A5003592085- Advanced MIMO Systems Optimization
- Microwave Engineering and Waveguides
- Copper-based nanomaterials and applications
- Millimeter-Wave Propagation and Modeling
- Advanced Wireless Communication Techniques
- Electronic and Structural Properties of Oxides
- Wireless Communication Networks Research
- ZnO doping and properties
- Quantum Dots Synthesis And Properties
- Advanced Photocatalysis Techniques
- Gas Sensing Nanomaterials and Sensors
- Wireless Signal Modulation Classification
- Indoor and Outdoor Localization Technologies
- Radar Systems and Signal Processing
- Cooperative Communication and Network Coding
- Ultra-Wideband Communications Technology
- Optical Network Technologies
- Advanced Wireless Communication Technologies
- Full-Duplex Wireless Communications
- PAPR reduction in OFDM
Northeastern University
2022-2024
Changchun University of Science and Technology
2017-2019
To maximally enhance the hybrid precoding performance, an innovative deep learning-based optimization algorithm is given for a multiuser fully connected (MUFC) structure in this article. First, joint framework based on convolutional neural network (CNN) suggested, namely, JOCNN, which can synchronously optimize precoder and combiner. In analog (AP-NN), digital (DP-NN), combining (AC-NN), (DC-NN) are designed to satisfy nonconvex constant modulus constraint power constraint. Then, using...
This paper presents a dynamic partially connected (DPC) structure-based convolutional neural network (CNN) hybrid precoding with multi-user optimization algorithm. In the proposed algorithm, multi-output CNN framework is constructed to simultaneously optimize phase shifter and switch precoders, including custom 'Out' layer, deep (DNN)-based analog subnetwork, namely DNN-Fps, DNN-based called DNN-Fs. Specifically, DNN-Fps designed obtain vectorized precoder constant modulus constraint. The...
Cuprous oxide (Cu2 O) nanorods array was successfully fabricated on copper substrate by the anodic oxidation method. Field emission scanning electron microscopy images indicated that Cu2 O grew vertically from substrate. The had an approximately average diameter and length of 40 400 nm, respectively. Furthermore, photoelectric output property as a photoanode investigated.
Index modulation recognition (IMR) at secondary user (SU) receiver is a challenging topic for MIMO-OFDM cognitive radio network (MIMO-OFDM-CRN) with index scheme, in order to make SU preferably adapt the communication environment by adjusting own parameters. For modulated signals, this paper proposes an effective IMR algorithm based on projection residual analysis (PRA). The proposed suitable various types of such as spatial (SIM), frequency (FIM) and space-frequency (SFIM). Firstly sparse...
As one of the promising technologies for forthcoming 6G millimeter-wave massive multiple-input multiple-output (MIMO) orthogonal frequency division multiplexing (OFDM) systems, hybrid precoding/combining can achieve trade-off between achievable rate, power consumption, and cost. In this paper, a two-stage joint algorithm based on masterful row column selection (MCUR) decomposition is proposed MIMO-OFDM system with subsystems, named as MCUR-TS. During first stage, analog precoder/combiner are...
In this paper, a joint precoding and combining (JPC) algorithm based on generalized cross-entropy (GCE) optimization is proposed for energy-efficiency (EE) wideband millimeter wave (mmWave) systems, named as JPC-GCE algorithm. Firstly, an analog precoder combiner (PCr) problem converted to high-quality PCr sample selection probability distribution. Then, the quantized phase distribution parameters are updated by GCE Lagrange multiplier methods. Via this, feasible set of optimal vectors can...
As a key emerging green communication technology, signal detection based on deep learning can improve performance for orthogonal frequency division multiplexing with index modulation (OFDM-IM). However, it may lead to an increase in the bit error rate (BER) when and carrier are detected as whole. To tackle this problem, two-stage dilated convolutional neural network OFDM-IM (TS-DCNN-IM) is presented paper. Through design, be processed separately by different subnetworks, thereby achieving...
This letter presents a joint convolutional neural network (JCNN)-based double dimensional (DD) hybrid precoding algorithm for adaptive fully-connected subarray structure with two-layer shared phase shifters (TPSAS) full-dimensional multiple-input multiple-output (FD-MIMO) systems. Firstly, TPSAS is developed to reduce hardware complexity. Then, novel JCNN designed learn predicting the vectorized precoder vertical subnetwork (VpsCNN) and horizontal (HpsCNN). Furthermore, trained by label...
The CuInS 2 quantum dots sensitization of TiO nanonails (NNs) array was successfully carried out by a successive ionic layer absorption and reaction (SILAR) method using CuCl ⋅ 2H O, InCl 3 4H O Na S 9H as precursors. morphology, elemental composition crystalline structure the sensitized NNs heterojunction nanostructures were characterized field emission scanning electron microscopy (FESEM), transmission (TEM), energy dispersive X-ray analysis (EDX), diffraction (XRD) X-ray-photoelectron...