Multi-Polarized MIMO Communications: Channel Model, Mutual Information and Array Optimization

2007 ◽  
Author(s):  
Claude Oestges ◽  
Maxime Guillaud ◽  
Merouane Debbah
Keyword(s):  
Mutual Information ◽  
Channel Model ◽  
Mimo Communications ◽  
Array Optimization

Sensor-Array Optimization Based on Mutual Information for Sanitation-Related Malodor Alerts

2019 ◽  
Author(s):  
Jin Zhou ◽  
Claire M. Welling ◽  
Siddharth Kawadiya ◽  
Marc A. Deshusses ◽  
Sonia Grego ◽  
...  
Keyword(s):  
Mutual Information ◽  
Sensor Array ◽  
Array Optimization

scholarly journals Method for Determining Broadcaster Advised Emergency Wake-up Signal for ISDB-T Digital Television Receivers

2019 ◽  
Vol 1 ◽  
pp. 103-112 ◽  
Author(s):  
Satoshi Takahashi
Keyword(s):  
Mutual Information ◽  
Channel Model ◽  
Warning System ◽  
Integrated Services ◽  
Duty Ratio ◽  
Digital Television ◽  
Asymmetric Channel ◽  
Control Message ◽  
Digital Broadcasting ◽  
Configuration Control

There is a way to automatically wake up television receivers when a broadcaster sends out an emergency alert. In the Integrated Services Digital Broadcasting-Terrestrial (ISDB-T) digital television standard, the emergency wake-up procedure is called an Emergency Warning System (EWS). In ISDB-T, the special signal is embedded in a control message known as transmission and modulation configuration control (TMCC). However, improper identification of the wake-up signal, often encountered in mobile reception, leads to unnecessary wake ups. In this paper, a method of reliably determining a wake-up signal is proposed by assuming that broadcasters will not change the TMCC message except for the wake-up signal when the broadcaster sends out an emergency alert. A change in the wake-up bit leads to variation parity, and the proposed method also relies on such variations. Mutual information to be obtained by the wake-up receiver is evaluated using the memoryless binary asymmetric channel model. Results showed that the proposed method provided mutual information even at a Eb/N₀ being lower than 10 dB. Mutual information of the proposed method with intermittent reception is also analyzed as a function of the duty ratio of the intermittent receiver.

A Cluster-Based Channel Model for Massive MIMO Communications in Indoor Hotspot Scenarios

2019 ◽  
Vol 18 (8) ◽  
pp. 3856-3870
Author(s):  
Jianzhi Li ◽  
Bo Ai ◽  
Ruisi He ◽  
Mi Yang ◽  
Zhangdui Zhong ◽  
...  
Keyword(s):  
Massive Mimo ◽  
Channel Model ◽  
Mimo Communications

scholarly journals A Novel Channel Model and Optimal Beam Tracking Schemes for Mobile Millimeter-Wave Massive MIMO Communications

2021 ◽  
Author(s):  
Joydev Ghosh ◽  
Huiling Zhu ◽  
Huseyin Haci
Keyword(s):  
Millimeter Wave ◽  
Channel Model ◽  
Multiple Input Multiple Output ◽  
The Novel ◽  
Mimo Communications ◽  
Multiple Input ◽  
Input Multiple Output ◽  
Optimal Beam ◽  
Beam Tracking ◽  
The Relationship

<div>A novel channel model has been proposed for mobile millimeter-wave (mmWave) massive multiple-input multiple-output (MIMO) communications to evaluate the effect of end-user mobility. In this model the variance of number of clusters and number of rays generated from each cluster is taken into account that is novel and different from widely used channel models. Two optimum codebook based beam-tracking schemes multi-objective joint optimization codebook (MJOC) and linear hybrid combiner (LHC) have been proposed for the novel channel model and their performance for spectral efficiency (SE) is presented. Performance for the two most commonly used channel state information (CSI) estimation approaches is investigated. Finally, the relationship between the beamforming training blocks and optimal beam tracking scheme is presented.</div>

A 2-D Geometry-Based Stochastic Channel Model for 5G Massive MIMO Communications in Real Propagation Environments

2020 ◽  
pp. 1-12
Author(s):  
Yang Zhang ◽  
Xijia Li ◽  
Lihua Pang ◽  
Yaping He ◽  
Guangliang Ren ◽  
...  
Keyword(s):  
Massive Mimo ◽  
Channel Model ◽  
Mimo Communications

scholarly journals Allied Power Constraint Optimization and Optimal Beam Tracking Scheme for Mobile mmWave Massive MIMO Communications

2021 ◽  
Author(s):  
Joydev Ghosh ◽  
In-Ho Ra ◽  
Saurabh Singh ◽  
Huseyin Haci ◽  
Khaled AlUtaibi ◽  
...  
Keyword(s):  
Massive Mimo ◽  
Channel Model ◽  
Total Power ◽  
Constraint Optimization ◽  
Data Traffic ◽  
5G Networks ◽  
Power Constraint ◽  
Mimo Communications ◽  
Optimal Beam ◽  
Beam Tracking

<div>The fifth generation (5G) networks and internet of things (IoT) promise to transform our lives by enabling various new applications from driver-less cars to smart cities. These applications will introduce enormous amount of data traffic and number of connected devices in addition to the current wireless networks. Thus 5G networks require many researches to develop novel telecommunication technologies to accommodate these increase in data traffic and connected devices. In this paper, novel power constraint optimization and optimal beam tracking schemes are proposed for mobile mmWave massive MIMO communications. A recently published novel channel model that is different from other widely used ones is considered. The channel model considers the number of clusters and number of rays within each cluster as varying due to user mobility. The proposed power constraint optimization scheme harmonizes conventional total power constraint (TPC) and uniform power constraint (UPC) schemes into a new one called allied power constraint (APC) that can significantly improve the system performance in 5G networks while achieving fairness among users. TPC and UPC have major drawbacks with respect to fairness and achieving quality-of-service (QoS) for users in dense networks. Thus APC aims to harmonize TPC and UPC by adjusting each antenna element’s constraint to adapt for some power resilience to a specific antenna element, hence proposing an intermediate solution between the two extreme case power constraint optimization schemes. Three optimal beam tracking schemes: (i) conventional exhaustive search (CES), (ii) multiobjective joint optimization codebook (MJOC), and (iii) linear hybrid combiner (LHS) scheme, have been provided for the mobile mmWave massive MIMO system with the proposed APC scheme. For the proposed APC scheme a comprehensive performance analysis is provided and compared with TPC and UPC. Spectral efficiency (SE), bit-error-rate (BER), Jain’s fairness index, channel occupancy ratio (COR) and instantaneous interfering power metrics are investigated. It has been shown that the proposed scheme can significantly outperform conventional schemes.</div>

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