends on many factors such as the signal to noise ratio (SNR), channel state information (CSI) and the spatial correlation in the propagation environment.
A. Alshammari, S. Albdran, M. Matin
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Quantum-inspired evolutionary algorithm for large-scale MIMO detection
2017 IEEE 28th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications (PIMRC), 2017In this paper we propose a novel evolutionary detection algorithm for large-scale multiple-input multiple-output (MIMO) systems, utilizing the concepts of quantum bit and quantum rotation gate in quantum computing. Specifically, we consider the detection of BPSK and 4-QAM signals, and the uncertainty on the information bits at the receiver is modeled ...
M. A. Teeti +4 more
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Semidefinite Relaxation for Large Scale MIMO Detection
Anais de XXXIV Simpósio Brasileiro de Telecomunicações, 2016João Negrão, Alex Mussi, Taufik Abrão
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MIMO Satellite Communication Systems: A Survey From the PHY Layer Perspective
IEEE Communications Surveys and Tutorials, 2023Jehyun Heo, Seungwoo Sung, Hyunwoo Lee
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