Microcapacity: Unbinding Wireless Capacity Through Trading Exchanges

bandwidth exchangeMicrogeneration allows one to generate electricity for own use, typically using renewable resources such as wind or solar energy. Excess energy can be sold to the power company. The arrangement helps in evening out the variability in energy consumption. It reduces the peak load requirements for the main grid while energy generated during non-peak hours can be diverted to where it is most needed. There is no reason why wireless cannot work in a similar way. I call this “mcirocapacity”: individuals, businesses and communities can generate their own wireless capacity and sell the excess capacity to the wireless carriers. The concept is not novel and elements of it have already been developed. What is lacking is the impetus to put it into practice. Simply put, the time is yet to be right. Read more of this post


It’s All Too Good To Keep Talking About The Capacity Problem

TalkingThe capacity problem is at the heart of everything said about the wireless industry. Everybody loves to talk about this problem. To start, it is easy to give examples of exploding data consumption forecasts or quote numbers on mobile applications such as Facebook, Twitter , Instagram and many others. I suspect that the capacity problem makes for a convenient argument for the different players in the mobile value chain to get what they want: it is a nice problem for everyone to have. For service provider side, it is the key to more frequency spectrum which further enhances increases their position in the market and consequently their value.  For solution vendors it gives them the opportunity to raise money, fund development projects and present forecasts for high revenues. For regulators it gives them the opportunity to sell spectrum and raise money. So everyone can benefit from the capacity problem, or so it seems. Read more of this post

Twisted Waves: A New Dimension in Wireless Communication – Part 1.

In some of my recent postings, I wrote about the limits of the physical layer and what that means for the future of wireless communications systems. Here, I like to mention new research that has promise of increasing the capacity of the physical layer. This new work is based on exploiting a property of electromagnetic waves heavily investigated in the optical range of the electromagnetic spectrum but yet little explored in the radio frequency range. Read more of this post

Mobile Data Traffic Forecasts: A Comparative View

When it comes to planning radio access networks, mobile traffic data forecast become very important: Operators need to properly size their networks, and the ecosystem needs to predict potential bottlenecks and come up with creative solutions. The granddaddy of all traffic forecast, Cisco’s VNI was used to argue the need for more spectrum. Hence, a lot ride on these forecasts and anyone who has been to industry events notes how often these forecasts are used to make a point of the impending “capacity crunch.” Ericsson recently released a white paper on their data forecast, so I wanted to compare it with other data available on the market. Read more of this post

Dichotomy of Access and Backhaul Capacity Planning

I have listened to a few webinars recently by some of the major microwave backhaul vendors, all with the message that microwave has enough capacity to support required LTE data rates. It is evident that network operators have been pushing these vendors for higher data rates. Microwave after all cannot compete with fiber on capacity and MNOs (Mobile Network Operator) have been laying lots of fiber in anticipation of LTE network roll out. Read more of this post

LTE Data Rate: What Can We Expect?

I have already address peak LTE data rates and showed how they’re calculated. But what type of data rates would a user actually experience? This is what really matters from a quality of experience perspective.

A number of factors impact the ultimate capacity offered by a cell site. Two critical factors are interference and network loading. These factors are inter-related: higher network loading, which is a measure of the number of active subscribers, results in greater interference. Read more of this post