Showing posts with label Latin America. Show all posts
Showing posts with label Latin America. Show all posts

Tuesday, 6 November 2018

Telefonica, Mayutel, Facebook & Parallel Wireless: Connecting the Unconnected in Peru (#InternetParaTodos)


Back in summer I wrote about how Telefonica and Parallel Wireless(*) are on a mission to connect 100 Million Unconnected and then followed it by a blog post with information from Patrick Lopez, VP Networks Innovation @ Telefonica about how Telefonica is using Big Data, Machine Learning (ML) and Artificial Intelligence (AI) to Connect the Unconnected.

In the Facebook TIP Summit last month, Roger Greene, Rural Access Lead, Connectivity Ecosystem Programs, Facebook talked to Juan Campillo, Internet Para Todos Lead, Telef├│nica & Omar Tupayachi, Founder & CEO, Mayutel about how they are connecting the unconnected. The discussion embedded below, starts with a very nice video about how connectivity is making a difference in Peru. In fact that video inspired me to do this post ­čśŐ.

Mayutel was described as Peru's first rural operator. It was founded in 2015 and works in over 150 areas. It has 25 employees.

During the discussion some interesting points were discussed like planning, the reason its important is that if you dont do proper planning and analytics, you can use small cells instead of macros and vice versa. Also, some solutions are worth trying in the field as its only when deployed, it can be tested in real-world scenarios.

Connectivity is very important for the rural people in Peru, like every other country. Approximately 4 million Peruvians have only got access to 2G technology. It would help if they have access to have 3G & 4G too. It not only helps connect the people on the move to their loved ones back home, it also helps small businesses who reply on messaging group communications to solve their issues and ask for help & advice.
Due to the Open RAN approach, the cost of deployment has reduced by 50-70%. Mayutel mentioned that they were able to deploy a site at 1/10th the cost it would normally take. This was all thanks to the open approach where their engineers can learn how to deploy the complete solution. It was vital to use local help not only in terms of knowledge but also in terms of manpower.

There were some good lessons and learning but in the end for this to scale more operators need to become part of the Telecom Infra Project and make this successfully happen.




Here is another video from Parallel Wireless on their deployments in Peru.




All videos from TIP Summit 2018 are available here.

Related Posts:



*Full Disclosure: I work for Parallel Wireless as a Senior Director in Strategic Marketing. This blog is maintained in my personal capacity and expresses my own views, not the views of my employer or anyone else. Anyone who knows me well would know this.

Monday, 13 August 2018

Telefonica: Big Data, Machine Learning (ML) and Artificial Intelligence (AI) to Connect the Unconnected


Earlier, I wrote a detailed post on how Telefonica was on a mission to connect 100 Million Unconnected with their 'Internet para todos' initiative. This video below is a good advert of what Telefinica is trying to achieve in Latin America


I recently came across a LinkedIn post on how Telef├│nica uses AI / ML to connect the unconnected by Patrick Lopez, VP Networks Innovation @ Telefonica. It was no brainer that this needs to be shared.



In his post, Patrick mentions the following:

To deliver internet in these environments in a sustainable manner, it is necessary to increase efficiency through systematic cost reduction, investment optimization and targeted deployments.

Systematic optimization necessitates continuous measurement of the financial, operational, technological and organizational data sets.

1. Finding the unconnected


The first challenge the team had to tackle was to understand how many unconnected there are and where. The data set was scarce and incomplete, census was old and population had much mobility. In this case, the team used high definition satellite imagery at the scale of the country and used neural network models, coupled with census data as training. Implementing visual machine learning algorithms, the model literally counted each house and each settlement at the scale of the country. The model was then enriched with crossed reference coverage data from regulatory source, as well as Telefonica proprietary data set consisting of geolocalized data sessions and deployment maps. The result is a model with a visual representation, providing a map of the population dispersion, with superimposed coverage polygons, allowing to count and localize the unconnected populations with good accuracy (95% of the population with less than 3% false positive and less than 240 meters deviation in the location of antennas).


2. Optimizing transport



Transport networks are the most expensive part of deploying connectivity to remote areas. Optimizing transport route has a huge impact on the sustainability of a network. This is why the team selected this task as the next challenge to tackle.

The team started with adding road and infrastructure data to the model form public sources, and used graph generation to cluster population settlements. Graph analysis (shortest path, Steiner tree) yielded population density-optimized transport routes.


3. AI to optimize network operations


To connect very remote zones, optimizing operations and minimizing maintenance and upgrade is key to a sustainable operational model. This line of work is probably the most ambitious for the team. When it can take 3 hours by plane and 4 days by boat to reach some locations, being able to make sure you can detect, or better, predict if / when you need to perform maintenance on your infrastructure. Equally important is how your devise your routes so that you are as efficient as possible. In this case, the team built a neural network trained with historical failure analysis and fed with network metrics to provide a model capable of supervising the network health in an automated manner, with prediction of possible failure and optimized maintenance route.

I think that the type of data driven approach to complex problem solving demonstrated in this project is the key to network operators' sustainability in the future. It is not only a rural problem, it is necessary to increase efficiency and optimize deployment and operations to keep decreasing the costs.


Finally, its worth mentioning again that I am helping CW (Cambridge Wireless) organise their annual CW TEC conference on the topic 'The inevitable automation of Next Generation Networks'. There are some good speakers and we will have similar topics covered from different angles, using some other interesting approaches. The fees are very reasonable so please join if you can.

Related posts:

Thursday, 13 May 2010

3GPP and 3G Americas workshop in Latam LTE Summit


3GPP and 3G Americas held a LTE Standards workshop in advance of this years’ LTE Latin America Conference, held in Rio de Janeiro 26-28 April.

Speakers from Operators and Manufacturers’ looked at the huge potential for HSPA and LTE networks and discussed Standards and Regulatory issues that are affecting LTE Roadmaps for the Latin America Region.

Topics such as equipment availability and spectrum scarcity were high on the agenda, along with discussions on systems architecture evolution and backhaul issues.

The presentations from the workshop are available on-line HERE.

Individual presentations could be downloaded from the links below: