IEEE COMSOC VIRTUAL MEETING 061820–ECONOMICS IN WIRELESS USING GAME THEORY
| January 5, 2021 | Posted by COMauthor under COMSOC, General |
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Review of IEEE Virtual COMSOC Presentation held June, 18, 2020 titled “Leveraging Economics In Wireless Multimedia Communications: From Game Theory to Machine Learning”
Our presenter was Wei Wang, Ph.D. Associate Professor and Graduate Advisor, San Diego State University
This presentation addressed two important areas that will have major effects on the current 4G /5G and future wireless communication activities. What does the user want with the quantity and quality of programming that he / she could receive on their mobile device? Our speaker pointed out that these will vary immensely. A nightly video broadcast of the daily news can receive only minimal attention. However, a unique event like a World Cup match in the knockout rounds may deserve and receive careful attention. The desire for video and audio quantity is a function of the QoE (Quality of Experience) set by the user and his user equipment features and achieved requirements.
With this information, can the provider team adjust its capital spending and resources in getting the video / audio desired to the use on the best path. If so, can he devise a method to maximize his profits?
Our presenter formulated the problem in these two compact statements:
- What should be the optimal cost charged per bit of multimedia data by the wireless carrier
and content provider such that their net utility is maximized?
- How much data should the user request at the given cost such that their QoE is maximized?
With a few parameters, a mathematical model can be developed, as shown in this presentation slide.
The equation for UPC describes, for this preliminary model, what the profit would be. See the equation for UPC above. This can be understood as the cost that the user would be willing to pay for a video / audio message of so many bits duration, with a specified quality factor, and with a minimum probability of dropouts. The latter two are the negative quantities in this equation. Just think of what a dropped signal occurred, just as a winning G-O-A-L was scored in a World Cup game. How would the user rate his QoE? Would there calls in the 4G / 5G networks provider? Quite probable.
After the presenter introduced Stuckelberg Game Theory, the next step is the maximize the operating profit UPC to the Content Provider and 4G / 5G internet provider Telecommunications system. Proceed to maximize the equation for UPC , noting that it must always be positive. There are a number of parameters that can be varied and examined as the profit is maximized. However there are boundaries as to the numbers of bits, image quality in colors and bit resolution, and measured drop out BERs that must be measured and verified by the telecommunication system supplier’ equipment. These will dictate reasonable numbers to use in these profit equations. (Keep this away from the marketing staff until reasonable numbers are obtained. These will feed into the costs for backhaul stations antennas, etc. This simplified model must have realistic system build out costs included.)) Certainly, there will be different QoEs that will be experienced by a fixed site as compared to a mobile user.
We thank Professor Wei Wang for his interesting talk. It contributes another piece of the puzzle in developing an optimal 4G/ 5G telecommunications system