An Asynchronous FPGA Based on LEDR/4-Phase-Dual-Rail Hybrid Architecture

AbstractIn the context of this research work, we study the so-called problem of full snapshot reconstruction in hybrid antenna array structures that are utilized in mmWave communication systems. It enables the recovery of the snapshots that would have been obtained if a conventional (non-hybrid) uniform linear antenna array was employed. The problem is considered at the receiver side where the hybrid architecture exploits in a novel way the antenna elements of a uniform linear array. To this end, the recommended scheme is properly designed so as to be applicable to overlapping and non-overlapping architectures. Moreover, the full snapshot recoverability is addressed for two cases, namely for time-varying and constant signal sources. Simulation results are also presented to illustrate the consistency between the theoretically predicted behaviors and the simulated results, and the performance of the proposed scheme in terms angle-of-arrival estimation, when compared to the conventional MUSIC algorithm and a recently proposed hybrid version of MUSIC (H-MUSIC).

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Low-complexity beam-domain channel estimation and power allocation in hybrid architecture massive MIMO systems

EURASIP Journal on Wireless Communications and Networking ◽

10.1186/s13638-019-1546-6 ◽

2019 ◽

Vol 2019 (1) ◽

Author(s):

Xiao Chen ◽

Zaichen Zhang ◽

Liang Wu ◽

Jian Dang

Keyword(s):

Channel Estimation ◽

Power Allocation ◽

Spectral Efficiency ◽

Communication Systems ◽

Mimo Systems ◽

Beam Steering ◽

Estimation Method ◽

Low Complexity ◽

Estimation Accuracy ◽

Hybrid Architecture

Abstract In this journal, we investigate the beam-domain channel estimation and power allocation in hybrid architecture massive multiple-input and multiple-output (MIMO) communication systems. First, we propose a low-complexity channel estimation method, which utilizes the beam steering vectors achieved from the direction-of-arrival (DOA) estimation and beam gains estimated by low-overhead pilots. Based on the estimated beam information, a purely analog precoding strategy is also designed. Then, the optimal power allocation among multiple beams is derived to maximize spectral efficiency. Finally, simulation results show that the proposed schemes can achieve high channel estimation accuracy and spectral efficiency.

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New Hybrid Architecture for Energy Efficient and Low Complex Massive MIMO System

Arabian Journal for Science and Engineering ◽

10.1007/s13369-021-06069-6 ◽

2021 ◽

Author(s):

Javaid A. Sheikh ◽

Farhana Mustafa ◽

Sumina Sidiq

Keyword(s):

Energy Efficient ◽

Massive Mimo ◽

Mimo System ◽

Hybrid Architecture ◽

Low Complex

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A phononic interface between a superconducting quantum processor and quantum networked spin memories

npj Quantum Information ◽

10.1038/s41534-021-00457-4 ◽

2021 ◽

Vol 7 (1) ◽

Author(s):

Tomáš Neuman ◽

Matt Eichenfield ◽

Matthew E. Trusheim ◽

Lisa Hackett ◽

Prineha Narang ◽

...

Keyword(s):

Quantum State ◽

Piezoelectric Transducers ◽

High Fidelity ◽

Hybrid Architecture ◽

Quantum Networks ◽

Superconducting Circuit ◽

Artificial Atom ◽

Experimental Parameters ◽

Quantum Processor ◽

State Spin

AbstractWe introduce a method for high-fidelity quantum state transduction between a superconducting microwave qubit and the ground state spin system of a solid-state artificial atom, mediated via an acoustic bus connected by piezoelectric transducers. Applied to present-day experimental parameters for superconducting circuit qubits and diamond silicon-vacancy centers in an optimized phononic cavity, we estimate quantum state transduction with fidelity exceeding 99% at a MHz-scale bandwidth. By combining the complementary strengths of superconducting circuit quantum computing and artificial atoms, the hybrid architecture provides high-fidelity qubit gates with long-lived quantum memory, high-fidelity measurement, large qubit number, reconfigurable qubit connectivity, and high-fidelity state and gate teleportation through optical quantum networks.

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