Questions related to Wireless Communications
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 ?
Hello everyone, I want the solution manual for this book if there anyone have the solutions kindly refer it to me , Best regards.
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?
Since the importance of Machine Learning (ML) is significantly increasing, let's share our opinions, publications, or future applications on Optical Wireless Communication.
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?
How to filter input signal through lognormal shadowing model or kappa mu shadowing model by using a code which generates PDF in Matlab?
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.
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.
- How DL can be merged with QC?
- What are the current challenges in the DL-based QC?
- What are the tentative application areas for DL-based QC?
Thanks for your time.
hello, I'm looking for a simple model for a Reconfigurable Intelligent Surfaces-assisted wireless network that provides a vision for channel modeling for these systems.
no matter whether deep learning, machine learning, or convex optimization approach is applied to solving the problem and no matter that it is python or Matlab code
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.
- How to set parameters (ex. total output power, modulation, operation band, bandwidth, frame structure, single or multi-carrier, subcarrier spacing, TDD or FDD, and so on) of measuring equipment (SG and SA) for radiated conformance testing according to TS 38.141-2? Would you mind take an simple demonstration for test items in section 6.2 and 7.3?
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.
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?
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.
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.
Recently, I have seen in many papers reviewers are asking to provide computation complexities for the proposed algorithms. I was wondering what would be the formal way to do that, especially for the short papers where pages are limited. Please share your expertise regarding the computational complexities of algorithms in short papers.
Thanks in advance.
I need to write code in MATLAB to find the impulse response of infrared optical wireless communication (IROWC) in the diffuse distribution (wide beam transmitter and wide FOV receiver) ...
Game theory is a very promising technique to achieve optimal outcomes and can be applied to almost all concepts. I am trying to explore game theory for future purposes. However, as a beginner, I couldn't get very good resources regarding game theory.
Please share your resources (i.e., video or blog tutorial, research paper) regarding game theory, which covers the following things.
1. How to apply game theory?
2. How to prove optimal gain after applying game theory, (e.g., proving Nash equilibrium).
3. What are the state-of-the-art game theory techniques?
Thanks in advance.
While reading the literature regarding performance analysis of RIS-Assisted Wireless communication Systems I went through the following terms: Achievable Rate, Sum Rate, Ergodic capacity. How do understand them?
Please help me with the following formulation.
I want to calculate transmit power that can satisfy a given SINR threshold on the receiver side.
My formulation is as follows:
SINR=Received_Power/(Interference+Noise) Eq. 1
If SINR Threshold (SINR_th) is known, we can get the Required_Received_Power and thus the "Required_Transmit_Power" power as follows:
SINR_th=Required_Received_Power/(Interference+Noise) Eq. 2
We know that
Received_Power=Transmit_Power/Pathloss; Eq. 3
Required_Received_Power=Required_Transmit_Power/Pathloss; Eq. 4
Substituing "Required_Received_Power" in Eq.2 with the right hand side of Eq.4, we get
SINR_th=(Required_Transmit_Power/Pathloss)/(Interference+Noise) Eq. 5
Required_Transmit_Power=SINR_th x (Interference+Noise) x Pathloss Eq. 6
Please advise whether this formulation is correct or not as I am getting wrong results.
In OFDM, First we modulate our message signal and then we take the IFFT of that signal to load the message on subcarrirers. And after that the cyclic prefix is added to combat the frequency selective nature of channel. What should be the length of the cyclic prefix?
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 :).
Hi everyone, hope you are perfect!
today I am going to have a plea of you to lend me a hand if is possible.
as an wireless communication researcher, I come across many phrases that I have no idea about them. one of them is "optical front-hauls" and another one is "grant-free Transmission"!!!
If you can give me an imagination or illustration, what would it be?
Thanks for making time in advance.
#communication #5gtechnology #6G #wirelesscommunications
How can I calculate the bit error rate of orbital angular momentum for wireless communication? I found this paper 'Error probability on the detection of orbital angular momentum detection' but in this paper, they are calculating the probability of the detection of the OAM mode like if the information were carried by the mode. While I am interested in the case where OAM modes are used to create orthogonal channels.
How do we represent zero interference on db scale?
I am using the following formula for calculating the Received_Power_TH (TH stands for threshold). Received_Power_TH is the power of the received signal required for successful decoding. I am using the following formulation.
SINR=Received_Power - Interference - Noise Or
The Recieved_Power that satisfies the SINR_TH (or in other words the minimum Received_Power required for successful decoding) is given as follows
SINR_TH=Received_Power_TH - Interference - Noise Or
Received_Power_TH =SINR_TH + Interference + Noise
However, i get the following results which seem counter intuitive.
Assuming SINR=25, Interference=-50, Noise= -95
Now if we do not have any interference e.g. in a case when there is only one node transmitting, we get the following
This result seems counter intuitive as Received_Power_TH for successful reception in case of no interference should drop below the value we get when we have interference whereas in this case the Received_Power_TH is equal to -120 in case of interference and it increases to -70 when there is no interference.
While going through the Literature I found that the performance analysis of wireless communication System was done by us one of the following three methods:
1. Moment Generating Function-Based performance Analysis
2. PDF Based performance Analysis
3. Characteristic Function-Based performance Analysis
I want to know about ML algorithms that are used to train the data set: e.g. in routing protocols in WSN.
Apart from experiments available for WiFi, IoT, LTE etc., we also want our students to work on experiments on 5G. Does someone have a set of pre-built NetSim experiments which we can quickly adopt for our course? If not, any suggestions on what kind of experiments can be done would be valuable? Thank you.
Is it possible to employ Beamforming for interference mitigation when two smart phones are communicating directly without any relay (such as Access Point, Base Station or some other kind of relay nodes) in between. We assume that many pairs of smart phone pairs are communicating directly and may interfere with each other. Therefore beamforming (if possible) will help reduce interference.
Much appreciated in advance.
I need to know about the appropriate tools for modeling, simulation, and analysis of wireless communication systems other than MATLab.
IRS can create higher beamforming gain with the help of an “intelligent” reflector. But, this brings other practical issues.
How does BS/AP synchronize with the reflector about the amplitude and phase?
where IRS is the intelligent reflective surfaces, BS is the base station and AP is the access point.
In wireless communication channel modeling, capacity is calculated based on computed H matrix and SNR value.
H matrix is calculated through a different models - COST..WINNER..etc.
I am wondering how to calculate SNR at different locations of UE In a cell?
many papers assume a certain SNR before capacity calculation.
How one can calculate SNR in an urban macro environment in presence of scatterers with different BS-UE positions in distance and angle?
I am looking for SNR calculation throughout a cell for MIMO wireless channel using directive antennas.
In 5G, the mixed-numerology is introduced to support diverse QoS requirements. It is also mentioned in the spec that simultaneous transmission and reception with different numerologies in CA is possible.
However, there is few materials mentions how this is achieved. Does a UE requires multiple antennas to transmit with resources of different numerology at the same time? Or it can be done by a single antenna? If the latter is the truth, how does a UE deal with different SINR values generated by resources with different numerologies? (different SINR values lead to different modulation scheme, how can this be done with single antenna?)
I have found one paper that is related to my question:
It seems that a UE can deal with resources with different numerology simultaneously, with different modulation scheme. Yet, this paper does not show how this is achieved by the smartphone.
How fast does the traffic load of WiFi network change? What is the average time that the WiFi traffic load remains constant for different traffic types e.g. internet browsing, video streaming, voice call, e.t.c ?
I am trying to obtain closed-form expressions of outage probability for a user in a given cell. Here I am including inter-cell interference (from other adjacent cells) in the expression of SINR. Now I need to obtain the closed-form expressions of outage probability over a fading channel like Nakagami or Rayleigh. Please suggest any information regarding this. thanking you
I want to know how can we implement nakagami fading in MATLAB and get the small scale fading coefficients for this nakagami distribution in MIMO-OFDM channel. Any MATLAB code would be helpful. Are these coefficients time varying and how to get these coefficients for a certain time interval?
I am try to build a system model where intelligent reflecting surface is used to enhance the receiver's SNR depending on the position of the receiver.
Based on what I read, a signal is scattered at the atom level and constructive/ destructive superposition is used to direct the signal to a certain user. My question is: Can the signal be directed to a user behind the IRS?
We all know about the fast and rapid developments in machine learning algorithms. But the question is that if we want to implement them for low latency (less than 1 ms) applications using wireless communications, is it possible?
I am able to generate Rayleigh coefficients as per the following code (function) in python using H=(1/sqrt(2))*(randn(N)+randn(N)*1i)
def RAYLEIGH(d, etaa, num_symbols):
// Input arguments (Distance, pathloss exponent and samples required (depends on data if fast fading)//
h1 = np.sqrt(c); //(Pathloss is multiplied with Rayleigh coefficient)
h = h1*((np.random.randn(num_symbols)+1j*np.random.randn(num_symbols))/np.sqrt(2));
g = (np.absolute(h))**2; // Magnitude
return h.tolist(), g.tolist(); // Return as a list
How to generate the Rician Coefficients given d (distance), etaa (path loss exponent) on the same lines.
How can I estimate the propagation loss between an unmanned aerial vehicle (UAV) or drone, and user equipment (UE) on the ground? is it safe to assume a line-of-sight scenario? how about the drone's altitude? is there a specific air-to-ground formula I can use?
What are the limitations of non-orthogonal multiple access?
Which difficulties may occur during its practical implementation?
What is the possibility of its consideration beyond 5G?
In the attached figure A and B are transmitting to some destination X and Y (not shown in the figure) using transmit power TxA and TxB respectively. Where node C wants to transmit to node D.
Assuming that the distance between all the nodes is known, I want to find the following.
1. The total received power at node D due to the transmissions from node A and node B
combined i.e. total interference.
2. We assume that SINR threshold for successful decoding is Th. What should be the transmit
power of C i.e. TxC , so that its signal can be successfully decoded at node D in the presence
of interference from node A and B
3. How to calculate SINR and BER at node D for the signal transmitted by node C.
Two very recent papers that illustrate the potential of OWC to support Tb/s communications:
1) A Tb/s Indoor Optical Wireless Access System Using VCSEL Arrays
2) A Tb/s Indoor Optical Wireless Backhaul System Using VCSEL Arrays
I have been through some discussion regarding survey paper writing tips and tricks. However, these are very generic. I want to know how to write a survey paper related to computer science topics (e.g., blockchain,.internet of things, so on). I have some following queries regarding the aforementioned concerns.
- How to design the flow of the survey paper?
- What will be the minimum length of the survey paper?
- How to pick up a reference paper and which criteria should be the first concern while selecting it? What is the minimum number of references that should I pick?
- Is it necessary to propose an idea in the paper? If yes then is it necessary to show a performance evaluation of the proposed scheme?
- While writing a survey paper which things should I focus on or care about?
Please share your experience regarding this.
Thanks for your time and input.
Thanks in advance.
Normally for fair comparison we assume equal transmission power and equal rate. If rate can not be made equal how can be compare two different rate channel codes?
Millimetere wave (mmWave) channel model is widely known in the literature [1, eq. (7)], [2, eq. (1)]. [3, (55)].
What is the difference between mmWave vs. Terahertz Channel Models? In other words, is there any paper providing the channel model for Terahertz bands (including path loss, path gains, AoD/AoA, etc.)?
 A. Koc and T. Le-Ngoc, "Hybrid Millimeter-Wave Massive MIMO Systems with Low CSI Overhead and Few-Bit DACs/ADCs", Accepted in IEEE 92nd Vehicular Technology Conference: VTC2020-Fall , Victoria, BC, Canada, October 2020.
 L. Yan, C. Han and J. Yuan, "A Dynamic Array-of-Subarrays Architecture and Hybrid Precoding Algorithms for Terahertz Wireless Communications," in IEEE Journal on Selected Areas in Communications, vol. 38, no. 9, pp. 2041-2056, Sept. 2020
 A. Morsali, A. Haghighat and B. Champagne, "Generalized Framework for Hybrid Analog/Digital Signal Processing in Massive and Ultra-Massive-MIMO Systems," in IEEE Access, vol. 8, pp. 100262-100279, 2020
what is the scope of applying ML and DL in wireless communication? How it is efficient in terms of performance, the complexity of computation, the power efficiency of the networks than the existing techniques?
Considering the multiple unique properties of the non-orthogonal multiple access (NOMA) scheme such as high spectral efﬁciency, low latency, improved coverage, massive connectivity, fairness, etc. What do you think will be the impact of NOMA on Future Communication Technologies? Will it be accepted in the next upcoming release of 3GPP?
Also read our latest work on the design of a novel NOMA scheme which can provide enhanced security in Future Communication Systems : https://assets.pubpub.org/o4wsnl6c/61606955002758.pdf
I want to make a Microstrip Patch Antenna for Multiband operation of the shape that can be seen in the image attached. Can anyone suggest the perimeters/specifications and material that can be for Ground, Substrate, Patch, and Feeding so that the antenna can be used for multiband operation.
I am using CST Microwave Studio for simulating the design.
Other suggestions are also happily welcomed.
Intelligent Refelecting Surface (or Intelligent Reconfigurable Surface), IRS, consists of a large number of passive elements that are able to reflect the incident signal passively. The size of each element may depend on the wavelength of the signal to be reflected. My question here is how much should be the size of the IRS element in order to successufly reflect a signal with a wavelength \lambda.
I am trying to begin a new field of research with experimental works in the areas of wireless communications. What are the recent hot and interesting topics in this area?
I am currently working on a project that is based on optimizing cluster head (CH) selection for energy-efficient wireless sensor networks (WSNs) using evolutionary search techniques. For the purpose of comparison with classical baseline algorithms in this subject, I also want to compare my results with LEACH and LEACH-C. I have successfully implemented LEACH algorithm. However, I am not sure how to implement the LEACH-C algorithm.
This is the original paper that LEACH-C is proposed: Heinzelman, W. B., Chandrakasan, A. P., & Balakrishnan, H. (2002). An application-specific protocol architecture for wireless microsensor networks. IEEE Transactions on wireless communications, 1(4), 660-670.
In this paper, it was mentioned that the Simulated Annealing (SA) algorithm was used to determine clusters. It was also stated that SA selects among nodes having energy above the average energy. However, I cannot see any detail about how the neighborhood structures and the algorithm parameters were determined. Besides, I saw many other papers using LEACH-C in their experimental work, however, I could not find any guidelines for how they were implemented as well.
My question is that is there a standard to implement a LEACH-C algorithm? Thank you for any help you can provide.
If so, we're hiring! - come and join our team to help develop the next generation of intelligent, wearable drug delivery devices. Research opportunities now available in microsensor integration, transdermal delivery and microfludics, and system electronics/communications. Further details available from Dr Conor O'Mahony - feel free to discuss with us!
I am looking for any source of information that describes how often an underwater wireless communication network is utilised on a certain day. For example, if you consider an underwater wireless sensor network to monitor water temperature, pH, salinity etc., how frequently do the sensors upload the data to the sink and the surface base station? I am trying to create a data communication traffic distribution pattern for underwater networks over a period of 24 hours.
Any journal articles, conference papers, or even legitimate websites that talk about this topic will be helpful.
I have this topic :
- A review of techniques for improving the quality of the transmission channel in wireless communications at visible light frequencies, VLC.
- And wanted to make a chapter comparing VLC communication channel vs RF (Wi-Fi )channel but i couldnt find any helpful info could anyone help
Let's share our opinion about recent attractive topics on communication systems and the potential future directions.
Dear community, Has anyone ever use the estimator for the parameters for a Two wave diffuse power (TWDP) distribution of the paper Joint Parameter Estimation for the Two-Wave with Diffuse Power Fading Model?
I'm currently creating a synthetic data from a TWDP estimation in order to test the estimator, however, the results from this procedure show a great dispersion from the real value. I'm wondering if the estimator from the paper has an additional constraint to be used.
I added some slides with the results I have so far and the codes used for the simulation.
Any help will be appreciated