Stock Market Dynamics vs. Wireless Communication Dynamics



I thought to share an interesting story from couple of years ago.

Back in 2010 , I had a neighbor who bought huge number of stocks when BP oil spill incident happened.

Our mutual friends started making fun of his move. They said all kinds of things to him. Things like

“You are going to be doomed”.
“You are falling for a trap.”
“You are crazy.”
“You are taking a big risk, blah blah”

All this free advice didn’t affect him in one way or the other. He just smiled and ignored the so called valuable advice of his peers. ( Now this is what I call confidence. On a regular day, how many times, people around you are giving you their two cents of valuable advice all the time ? )

With calm composed attitude he said, “Great investing is a marathon not a sprint” .
Once the market improved he made $40K alone from those stock purchase moves.
Stock market changes dynamically. Experienced investors know the ups and down, the market may go through and how long its impact may persist. They do not care about minutiae of losing little money. They focus on the big wins of investing to get the results they want.


Talking about dynamics of investing. Now lets switch gears and talk about dynamics of a wireless communication network. When it comes to optimizing a network. Experienced Optimization engineers are no different. They know, what are the minor variations impacting the network. How long their impact will be, and what parameters needs to be tweaked to mitigate a negative impact.  These impact variations can range from very short term, short term , and medium to long term variations.

Let’s discuss about the variations of these wireless communication system (WCS).



Looking at the canvas above. You can see 4 major variation types.

Very short term: Noise , fading and fast fading etc are prime candidates for this category. This kind of dynamics usually last from microseconds to seconds.

Short term: Temporary shadowing, pop up hot spots , slower user mobility fall under this category . This dynamic usually last for minutes to hours.

Medium term: These include Natural variations in user location over day and night, permanent hot spots and shadowing. These dynamics can usually last from hours to days.

Long term: Natural seasonal variations, festivals, socioeconomic / demographic changes, and disasters fall under this category. It can also result due to change in operators objectives and user service expectations. This kind of dynamic usually last from days to months.

Now you know the dynamics of WCS. If the question going through your head is , how to mitigate these variations.?? Well, there are various ways to go about it. Depending upon the equipment and vendor manufacturer, you can search for various parameters, counters etc. they have reserved in that case for a specific purpose.


For very short term variation. Adaptive coding and modulation scheme, scheduling and conventional radio resource management are some of the examples which can easily take care of it.

For Short term variation: Electronic tilt adaptation is one way to go mitigate this variation

For Medium term variation: Load balancing with coverage adaptation is another way to go for it to avoid this dynamic.

For Long term variation: This issue is rare to occur. However, when it happens , one way to mitigate this issue is going for adaptive deployment.

In everyday practical scenarios, these WCS variations usually vary from very short term to medium term on a regular basis. It doesn’t mean that dynamic variations never happen from the perspective of long term . If a long term variation in WCS happens, it calls for a more bigger solution such as re-evaluating deployment and re-designing the network or adding , excluding certain nodes etc. Does optimization ends here ?? Not really, overall, the process of optimization and performance of a network continues throughout the lifetime of a network.

Having said all that, now it’s your turn to share, what variations have you seen happening in your network lately.

And what are you doing to mitigate these variations ? Enter your response in the comments below.


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