5G health issues – the discussions

5G health issues – the discussions

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07.12.2020

I want to thank all readers for their interest in the post and the discussions we had during the past months about 5G health issues. There was a high number of supporting comments and requests for clarification, but also quite a few critical comments to both of my published posts (What’s wrong with the “studies” and 5G health issues explained).

We thought it would be worthwhile to summarize a few interesting discussion topics in a new post since future readers will probably not try to dig through the whole discussion thread. To keep this amendment at a manageable length, I have taken the freedom to shorten, group, and summarize the topics, rather than repeat everything. 

Frequency and Transmitted Power in Mobile Networks

My first group deals with radiated power, frequencies, and exposure times. Let me quote a few of the statements: 

These frequencies have never been used in consumer applications! 

Comparing any radio transmitter to 60 W light bulb proves that the writer may lack knowledge about light and radio waves … 

Most of the 50 W lightbulb will go to heat and not light. 

What is the need for so many dipoles in one antenna? 

Plus, on a video blog, someone used the figures I provided as a basis to dream up a real horror scenario (as he puts it). I will deal with this further below. 

Mobile frequencies

It seems to me that I have to repeat a few key facts: Concerning the interaction of electromagnetic radiation with matter, in particular with living tissues, there are only two relevant parameters: frequency and power.

All electromagnetic radiation is a stream of massless particles, the photons that carry the energy. The total energy is the sum of the energies of the transmitted photons. It requires a single photon to have enough energy to break or alter a chemical bond, which is what biologists require to see free radicals and other unpleasant chemistry in our bodies. If the photon’s energy is not high enough, all that ever happens is that the whole molecule is agitated – an effect that we call heating in daily life.

These are the thermal effects that are controlled by limits on transmitted power. You feel that as heat on your skin in sunlight. Where sunlight comes with several 100 Watts of power per square meter. The tower radiation is limited to 20 Watts per antenna, and a total limit per location, and I have shown you the Milliwatt and Microwatt levels that finally reach people on the street. Plus the photons of microwave radiation are about 10,000 times weaker than those of visible light. It needs UV light, X-Ray, and worse to create the claimed medical effects.  

The bulb example

Coming to the light bulb example, which created a heated discussion. Basically, with a conventional light bulb, all-electric power fed to the wire is turned into electromagnetic radiation. Most of it is actually infrared (heat), and only a little bit – like 5% – is visible light. Still, both heat and light have more powerful photons than microwaves. So, in fact, a lightbulb is a much more dangerous object than a mobile phone (20 – 60 Watts of IR and light vs. 200 Milliwatt of microwave).  

The topic of “lack of experience” with what is called “5G frequencies” is next. The 5G standards define a lot of frequency bands. Not all of the defined frequency bands will be used – at least not in near-time. Manufacturers and phone makers will not be able to design and produce radio equipment for all frequency bands. As reported by the industry association GSA, at present, out of 1560 licensed bands worldwide (FDD mode), the most popular ones are: 

Band # ~ FrequencyTotal networks Frequency 
Previously used  
31,800 MHz 420 GSM (2G) 
72,600 MHz 240 LTE (4G) 
20800 MHz 225TV 
12,000 MHz 140 3G (2G)
8900 MHz 105 GSM
Source 

These frequency ranges cover 85% of the total licensed spectrum worldwide. In terms of the size of radio networks (and thus the number of base stations and antennas), the most popular is band 78, with 3,500 MHz, previously allocated to a technology called WiMax, with a considerable deployment worldwide. T-Mobile US is even rolling out a 600 MHz 5G network.  It must be quite disappointing to fear-mongers and conspiracy believers to see that these are all well established and previously used frequencies. Billions of WiFi-Routers worldwide use the 5 GHz ISM band, and they do it for more than 10 years.  

The much-discussed higher frequency bands beyond 20 GHz are not widely used today, except in the US for some congested inner-city areas. But they have already been used for LMDS (n257) and satellite TV communication (bands n258 – n261) before. There is nothing really new here, too. TV and other communication satellites transmit at 200 – 300 Watt power level. The signals are transmitted through large parabolic dishes and arrive on the earth surface from 35,000 km above at a level of -100 dBm to -110 dBm. That is still within the range of normal cell phone tower radiation. We do have long term experience with this radiation.  

A general “common sense” argument may be in order here: all current radio technologies use very similar radio chipset designs. There is no magic design secret. And all commercial operators of radio technology want to use as little electrical energy as possible. That’s because the electricity bill is high up on their monthly bill. Nobody is going to use extra power if it is not strictly required. If a mobile phone can detect and decode signals received at -80 dBm or less, then the transmission power is adjusted so that the phone receives it.  

The “antenna gain” issue I have already discussed in an amendment to the first post. Thus I think it will be enough to repeat a few key points: 

  1. Antennas are not active amplifiers. They do not add power to the signal. 
  2. Directional antennas (such as mobile communication) focus the waves in the main direction, perpendicular to the antenna surface. They work a bit like a camera lens. In all other directions, the signal is reduced. The so-called antenna gain (which should rather be called directional gain) is the main direction’s amplification factor. When you move sideways, the signal starts to drop. At 30 degrees, it is only half, and at 60 degrees, it is practically zero.  
  3. Typical mobile phone antennas have got a directional gain of 16 dB. Off-the-shelf satellite dishes have got a higher gain of 25 dB. But their covered sector is only a few degrees wide, which makes them unusable for mobile networks. (Have you ever tried to adjust a satellite dish to receive the signal from “your” satellite?) A high antenna gain for a mobile network would require the transmitted beam to swipe the area, like a lighthouse signal. Something like that is being introduced with the Massive MIMO technology.  
  4. When considering environmental and health impact, the antenna gain does not play a role, since we need to look at average values around the tower. 
  5. And even when someone sits straight in front of the antenna, they will only get less than 1 Milliwatt of radiation power. That’s more than 200 times less than the handheld phone’s signal strength or from your home WiFi access point.  

How many dipoles in one antenna?

Finally, let us deal with the related question concerning the number of dipoles in one antenna.  

number of dipoles in one antenna

An array of dipoles generates a directional effect. The dipoles transmit the input signal to the antenna in full sync. If you stand perpendicular to the antenna plane, you get all the signals from the dipoles in synch, and the waves are simply adding up. When you look at the antenna from an angle, the distance between you (your phone) and each dipole varies a little. That makes a small shift of the waves from one dipole relative to each other (see figure below). 

Received Power in a Mobile Network (Propagation and Path Loss) 

I’ll take your word about the 4th power, though I was taught the “inverse square law,” i.e., second power. 

Can you show us how to derive your formula for path loss? It is noted that the Hata model is not suitable for micro-cell planning where the antenna is below roof height, and its maximum carrier frequency is 1500MHz. It is also not valid for 1800 MHz and 1900 MHz systems. 

Why is the frequency not visible in the formula? How would the formula look for higher frequencies? 

Are we talking about power or power per square meter (power density) here? 

The 4th power

Let me start here with a general disclaimer. The distance-dependent formula for the path-loss I used in my post is from a specific model they use at Ericsson [Ericsson9999] for 1 GHz of frequency. There are many alternative models out there, and when people from within the business talk about the Okumura-Hata model, they no longer refer to the original data and model. Things have been developed a lot over the past 50 years, as you can assume, and there are models available for each and every frequency that may be in use in the future.  

I really don’t want to sit down here and explain the parameters (I think you believe me that I could). Let me get two fundamental facts out:

  1. The “4th power” dependency on distance comes already in when you look at the simplest possible real-world model: following two rays from the same antenna to a receiver; one direct and the other reflected on the ground or a wall. The reflected wave travels a little longer distance so that they are delayed at the receiver. When you work out the sine/cosine algebra, 4th power is exactly what you get.
  2. In the high-frequency band above 20 GHz, there is basically no reflection on the ground or at walls – surfaces would need to be smooth down to fractions of an mm to reflect enough radiation for the calculation above. In fact, we are left with inverse square power for these frequencies. The diagram below shows a comparison between 1 GHz and the high-frequency range (28 and 60 GHz under inverse square law) between 10 m and 10 km from the source.
  3. This picture’s significance is: at a distance of 10 m from the antenna, with 28 GHz, you need to transmit 37 dB more power (which is about 5,000 times higher) compared to 1 GHz. In a distance of 100 m, the ratio is still 80. For distances above 1 km, this picture does not tell you anything, since the high-frequency model’s validity is limited to short range.  
distance and frequency based attenuation

Attenuation models

The main attenuation models are:

  1. Irregular Terrain Model (ITM, “Longley-Rice”) used by FCC and applicable from 20 MHz to frequencies above 20 GHz 
  1. COST231-Hata European extension to Hata model valid up to 2 GHz 
  1. ITU-R P.529 (700 MHz to 3.5 GHz) – covers all of 4G and most of 5G frequencies 
  1. Ericsson 9999 (150 MHz – 3.5 GHz) 
  1. SUI, Stanford Interim Model (1.9 GHz – 11 GHz, originally developed for WiMax communication) 
charts generated in cloudrf

You see: the situation is quite complex. These models have made certain assumptions about the ground, heights, etc. and adjustment data. Rather than developing the theory here, I would like to give you an impression of some of these models and how they work, depending on frequency and distance. The charts are taken from the website CloudRF.com, where you can find a lot more if needed. Two observations may be in order:

  1. Where applicable, the Ericsson9999 model that I have used gives a rather low attenuation (which means stronger fields). When you compare LTE frequencies and the two 5G frequency charts, you see hardly a difference overall.
  2. Final remark: This is all for outdoor, including my first formula in the blogpost. Modern humans spend most of their day indoors; on average, you will have to add 15 Decibel of attenuation to receive an indoor figure. That’s a field energy drop to a value of 1/30 of the corresponding outdoor value. My advice for using these pictures: do not try to read any explicit and detailed value from these charts and try to apply it in a real situation. You need to understand the side-conditions and correction factors.

People asked to compare the mobile network values with satellite radiation. Communication satellites and TV satellites transmit in the frequency range between 6 GHz and 20 GHz (there are higher frequencies, too). This reserved range is why 5G needs to go up to 28 GHz for high band transmission. Very roughly, the satellite data are: 

  • 200 – 300 Watt of power (which is 53 dBm – 55 dBm) 
  • Transmission antenna gain of 25 – 40 dB (large parabolic dishes) 
  • Path loss (from 35,000 km) about 200 dB. Note that medium (MEO) or low (LEO) earth orbiting systems like GPS have got a much lower path loss (150 dB to 170 dB).  

Which gives you about -120 dBm of received power for geostationary orbits, and -80ish for MEO and LEO orbits. Which is well within the ballpark of mobile network field power.

Last question to be discussed in this section: Power density is usually stated in (Watt/square meter); my figures were confusing a few readers. But putting antenna gain in produces “real” power values. And when it comes to estimating effects on the human body, the effective aperture of a human is way lower than 1 m2. Summing this up, the radiation received by a human from mobile towers during the day is about 1% of the already low microwatts that the Hata-model delivers.  

Impact on Humans 

Several topics have been brought up in the comments that I did not address in the original blog. I cannot discuss them all here, so I picked a few and summed them up. The topics: 

5G is causing Corona or at least strongly related to the spread of the disease 

The real long-term effects are a non-stop chronic radiation of 1 V/m everywhere from mobile towers.  

A long list of respected scientists issue warnings and call for a moratorium and further in-depth studies of medical risks associated with 5G.   

 You are not an expert, and you are referencing to a small group of controversial ICNIRP/WHO experts. 

The CoVid-19 topic was obviously brought up after I wrote the original post. The allegations are widespread:

  • CoVid-19 is not a real virus; it is used as a cover-up of 5G damages (which, according to some conspiracies, are planned measures). 
  • 5G was tried in Wuhan (Hubei) and its damaging biological effects weakened or changed the immune system of some animals to let the virus mutate.  

I am not an expert in this area, and I never claimed to be one. As a professional scientist, I know how to tell bad science from good science.  My understanding is that all leading virologists worldwide have a unanimous stand on this: The SARS-CoV-2 virus is a member of the well-known virus family of Coronaviridae (Nidovirales). It has its natural reservoir in bats. It has one of the largest genomes of any known virus, making it completely unreasonable to speculate about a lab creation. Closely related viruses like SARS-CoV-1 and MERS-CoV have made the transition to humans before – and without the presence of 5G and actually without any widespread mobile technology in the areas where this happened.  

One of the comments brought up the famous memorandum and asked for my opinion. I really don’t want to go again into all the things mentioned there; much of it has been discussed in part 2.  I know most signatories; these have been mostly the same names for more than 20 years. And it is not what it tries to make appear: this is not the memorandum of “science”; there is a colorful list of activists, journalists, family doctors, etc. Nobody of “weight” in the scientific community.  

The book of Arthur Firstenberg, “Microwaving the Planet,” was mentioned and recommended in a comment. This book is a conspiracy theory at its best if you ask me. And if you look at Firstenberg’s vita, you will find that he dropped out of medical school due to illness, which he then attributed to electromagnetic hypersensitivity brought by numerous x-rays. This story looks very familiar and is a typical source of EMF claims: some people tend to project their problems on external causes. You’ve got a headache; it must be the cell tower nearby.

For the claimed long-term effects of mobile network radiation, please check the following chart. It shows by example that the claimed medical consequences of mobile phone radiation really do not exist. This chart compares the brain cancer incidents and mobile phones’ growth in the US from 1977 to 2006. Brain cancer is the most frequently claimed disease in connection with mobile communication. Comparable charts exist for basically every claimed damage that mobile has been accused of causing in humans. There is not a tiny hint at correlation, let alone causation.

((A) NUMBER OF WIRELESS SUBSCRIBERS IN THE UNITED STATES, 1984–2006. (B) AGE-ADJUSTED INCIDENCE OF BRAIN CANCER IN THE UNITED STATES (2000 POPULATION STANDARD), SEER 9, 1984–2006. SOURCE: WWW.NCBI.NLM.NIH.GOV/PMC/ARTICLES/PMC3098028/

Concerning the expertise issue brought up in the comments: I rely on published, peer-reviewed medical research when it comes to medical effects. And I’m afraid I have to disagree with the claim that I only refer to a “small controversial group of WHO experts.” The WHO is certainly not a small group of conspiring scientists. The European Union’s Scientific Committee on Emerging and Newly Identified Health Risks (SCEHINR) had reached the same conclusion. Please see their obvious final verdict.  

The overwhelming majority (and I am talking 99% here) of medical experts do not see the slightest problem. There is just this tiny, noisy group. I am still waiting to see a single study out of that circle that has made it through a leading scientific medical journal’s expert review cycle. Show me one, and we are in serious discussions. Those who say that this is part of the suppression mechanism applied by some corrupted “science elite”: the vast majority of such papers are already rejected for stupid simple quality reasons. See the snapshot from Elsevier’s journal Toxicology, with the rejection of a study claiming DNA damage based on microwave exposition.   

snapshot of a rejected paper

Author

Kurt Behnke

Kurt Behnke received his PhD in Mathematics from University of Hamburg (Germany) in 1981, and his second degree (Habilitation) in 1986. He published more than 20 original research papers, joined the Max Planck Institute of Mathematics in Bonn as a guest researcher, was a Visiting Fellow at Warwick University, and was awarded a Heisenberg Research Grant from German Research Council in 1987. In 1991 he made a career shift to telecommunications, where he worked for Philips Communications on OSI system management applications for fiber transmission systems (SDH). In 1993 he joined the California based startup Raynet, and helped creating the first optical fiber access system. From 1997 on he worked for Ericsson in various national and international assignments. These included a position as Director of Customer Operations for T-Mobile International, and one as Head of Managed Services North Africa and Middle East. He went on old age retirement in 2017, where he keeps himself busy by starting to lecture part time on data communications and mobile networks at a local university, and he has occasional assignments for consultancy in the areas of LTE, 5G and machine-type-communications.

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