Wireless Communications - Science topic

IEEE 2024 4th International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC 2024) will be held in Xiamen, China on December 27-29, 2024.

ICAIRC 2024 aims to be the premier global forum for presenting, discussing, and promoting cutting-edge advancements in intelligent robot control systems and wireless communication. With a focus on the integration of artificial intelligence, natural computing, and evolutionary-inspired computing within wireless control systems for telerobotics, the conference seeks to foster international collaboration among industry experts, researchers, and academics. Attendees will have the opportunity to engage with groundbreaking research, participate in in-depth discussions, and utilize extensive networking opportunities, all designed to drive innovation and academic excellence in these dynamic and rapidly evolving fields. The event will feature keynote addresses from eminent industry leaders, interactive sessions, and workshops that encourage forward-thinking and collaborative breakthroughs.

The topics of interest for submission include, but are not limited to:

◕ Artificial Intelligence

· Artificial Intelligence Applications & Technologies

· Artificial Neural Networks

· Artificial Intelligence tools & Applications

· Bayesian Networks

· Neuroinformatics

......

◕ Robotics Science and Engineering

· Robot control

· Mobile robotics

· Intelligent pension robots

· Mobile sensor networks

· Perception systems

......

◕ Communication

· Optical Communications

· Wireless Communications and Technologies

· High-Speed Networks

· Communication Software

· Ultra-Wideband Communications

......

All papers, both invited and contributed, the accepted papers, will be published and submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore’s scope and quality requirements, and also submitted to EI Compendex and Scopus for indexing. All conference proceedings paper can not be less than 4 pages.

Full Paper Submission Date: November 30, 2024

Registration Deadline: December 7, 2024

Full Paper Submission Date: December 14, 2024

Conference Dates: December 27-29, 2024

Please send the full paper(word+pdf) to Submission System:

Call for papers: IEEE 2024 4th International Conference on Artificial Intelligence, Robotics, and Communication (ICAIRC 2024) will be held in Xiamen on December 27-29, 2024.

大会官网(投稿网址）：https://ais.cn/u/3aMje2

大会时间：2024年12月27-29日

大会地点：中国-厦门

收录检索：IEEE Xplore, EI Compendex, Scopus

第四届人工智能、机器人和通信国际会议（ICAIRC 2024）定于2024年12月27-29日在中国厦门举行。会议旨在为从事“人工智能、机器人和通信”研究的专家学者、工程技术人员、技术研发人员提供一个共享科研成果和前沿技术，了解学术发展趋势，拓宽研究思路，加强学术研究和探讨，促进学术成果产业化合作的平台。大会诚邀国内外高校、科研机构专家、学者，企业界人士及其他相关人员参会交流。

1. 人工智能

人工智能应用与技术

人工神经网络

人工智能工具与应用

贝叶斯网络

神经信息学

机器人

数据挖掘

......

2. 机器人科学与工程

机器人控制

移动机器人

智能养老机器人

移动传感器网络

感知系统

微型机器人和微型操纵

视觉服务

搜索、救援和现场机器人

机器人传感与数据融合

......

3. 通信

光通信

无线通信和技术

高速网络

通信软件

超宽带通信

多媒体通信

密码学和网络安全

绿色通信

移动通信

ICAIRC 2024所有的投稿都必须经过2-3位组委会专家审稿，经过严格的审稿之后，最终所有录用的论文将由IEEE出版（ISBN号：979-8-3315-3122-5），收录进IEEE Xplore数据库，见刊后由期刊社提交至EI 、SCOPUS收录。

—— 每篇录用缴费的文章，允许一名作者免费参会 ——

（1）口头汇报：10-15分钟的全英PPT演讲；

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*开放给所有投稿作者与自费参会人员；格式：全英-A1尺寸-竖版，需自制；制作后提交海报图片至会议邮箱icairc@163.com，主题及海报命名格式为：海报展示+姓名+订单号。

（3）仅参会：非投稿作者，现场听众参会。

*仅开放给自费参会人员，（3人及以上）组队参会优惠请联系会议秘书。

（4）报名参会：https://ais.cn/u/3aMje2

What is 6G Technology?

As we stand on the edge of the 5G era, the world is already buzzing about 6G technology—the next big leap in wireless communication. But what exactly is 6G, and how will it revolutionize our digital world?

In this video, we explore:

The evolution of 6G and how it differs from 5G.

Its potential to enable ultra-fast data speeds, latency reduction, and advanced IoT applications.

The exciting possibilities 6G brings for industries like AI, autonomous vehicles, smart cities, and immersive virtual reality.

Stay ahead of the curve and dive into the future of wireless communication!

Watch now: What is 6G Technology?

#6GTechnology #FutureTech #WirelessCommunication #AI #SmartCities #DigitalTransformation #TechInnovation #ProfessorRahulJain

2024 4th International Conference on Electronic Information Engineering and Computer Science (EIECS 2024) will be held on September 27-29, 2024 in Yanji, China.

The topics of interest for submission include, but are not limited to:

◕ Electronic Information Engineering

· Signal processing

· Wireless network

· Information system

· Next generation mobile communication technology

· Internet of things

......

◕ Computer Science

· Computer system

· Artificial intelligence

· Machine learning and deep learning

· Pattern recognition

· Computer vision and graphics

......

All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.

Registration Deadline: August 30, 2024

Final Paper Submission Date: August 30, 2024

Conference Dates: September 27-29, 2024

Please send the full paper(word+pdf) to Submission System:

Call for papers: IEEE 2024 7th International Conference on Mechanical, Control and Computer Engineering (ICMCCE 2024), organized by Chaohu University and Shenyang Ligong University will be held in Hangzhou during October 25 to 27, 2024.

大会官网(投稿网址）：https://ais.cn/u/IrMvmq

大会时间：2024年10月25-27日

大会地点：中国杭州

收录类型：EI Compendex，Scopus

主办单位：巢湖学院

第七届机械、控制与计算机工程国际学术会议定于2024年10月25日至27日在中国杭州召开。本届会议由巢湖学院主办，主要围绕“机械”、“控制”与“计算机工程”等研究领域展开讨论。旨在为机械、控制与计算机工程方面的专家学者及企业发展人提供一个分享研究成果、讨论存在的问题与挑战、探索前沿科技的国际性合作交流平台。欢迎海内外学者投稿和参会。

1、机械工程

2、自动化及控制工程

3、计算机工程

4、电子和通信技术

更多相关主题请查看官网

本次会议投稿论文都须经过2-3位组委会专家审稿，最终录用的论文将提交出版，见刊后提交至 EI Compendex、Scopus检索，目前该出版社EI检索非常稳定。往届会议已被EI检索！

所有参会人员均可申请报告或海报展示，可开具证明

1、作者参会：录用文章允许一位作者免费参会

① 申请听众参会，无需准备报告或海报；

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2、主讲嘉宾：申请主题演讲，由组委会审核；

3、听众参会：只参会听讲不投稿，也可申请口头报告或海报展示；

4、报名参会：https://ais.cn/u/IrMvmq

Dear Professors,

If any one know about the technical conference in Australia between 14-21 September 2024, Please let me know. Thanking you in advance.

2024 5th International Conference on Computer Vision and Data Mining(ICCVDM 2024) will be held on July 19-21, 2024 in Changchun, China.

---Call For Papers---

The topics of interest for submission include, but are not limited to:

◕ Computational Science and Algorithms

· Algorithms

· Automated Software Engineering

· Computer Science and Engineering

......

◕ Vision Science and Engineering

· Image/video analysis

· Feature extraction, grouping and division

· Scene analysis

......

◕ Software Process and Data Mining

· Software Engineering Practice

· Web Engineering

· Multimedia and Visual Software Engineering

......

◕ Robotics Science and Engineering

Image/video analysis

Feature extraction, grouping and division

Scene analysis

......

All accepted papers will be published by SPIE - The International Society for Optical Engineering (ISSN: 0277-786X), and submitted to EI Compendex, Scopus for indexing.

Full Paper Submission Date: June 19, 2024

Registration Deadline: June 30, 2024

Final Paper Submission Date: June 30, 2024

Conference Dates: July 19-21, 2024

Dear colleagues

It is not possible to send or receive a sound or image from the Earth while it is rotating around itself or around the sun to outer space or vice versa, because the connection will be cut off due to the specificity of the wireless communication channel when leaving the Earth.

I am currently studying index modulation aided NOMA technique but my mind blown up with mathematical expressions. Can someone explain to me these;

My reference study paper: Performance Analysis of Uplink Index-Modulated NOMA for 6G Wireless Communications

Y. -K. Bae, J. S. Yeom and B. C. Jung, "Performance Analysis of Uplink Index-Modulated NOMA for 6G Wireless Communications," in IEEE Wireless Communications Letters, vol. 12, no. 8, pp. 1404-1408, Aug. 2023, doi: 10.1109/LWC.2023.3275944.

Hi researchers

I would like to ask, what are the bands and subbands of 5G/6G and beyond wireless communications?

Thanks for any reply

The annual Optoelectronic Information and Functional Materials conference (OIFM) offers delegates and members a forum to present and discuss the most recent research. Delegates and members will have numerous opportunities to join in discussions on these topics. Additionally, it offers fresh perspectives and brings together academics, researchers, engineers, and students from universities and businesses throughout the globe under one roof.

The topics of interest for submission include, but are not limited to:

1. Optoelectronic information science

- Optoelectronics

- Optical communication and optical network

- Optical fiber communication and system

......

2. Information and Communication Engineering

- Communication and information system

- Wireless communication, data transmission

- Switching and broadband network

......

3. Materials science and Engineering

- New materials

- Optoelectronic functional materials and devices

- Bonding material

......

All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.

Full Paper Submission Date: February 5, 2024

Registration Deadline: March 22, 2024

Final Paper Submission Date: March 29, 2024

Conference Dates: April 5-7, 2024

I am curious about what happened to the atomizer software by Buckheit J. (http://statweb.stanford.edu/~wavelab/personnel/) and if it is available somewhere.

Sadly I found only 2 dodgy sites that require a login to download the MATLAB code. Does someone have any information on where to get it from?

Alternatively, if there are other toolkits that have implemented this code please let me know, it does not have to be MATLAB, any language is fine for me :).

Thank you.

Hello,

I would like to know all the details about the term eigen beamforming.

Is precoding essential for eigen beamforming?

It would be great if you could give any help with this topic.

Thanks

The topics of interest include, but are not limited to:

1. Smart City

- Smart Grid

- Smart Manufacturing

- Wireless Communication

......

2. Information System

- Information Systems and Security

- Information Management Systems

- Internet of Things (IoT)

......

3. Other Related Topics

All accepted full papers will be published on Conference Proceedings and submitted to EI Compendex and Scopus for indexing.

Registration Deadline Date: May 8, 2024

Final Paper Submission Date: May 13, 2024

Conference Date: May 17-19, 2024

Hi, can anyone tell max page limit for publication in "EURASIP Journal on Wireless Communications and Networking" ? . Also, is this limit for double line space (review) or final publication ?

lattice method in scma (wireless communication)

..

I am trying to apply machine learning to wireless communication. So I need to generate a BPSK sample data set in Matlab. Is there any special way to generate sample data?I need your help to start it just for a  source-destination direct link. predicting the received data at the destination.

How can we adapt the analytical models such as DCF model by Bianchi to the practical wireless systems??

Understanding the properties of base stations, such as their location, antenna configuration, transmission parameters, and network topology, is crucial for various research endeavors in the field of wireless communications. Accessing this information can provide valuable insights into network performance, interference patterns, and propagation characteristics, enabling researchers to optimize network deployment.

I can't see the IF of this journal on its web site. I want to ask the research community to give their input in this regard.

Currently, there are no standard underwater acoustic channel models like Rayleigh and Rician in terrestrial wireless communication. Suppose we are in the process of developing an underwater acoustic channel model, what are the latest algorithms that can be included to determine the parameters of the model and also to improve the underwater channel efficiency?

Wireless communication application

What is the Relation between Absolute Propagation Time (ns) with respect to the Received Power (dBm) at the UE end? I would appreciate if anyone can explain the two graphs and the parameters associated with these graphs. Thanks.

(Two files are attached for reference)

Hi everyone,

I am trying to simulate an M-QAM MIMO system, and I want to decode the received signal using QR decomposition and sphere decoding.

However, I am struggling to understand how to implement the simple tree sphere decoding algorithm.

Here's my understanding so far:

Given a receive signal as follows:

1. Y = HX + N;

where X is a K x 1 vector consisting of K MQAM data symbols, H is a K x K fading matrix, N is a

K x 1 AWGN vector, and Y is the K x 1 received vector.

We perform QR detection as follows:

2. H = QR;

where Q is a K x K Unitary matrix, and R is a upper-triangular matrix with entry R(i, j),

with i and j being the row and column indices respectively.

Then we equalise the receive signal in 1. as:

3. Z = (Q^H)*Y = RX + (Q^H)*N , where Q^H is the Hermitian transpose of Q.

I now want to perform Sphere decoding based on 3. This is where I am struggling.

My best attempt at coding this algorithm in Matlab is shown below (Assuming K = 8, and assuming an arbitrary radius d):

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

% ## Inputs:

% # R, upper triangular matrix

% # Z,vector receive signal

% # d, radius of sphere

%

% ## Output

% # X_hat, vector of estimated symbols

n = 8; % n => K

d_vector = zeros(1, n);

d_vector(n) = d;

Upp_bound = zeros(1, n);

Low_bound = zeros(1, n);

minR = d_vector(n);

intersum = zeros(1, n);

intersum(n) = Z(n);

Upp_bound(n) = (d_vector(n) + Z(n))/R(n, n);

Low_bound(n) = (-d_vector(n) + Z(n))/R(n, n);

X_hat = zeros(1, n);

% ## begin algorithm

if Low_bound(n) > Upp_bound(n)

return null;

else

X_hat(n) = Low_bound(n);

end

k = n;

while X_hat(n) <= Upp_bound(n)

if X_hat(k) > Upp_bound(k)

k = k + 1;

X_hat(k) = X_hat(k) + 1;

else

if k > 1

k = k - 1;

d_vector(k) = sqrt(d_vector(k)^2 - (intersum(k + 1) - R(k + 1, k + 1)*X_hat(k + 1))^2);

intersum(k) = Z(k) - R(k, (k + 1):n)*X_hat((k + 1):n);

Upp_bound(k) = (d_vector(k) + intersum(k))/R(k, k);

Low_bound(k) = (-d_vector(k) + intersum(k))/R(k, k);

if Low_bound(k) > Upp_bound(k)

k = k + 1;

X_hat(k) = X_hat(k + 1);

else

X_hat(k) = Low_bound(k);

end

else

while X_hat(k) <= Upp_bound(k)

if minR > norm(Z - R*X_hat, 'fro')^2

X_est_vector = X_hat; %found X_hat

minR = norm(Z - R*X_hat, 'fro')^2;

end

X_hat(k) = X_hat(k) + 1;

end

k = k + 1;

X_hat(k) = X_hat(k) + 1;

end

end

end

%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%

Please could you tell me where I might be going wrong.

Thank you.

Hi everyone,

I am trying to derive the error performance of a wireless communications system, and I run into a series of Independent and Identically Distributed (i.i.d.) random variables (RVs) as follows:

Z = X_1 + X_2 + ... + X_N,

where N denotes the number of RVs being summed together. The distribution of each X_1, .., X_N may be Rayleigh, Rice, etc.

Now, I know that the Central Limit Theorem (CLT) can be applied assuming high N, such that the mean of Z becomes:

E[Z] = N*E[X_N],

and the variance of Z becomes:

Var[Z] = N*Var[X_N].

However, in my case, N is not high enough to use CLT. In fact, I am working with N values in the set N = {2, 3, 4, 5, 6, 7, 8, 9, 10}.

So my question is, if I am given the CDF (denoted by F_N(t)) and PDF (denoted by f_N(t)) of each X_1, ..., X_N, how do I evaluate the mean and variance of Z? Do you use some sort of convolution property, or something else?

Any help would be appreciated.

Thank you.

What is difference between spin-transfer torque nano oscillators and spin-hall nano oscillators?

In optical wireless communication, there are two main system architectures:

• Intensity modulation and direct detection (IM/DD)

• Coherent modulation/detection

In IM/DD systems, the optical front-end can only detect the optical intensity while coherent receivers can detect both amplitude and phase.

Discuss how we can benefit from Integrated reflective surfaces in IM/DD and coherent optical wireless systems. For each system type, explain your underlying assumptions and any other essential information to support your arguments.

Hi everyone!

I want to have expertise opinion abut these.

Will it be cost effective or not?

What about the signal strength (SNR) and system complexity?

Hi everyone,

I wanted to know how to perform Rician fading in matlab.

I have done Rayleigh fading, which is simply:

h = sqrt(1/2)*(randn(1, 1) + 1i*randn(1, 1));

From what I understand so far about Rician fading, it is computed in terms of a Rician factor K, and a scaling parameter Omega (I will assume Omega = 1). It is also computed in terms of Line-of-Sight components and Non-Line-of-Sight components.

So what i did was:

hLOS = sqrt(1/2)*(randn(1, 1) + 1i*randn(1, 1));

hNLOS = sqrt(1/2)*(randn(1, 1) + 1i*randn(1, 1));

h = sqrt(K/(K + 1))*hLOS + sqrt(1/(K + 1))*hNLOS;

I want to confirm if this is correct or not. If it is not, please could someone offer some guidance on how to correct this.

Thank you.

How to filter input signal through lognormal shadowing model or kappa mu shadowing model by using a code which generates PDF in Matlab?

i have transfer functions from two different papers. are they same.

in H=exp(-alpha(f)*l)

here, do we have to put values of f or f is just an function related to alpha.?

Machine learning, deep learning, wireless, 5G, 6G and communications

For generating antenna pattern multiplexing when we apply dc biased sinusoidal voltage to the variable reactance of the Electronically Steerable Parasitic Array Radiator (ESPAR) antenna, the received signal appear as harmonic due to non linear properties resulting loosing signal components? which method can minimize the issue for making the antenna pattern more efficient?

In many books and papers, they used to use the complex form of the channel effect response. However, in reality, the signal is real values and also the channel.

Is it correct to use the following approximation? (in MATLAB)

% Rayleigh channel fading

eta = 4; %Path loss exponent

d = 200; %Distance from BS to the user

h_var = sqrt(d^-eta); % channel effect variance, mean is zero

h = h_var*randn(1,length(tx))/sqrt(2);

In a signal is to be transmismitted, first pilot symbols are added and then through Mach-zehnder modulator it has to be transmitted for optical communication purposes. So, for pilot symbols, they have to be go through Mach-Zehnder modulator. The output of Mach-Zehnder modulator is E_out=cos(phi); Where phi= ((U+U_dc)/U_pi)*pi. and here, U_dc, U_pi and pi are constant. And U is the information after inserting pilots. This signal E_out is sent through the channel h.

Now, my question is that how should I estimate the channel because the pilot are gone through Mach-Zehnder modulator before the channel. and How should I extract the pilots and estimate the channel? Thank you.

"Waveguide for port number 1 is too short. The waveguide must be homogeneous for at least three mesh planes along propagation direction" is shown when I run the designed micro-strip antenna by CST software.

Hi everyone,

I am trying to derive the variance of a Random Variable as part of my research.

I wanted to check if I have simplified the expression in the word document attached correctly. In other words, if I take the variance of a sum or difference of linear combinations (series) of random variables, is that equal to the sums of the variances of the random variables, where the different series differ by a constant "alpha" (see the document). Note that the random variable in each series is the same random variable.

I tried deducing this by using a few properties of variance:

1. Var(aX) = a^2 Var(X)

2. Var([series from 1 to n of] X) = n Var(X)

3. Var(aX + bY) = a^2Var(X) + b^2Var(Y), where X and Y are independent RVs.

However, I am not sure if this correct. Please could you check if my understanding of this is correct.

Thank you.

Hi everyone,

I am having a problem deriving the variance of a variable which is expressed in terms of a series expression where the sum term is a random variable.

I have attached a word document which illustrates the types of expressions which need to be evaluated in my derivation of the random variable in question. I hope this is clear enough to explain my problem.

I want to know how to evaluate these types of expressions, where the random variable is part of the series term.

Thank You

Hi, I am working on UAV deployment in a wireless communication scenario to cache. Does anybody know how to simulate/deploy UAVs in Matlab using weighted or simple k-mean clustering? Below I also attached a snapshot.

Thank you

For polarization diversity in wireless communication, often dual orthogonal polarization antenna is considered. I want to study the effect of non-orthogonal polarization antennas on wireless communication channels.

how to analyze the non-orthogonal polarization antenna effect to make a proper study of polarization diversity in MIMO wireless communication.

kindly suggest any relevant theory or research papers.

Thank you.

We know that in the Han-Kobayashi region, the to be transmitted data is divided into two parts, private and common. So, what type of information does these parts contain ?

In the textbook of Tse "Fundamental of wireless communications", the LOS MIMO channel model is characterized by $H = \alpha \times a(\theta) *a(\gamma)^H $ where a(\cdot)$ is the steering vector. The model uses conjugate transpose while there are other papers use transpose. This has puzzled me a lot. I understand if the transmitt antennas and receive antennas are different, both of them seem to be right. But how about the full-duplex antennas, which one should be right?

I'm looking for an advises regarding Machine Learning methods applied in Wireless books to solve some optimization problems.

According to my knowledge, the channel estimation is to analyze the channel realization based on the pilot signal, and the channel prediction is to obtain it based on past channel realizations.

Therefore, the channel prediction can be utilized when the pilot signal is contaminated. In other words, the channel prediction is only deserved in the situation when the pilot signals are crashed so that the channel estimation doesn’t work.

Did I understand right? Thank you for your valuable responses in advance.

In the context of wireless communication, I have heard people asking will the AI/ML model be trained online/offline? I would like to know what is the difference between these two terms and how they can impact the system performance?

Hello everyone, I need some channel models MATLAB code to simulate my Underwater Visible Light Communication algorithm. If anybody has some models then please provide. thank you.

Hey guys,

Please suggest the list of scopus list of journals for VLSI, Wireless networks and Wireless communications (Unpaid and paid)

Dear all,

I am looking for a video lectures for wireless communication by Andrea Goldsmith. The access of these videos is limited on Stanford University website.

if anyone have it (or have a way to download it), Please share it with me

Thank you very much

Since the importance of Machine Learning (ML) is significantly increasing, let's share our opinions, publications, or future applications on Optical Wireless Communication.

Thank you,

Ezgi Ertunc

Most of the authors presented their work on Mach-Zehnder modulator in fiber optic communication. When I saw Mach-Zehnder Modulator on internet for buying it is showing it with fiber optic cable both sides of Mach-Zehnder Modulator(input and oupt side). My question is that can we use Mach-zehnder modulator for intensity modulation in wireless optical communication? Please help.

What are the areas in fading channels like TWDP,Rayleigh fading Channel,Nakagami fading Channels?? ....Is pursuing research in this area are limited?Is there is a chance of publishing many papers in this area?

I am keen to do research in wireless communication. I would like to know research idea in this field.

Both deep learning (DL) and quantum computing (QC) are emerging technologies in the realm of research. Please share your valuable opinion on the following concerns.

Thanks for your time.

For Intensity modulation, I am using external modulation. I want to simulate mach-zehnder modulator based intensity modulation. Please suggest simulation in MATLAB

I have an antenna module which is a planar phased array for 5G NR FR2 base station (i.e., BS type 2-O). I need to perform over-the-air (OTA) radiated conformance testing to verify the performance of antenna module to obey specification of 3GPP. Hence, I study the attached file 3GPP TS 38.141-2 V16.10.0.

For transmitter test (chapter 6), the module is connected with a signal generator (SG), which make NR signals generated by SG are emitted through antenna module. And then, a feed antenna is regarded as receiving end and connected with a signal analyzer (SA) and spectrum for analysing received signal. On the other hand, for receiver test (chapter 7), exchange the placements by module and probe antenna to perform conformance testing. The complete transmission and received process run in a CATR or anechoic chamber.

In my opinion, the section 4.7.2, 4.9.2 and Annex A is strongly relate to the setup. (I am confused about difference between intention of test configurations and test model respectively in section 4.7.2 and 4.9.2. I googled other materials (others attached file) about this issue, there is only description about Test Model NR-FR2-TM in test procedure rather than Test Configurations NRTC )

I have some base of communication system but I am short of practical experience of RF measurement, so this problem maybe is not an easy question to answer. If you cannot answer by a few words, please provide clues or direction of search.

Many thanks for your answer.

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In your opinion, what are the interesting and worthy topics for research in wireless communication systems?

Could any one please help me in suggesting some resources where I could find a comparison curve between signal strength after Multi Path propagation effect with respect to obstacle positions between transmitter and receiver.

After conduction some experiment I found that the effect was greater near Rx or Near Tx but lesser when the obstacle is in same distance from Rx and Tx. Why such phenomena happens?

Hello

I am going through some digital communication literature, where some research papers have used the following formula to calculate the sum rate

Sum_rate=Summation (log2(1+SINR(i)) eq.1

My confusion is as follows:

1. Why is bandwidth(B) not included i.e. B.log2(1+SINR)

2. What will be the units (e.g. bps/Kbps/Mbps etc) if eq.1 is used.

Thanks

Hello, i am searching for some new innovation points in 6G about networking slice recently.

I want to know what updates will be made to network slicing in 6G, which cannot do well in 5G.

(Maybe about architectures, methodologies, algorithms, and combination with other 6G new technologies.)

Can you recommend me some good ideas, innovation points or papers( and white papers), thank you.

Recently, I focus on UAV-enabled air-to-air wireless communications, in which the UAVs are flying at an altitude of 60~150 m. In this case, which channel model is more applicable? Intuitively, I think the LoS channel is suitable since there should be no obstacles at this high altitude. Is my idea correct? Could you provide me with some references, thank you very much for your help!

Please guide me about the difference between SINR threshold and Minimum discernable signal.

From my search I have come across the following.

1) A signal can be decoded if the SINR of the received signal is higher than the SINR threshold. Does it mean that we should not be concerned about the minimum required power, and that if the received signal satisfies the SINR threshold, it will be successfully decoded?

2) I also have come across the idea of minimum discernable level. For instance -70 db is considered acceptable for some types of communication.

Which of the two I should follow. As in the first case, I get very low transmit powers and still satisfy the SINR threshold, while the transmit powers in the 2nd case are way too high compared to the first case.