Enhanced Mobile Multiple-Input Multiple-Output Underwater Acoustic Communications
This paper focuses on mobile multiple-input multiple-output (MIMO) underwater acoustic communications (UAC) over double-selective channels subject to both intersymbol interference and Doppler scaling effects.
Kexin Zhao, Jun Ling, Jian Li
doaj +1 more source
The Effect of Spatial Multiplexing of the Interference on MIMO Communication Performance
This work sheds light on the effects of spatially multiplexed interference on multiple-input-multiple-output (MIMO) networks. In particular, any increase in the number of interfering data streams (while keeping the total interference power constant) is ...
Yiftach Richter, Itsik Bergel
doaj +1 more source
Spatial Permutation Modulation for Multiple-Input Multiple-Output (MIMO) Systems
Spatial modulation (SM) for the multiple-input-multiple-output (MIMO) system has attracted research interests due to its high energy and spectral efficiency.
I-Wei Lai +6 more
doaj +1 more source
Achievability of Nonlinear Degrees of Freedom in Correlatively Changing Fading Channels [PDF]
A new approach toward the noncoherent communications over the time varying fading channels is presented. In this approach, the relationship between the input signal space and the output signal space of a correlatively changing fading channel is shown to ...
Karzand, Mina, Zheng, Lizhong
core +2 more sources
An Achievable Rate for the MIMO Individual Channel [PDF]
We consider the problem of communicating over a multiple-input multiple-output (MIMO) real valued channel for which no mathematical model is specified, and achievable rates are given as a function of the channel input and output sequences known a ...
Feder, Meir, Lomnitz, Yuval
core +1 more source
CNN-based multiple-input multiple-output radar image enhancement method
In this study, the convolutional neural network (CNN) is utilised to enhance the quality of radar images. First, a four-layer convolutional neural network is trained. The input of it is a complex valued two-dimensional low-resolution radar image, and the
Yongpeng Dai +4 more
doaj +1 more source
Visual parameter optimisation for biomedical image processing [PDF]
Background: Biomedical image processing methods require users to optimise input parameters to ensure high quality output. This presents two challenges. First, it is difficult to optimise multiple input parameters for multiple input images.
AC Ruifrok +37 more
core +2 more sources
Correlation characteristic analysis in diversity multiple‐input multiple‐output radar
A huge limitation of the correlation analysis in existing scatterer model is that only uniformly distributed scatterers are considered ignoring the variability of scattering intensity in the real situation.
Jieyi Liu +4 more
doaj +1 more source
Resource Allocation Method Based on Cognitive Multiple-Input Multiple-Output Networks [PDF]
Aiming at the problem of high energy consumption in wireless communication,based on multiuser cognitive Multiple-Input Multiple-Output(MIMO) networks system and using Time Division Multiplexing-Code Division Multiple Access(TDM-CDMA) technology,the "
NI Guoying,QIN Xizhong,JIA Zhenhong,NIU Hongmei,WANG Zhehui
doaj +1 more source
Novel Method for Improving the Capacity of Optical MIMO System Using MGDM [PDF]
In current local area networks, multimode fibers (MMFs), primarily graded index (GI) MMFs, are the main types of fibers employed for data communications.
Aggoun, A. +4 more
core +6 more sources

