Results 121 to 130 of about 7,919 (188)

Micromachined mmWave 28.0/38.0 GHz MIMO antenna loaded with frequency selective surface for gain enhancement and SAR analysis for future wireless applications. [PDF]

PLoS One
Sharma M, Perli BR, Singla G, Addepalli T, Medasani S, Sridevi BS, Ali T.   +6 more
europepmc   +1 more source

Integrated approach for edge coverage enhancement based on IRS phase shift control and AP selection in dense user communication system. [PDF]

Sci Rep
Shrivastava S, Taneja A, Alqahtani N, Alqahtani A.   +3 more
europepmc   +1 more source

Weight optimization of MIMO-UWB distributed beamforming for implant communications. [PDF]

Sci Rep
Kobayashi T, Hyry J, Fujimoto M, Anzai D.   +3 more
europepmc   +1 more source

Design and characterization of quad port dual band MIMO antenna for 5G V2X connectivity. [PDF]

Sci Rep
Arumugam S, Manoharan S, Abbas MA, Suraaj IM, Kumar S, Ali T.   +5 more
europepmc   +1 more source

A highly decoupled and compact co-circularly polarized MIMO filtering antenna array system for vehicular communications. [PDF]

Sci Rep
Kumar A, Rana S, Srivastava G, Mohan A, Kumar S, Kumar OP.   +5 more
europepmc   +1 more source

Some of the next articles are maybe not open access.

Related searches:

Multiple Input Multiple Output (MIMO) Antennas

2023
The advancement of antennas that can access high data speeds, and have higher gain, is largely responsible for the advancements in wireless technology. One such antenna called the multiple input multiple output (MIMO). This antenna has attracted the utmost attention of the researchers owing to its features like higher capacity, increased data rate, low
Anindita Bhattacharjee, Anirban Karmakar, Anuradha Saha   +2 more
openaire   +1 more source

Statistical characterization of multiple-input multiple-output (MIMO) channel capacity

2002 IEEE Wireless Communications and Networking Conference Record. WCNC 2002 (Cat. No.02TH8609), 2003
We derive precise as well as good approximate statistical characterizations, such as probability density functions and statistical moments of capacity, for different MIMO wireless channels. The characterizations help us to understand and predict the capacity gain expected from the MIMO technique, in terms of system parameters and channel dimension.
Hongya Ge, K. Daniel Wong, Melbourne Barton, Joseph C. Liberti   +3 more
openaire   +1 more source

An energy-efficient multiple-input multiple-output (MIMO) detector architecture

2011 IEEE Workshop on Signal Processing Systems (SiPS), 2011
In this paper, a novel low complexity energy efficient recon-figurable reduced dimension maximum likelihood (RRDML) multiple-input multiple-output (MIMO) detector is proposed. RRDML is based on RDML [1], in which maximum likelihood (ML) is applied to detect a sub-dimension of the received vector and linear detection is used for the remaining dimension.
Eric P. Kim, Naresh R. Shanbhag
openaire   +1 more source

Guest Editorial for the Special Issue on Multiple-Input Multiple-Output (MIMO)

IEEE Transactions on Antennas and Propagation, 2012
The 27 papers in this special issue focus on multiple-input multiple-output. There are three main sections to this issue: 1) antenna design, modeling, and analysis, 2) channel sounding and modeling, and 3) system performance evaluation.
JON W. WALLACE, JØRGEN BACH ANDERSEN, BUON KIONG LAU, BABAK DANESHRAD, Jun-ichi Takada   +4 more
openaire   +2 more sources

Fundamental limits in sensitivity minimization: multiple-input-multiple-output (MIMO) plants

IEEE Transactions on Automatic Control, 2001
The paper deals with the problem of the smallest achievable \(H_{\infty}\) norm of various weighted sensitivity functions subject to internal closed-loop stability. These values represent fundamental limits because they are the best achievable under a minimal requirement of stability.
Thomas S. Brinsmead, Graham C. Goodwin
openaire   +2 more sources