Massive MIMO is an antenna technology that is considered the most promising for future superfast 5G networks, although researchers have until now believed that there is an upper limit for how much data can be transferred. LiU researcher Emil Björnson has shown that there is no such limit.
The massive MIMO technology aroused the interest of 5G researchers at an early stage. However, during the past five to ten years the research community has agreed that there is an upper limit to how much data can be transferred wirelessly per second, given a certain bandwidth and within a certain area. The limiting factor has been a type of disturbance that arises when measuring how the wireless signals travel, known by researchers as “pilot contamination”.
“This conclusion is the result of us using a model that was far too focused on reseach tractability and a method that was too simple,” says Emil Björnson.
By deploying more antennas and processing the signals that are transmitted and received from them in the right way, we can create a system in which there is no upper limit for how much data can be transferred.
He has presented the evidence for this in collaboration with colleagues in France and Italy in an article that has been published both in the open service Arxiv and in the IEEE digital service Xplore. The simulation code is also freely available at Github for anyone who doubts the results and wants to validate them.
MIMO is an acronym for “Multiple Input, Multiple Output” and the technology involves connecting hundreds of small antennas, each with a power of around 10 mW, either in something that can resemble a large computer monitor or distributed across the façade of a building.
The three researchers discovered the solution to the “pilot contamination problem” while working with the book “Massive MIMO Networks: Spectral, Energy and Hardware Efficiency.”All the antennas send a few tens of signals with carefully determined delays. The delays are chosen so that the copies of a signal arrive at the intended receivers at exactly the same instant, but at slightly different times at all other receivers. This gives a strong signal at the intended receiver and only a slight disturbance at all the others. Pilot contamination arises when the delays are to be estimated using signals known as “pilots”.
One hundred antennas each of 10 mW gives a power of 1 W, which is distributed among the users. This is considerably less than the 40 W that current antennas use. The low power is enough, since each signal is given in a specified direction. Massive MIMO thus provides a combination of low output power, high energy efficiency and superior capacity, since many receivers can receive signals at the same time. What the new calculations and simulations have shown is that the capacity is infinite.
“The consequence is that we can continue to deploy increasing numbers of antennas, as people consume ever increasing amounts of wireless data, and in this way satisfy the demand,” says Emil Björnson.
The Latest on: Massive MIMO
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The Latest on: Massive MIMO
- Global Massive MIMO Market 2020 – Nokia, Ericsson, Huawei, Verizon Communications, ZTEon April 5, 2020 at 9:07 pm
The report involves insightful data on the main sectors of the Global Massive MIMO Market. The report has segmented market, by its types and applications. Each segment has analyzed completely on the ...
- Vodafone Deploys 1,500 Massive MIMO In Mumbaion April 4, 2020 at 7:56 am
After deploying massive MIMO in Delhi, Vodafone-Idea today said that it will enhance the 4G networks and data capacity in Mumbai. The telco said that it will deploy an additional 1,500 massive MIMO in ...
- Rohde & Schwarz Presents New Test Solutions for 5G Base Stationson April 3, 2020 at 9:15 am
Rohde & Schwarz is continuously extending its portfolio of test solutions for 5G base stations and the associated massive MIMO antenna arrays and amplifiers. Highlights include an OTA test solution ...
- Massive MIMO Market Is Expected to Witness the Highest Growth by 2025 Major Players Nokia, Ericsson, Huawei, Verizon Communicationson March 31, 2020 at 1:27 pm
The Massive MIMO market was valued at USD 1.11 Billion in 2017 and is expected to reach 20.35 Billion by 2025, at a CAGR of 41.2% during the forecast period. Ontario, CA -- (SBWIRE) -- 03/31/2020 -- ...
- Vodafone-Idea Deploys 2,000 Massive MIMO In Delhi; Offering Extra Talk Time For Feature Phoneson March 31, 2020 at 4:47 am
After offering double data with its prepaid plans, Vodafone-Idea has announced that it has deployed 2,000 massive MIMO in Delhi. The company said that massive MIMO recorded a 35 percent increase ...
- Nokia claims 5G capacity benchmark, enters first phase of 5G project at Port of Zeebruggeon March 27, 2020 at 3:41 am
The test, which utilised Sprint’s 2.5GHz spectrum as well as commercial devices such as hotspots, used massive MIMO to achieve 16 layers of MU-MIMO to deliver up to four times the total downlink cell ...
- Nokia delivers record 5G capacity gains via software upgradeon March 25, 2020 at 4:52 pm
The test, which utilized Sprint’s 2.5 GHz spectrum as well as commercial devices such as hotspots, leveraged Massive MIMO to achieve 16 layers of MU-MIMO to deliver up to four times the total downlink ...
- Nokia notches 4X capacity boost in Sprint teston March 24, 2020 at 1:42 pm
and Multi-User-MIMO (MU-MIMO) using Sprint’s mid-band 5G spectrum and Nokia’s AirScale solution to deliver 3 Gbps total downlink cell throughput, in what Nokia called a first. It showcased Nokia’s ...
- Nokia Oyj: Nokia delivers record 5G capacity gains via software upgradeon March 24, 2020 at 1:05 am
The test, which utilized Sprint's 2.5 GHz spectrum as well as commercial devices such as hotspots, leveraged Massive MIMO to achieve 16 layers of MU-MIMO to deliver up to four times the total downlink ...
- Nokia delivers record 5G capacity gains via software upgradeon March 24, 2020 at 1:04 am
Espoo, Finland – Nokia today announced that it hit a milestone in the delivery of enhanced 5G capacity via a software upgrade on Nokia's commercial AirScale solution. The lab test delivered ...
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