scholarly journals An estimation-based approach to multiple-input multiple-output (MIMO) channel equalization

2002 ◽  
Author(s):  
A.M. Tehrani ◽  
B. Hassibi ◽  
J. Cioffi
Keyword(s):  
Multiple Input Multiple Output ◽  
Channel Equalization ◽  
Mimo Channel ◽  
Multiple Input ◽  
Input Multiple Output

scholarly journals Conceiving Inferential Prototypes of MIMO Channel Models via Buckingham’s Similitude Principle for 30+ GHz through THz Spectrum

2021 ◽  
Vol 9 (3) ◽  
pp. 1-35
Author(s):  
Perambur Neelakanta ◽  
Dolores De Groff
Keyword(s):  
Multiple Input Multiple Output ◽  
Path Loss ◽  
Spatial Multiplexing ◽  
Mimo Channel ◽  
Channel Models ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Channel Statistics ◽  
Wave Range ◽  
Test Spectrum

Facilitating newer bands of ‘unused’ segments (windows) of RF spectrum falling in the mm-wave range (above 30+ GHz) and seeking usable stretches across unallocated THz spectrum, could viably be considered for Multiple Input Multiple Output (MIMO) communications. This could accommodate the growing needs of multigigabit 3G/4G applications in outdoor-based backhauls in picocellular networks and in indoor-specific multimedia networking. However, in contrast with cellular and Wi-Fi, wireless systems supporting sub-mm wavelength transreceive communications in the outdoor electromagnetic (EM) ambient could face “drastically different propagation geometry”; also, in indoor contexts, envisaging pertinent spatial-multiplexing with directional, MIMO links could pose grossly diverse propagation geometry across a number of multipaths; as such, channel-models based on stochastic features of diverse MIMO-specific links in the desired test spectrum of mm-wave/THz band are sparsely known and almost non-existent. To alleviate this niche, a method is proposed here to infer sub-mm band MIMO channel-models (termed as “prototypes”) by judiciously sharing “similarity” of details available already pertinent to traditional “models” of lower-side EM spectrum, (namely, VLF through micro-/mm-wave). Relevant method proposed here relies on the “principle of similitude” due to Edgar Buckingham. Exemplar set of “model-to-(inferential)-prototype” transformations are derived and prescribed for an exhaustive set of fading channel models as well as, towards estimating path-loss of various channel statistics in the high-end test spectrum.

scholarly journals High-Performance Multiple-Input Multiple-Output Antenna System For 5G Mobile Terminals

Electronics ◽  
2019 ◽  
Vol 8 (10) ◽  
pp. 1090 ◽  
Author(s):  
Mujeeb Abdullah ◽  
Saad Hassan Kiani ◽  
Lway Faisal Abdulrazak ◽  
Amjad Iqbal ◽  
M. A. Bashir ◽  
...  
Keyword(s):  
Multiple Input Multiple Output ◽  
Antenna System ◽  
Mimo Channel ◽  
Slot Antenna ◽  
Total Efficiency ◽  
Multiple Antenna ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Metal Casing ◽  
Multiple Antenna System

In this paper, the systematic design of a multiple antenna system for 5G smartphone operating at 3.5 GHz for multiple-input multiple-output (MIMO) operation in smartphones is proposed. The smartphone is preferred to be lightweight, thin, and attractive, and as a result metal casings have become popular. Using conventional antennas, such as a patch antenna, Inverted-F antennas, or monopole, in proximity to metal casing leads to decreasing its total efficiency and bandwidth. Therefore, a slot antenna embedded in the metal casing can be helpful, with good performance regarding bandwidth and total efficiency. The proposed multiple antenna system adopted the unit open-end slot antenna fed by Inverted-L microstrip with tuning stub. The measured S-parameters results agree fairly with the numerical results. It attains 200 MHz bandwidth at 3.5 GHz with ports isolation of (≤−13 dB) for any two antennas of the system. The influence of the customer’s hand for the proposed multiple antenna system is also considered, and the MIMO channel capacity is computed. The maximum achievable MIMO channel capacity based on the measured result is 31.25 bps/Hz and is about 2.7 times of 2 × 2 MIMO operation.

scholarly journals Linear Precoding Designs for MIMO VLC Using Multi-Color LEDs under Multiple Lighting Constraints

Crystals ◽  
2018 ◽  
Vol 8 (11) ◽  
pp. 408 ◽  
Author(s):  
Ye Xiao ◽  
Yi-Jun Zhu ◽  
Zheng-Guo Sun
Keyword(s):  
High Speed ◽  
Mean Squared Error ◽  
Transmission Rate ◽  
Multiple Input Multiple Output ◽  
Visible Light Communication ◽  
Mimo Channel ◽  
Practical Applications ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Mimo Technology

Multiple-input multiple-output (MIMO) technology as an efficient approach to improve the transmission rate in visible light communication (VLC) has been well studied in recent years. In this paper, we focus on the MIMO VLC system using multi-color LEDs in the typical indoor scenario. Besides the correlation of the MIMO channel, the multi-color crosstalk interference and quadrangle chromaticity region are also considered to increase the practicality of this system. With the constraints of power, amplitude and chromaticity, an iterative algorithm to minimize mean-squared-error (MSE) is proposed to jointly design the precoder and equalizer. Our proposed algorithm provides an effective method to get the optimal precoder by updating optimization variables iteratively. As the equalizer matrix is fixed at each iteration, the main non-convex precoding design problem is transformed into a convex optimization problem and then solved. With the utilization of multi-color LEDs, our proposed precoding method would be promising to promote the practical applications of high-speed indoor optical wireless communication. Simulation results show that our proposed method owns better performance than conventional chromaticity-fixed schemes and zero-forcing precoding designs.

Analysis and Simulation of Concatenating Orthogonal STBC with TCM in Fading Channels

2013 ◽  
Vol 427-429 ◽  
pp. 2752-2755
Author(s):  
Dong Ming Zhang ◽  
Yong Jun Li ◽  
Li Ding ◽  
Da Wei Zhang
Keyword(s):  
Fading Channels ◽  
Multiple Input Multiple Output ◽  
Block Code ◽  
Coded Modulation ◽  
Mimo Channel ◽  
Performance Simulation ◽  
Trellis Coded ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Better Than

In this paper, we illustrate an orthogonal space-time block code (OSTBC) concatenated with trellis-coded modulation (TCM) model, for information transmission over a multiple-input multiple-output (MIMO) channel with 2 transmit antennas and 1 receive antenna. We establish the model of TCM-OSTBC concatenation using the SIMULINK. Also, the establishment of an independent TCM model and OSTB model are shown in order to compare with the concatenation scheme. Finally, the performance simulation diagram under three schemes is given. As expected, the simulation result clearly shows, the performance of concatenated OSTBC with TCM is better than TCM or OSTBC.

scholarly journals Effect of Antenna Mutual Coupling on MIMO Channel Estimation and Capacity

2010 ◽  
Vol 2010 ◽  
pp. 1-9 ◽  
Author(s):  
Xia Liu ◽  
Marek E. Bialkowski
Keyword(s):  
Channel Estimation ◽  
Mutual Coupling ◽  
Multiple Input Multiple Output ◽  
Mimo Channel ◽  
Channel State ◽  
Estimation Errors ◽  
Channel Estimation Errors ◽  
Perfect Channel State Information ◽  
Multiple Input ◽  
Input Multiple Output

This paper describes investigations into the antenna mutual coupling (MC) effect on channel estimation and capacity of a multiple-input multiple-output (MIMO) wireless communication system. The presented investigations close the gap existing in the previous works which assessed the effect of mutual coupling on MIMO capacity under the assumption of availability of perfect channel state information (CSI) at the receiver. The new approach assumes that the perfect CSI is not available due to channel estimation errors. The investigations are carried out for different spacing between array antenna elements producing a varying effect of mutual coupling on the channel estimation and the resulting MIMO channel capacity.

scholarly journals A Tradeoff between Rich Multipath and High Receive Power in MIMO Capacity

2013 ◽  
Vol 2013 ◽  
pp. 1-7
Author(s):  
Zimu Cheng ◽  
Binghao Chen ◽  
Zhangdui Zhong
Keyword(s):  
Channel Capacity ◽  
Channel Model ◽  
Signal To Noise Ratio ◽  
Multiple Input Multiple Output ◽  
Mimo Channel ◽  
Channel Condition ◽  
Multiple Input ◽  
Two Factors ◽  
Input Multiple Output ◽  
Interesting Discussion

A discussion about which of the two factors, rich multipath (in NLOS) or signal-to-noise ratio (SNR) (usually in LOS), affects the Multiple-Input Multiple-Output (MIMO) channel capacity more is presented in this paper. This interesting discussion is investigated by performing simulations using simple circle scatterer model and WINNER II channel model. And the simulation shows that these two factors behave differently as the channel condition varyies. When the scatterer number in channel is low, the high receive SNR is more important to capacity. The multipath richness will have greater influence when the scatterer number exceeds a certain threshold. However, the channel capacity will not change much as the scatterers continue to increase.

scholarly journals MIMO OTA Testing Based on Transmit Signal Processing

2013 ◽  
Vol 2013 ◽  
pp. 1-7 ◽  
Author(s):  
Jesús Gutiérrez ◽  
Jesús Ibáñez ◽  
Jesús Pérez
Keyword(s):  
Signal Processing ◽  
Closed Form ◽  
Linear Combination ◽  
Multiple Input Multiple Output ◽  
Mimo Channel ◽  
Multiple Input ◽  
Channel Conditions ◽  
Input Multiple Output

Usually, multiple-input-multiple-output (MIMO) testbeds are combined with channel emulators for testing devices and algorithms under controlled channel conditions. In this work, we propose a simple methodology that allows over-the-air (OTA) MIMO testing using a MIMO testbed solely, avoiding the use of channel emulators. The MIMO channel is emulated by linearly combining the signals at the testbed transmitter. The method is fully flexible, so it is able to emulate any equivalent baseband narrowband MIMO channel by adequately selecting the weights of the linear combination. We derive closed-form expressions for the computation of such weights. To prove its feasibility, the method has been implemented and tested over a commercial MIMO testbed.

scholarly journals A wireless MIMO CPM system with blind signal separation for incoherent demodulation

2008 ◽  
Vol 6 ◽  
pp. 101-105
Author(s):  
O. Weikert ◽  
U. Zölzer
Keyword(s):  
Multiple Input Multiple Output ◽  
Continuous Phase ◽  
Signal Separation ◽  
Mimo Channel ◽  
Continuous Phase Modulation ◽  
Blind Signal Separation ◽  
Blind Signal ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Efficient Transmission

Abstract. A multiple-input multiple-output (MIMO) wireless transmission system with continuous phase modulation (CPM) is considered. A novel MIMO CPM receiver with incoherent modulation is presented. The incoherent demodulation of CPM allows an uncomplicated handling of a frequency offset compared to coherent approaches requiring exact knowledge of the carrier frequency. Blind signal separation (BSS) is applied in the proposed MIMO CPM receiver to separate the signals without any knowledge of the MIMO channel. The BSS permits the demodulation of each separated signal by an incoherent CPM demodulator. For bandwidth efficient transmission partial response CPM and non-binary modulation is applied. The applicability of the proposed system is verified by simulation results.

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