Towards combinatorial modeling of wireless technology generations
Mark Sh. Levin

TL;DR
This paper surveys the evolution of wireless communication technologies and introduces a hierarchical combinatorial modeling approach to analyze and forecast future generations, exemplified through 5G improvements.
Contribution
It presents a novel hierarchical combinatorial modeling framework for wireless technology generations, integrating system evolution and forecasting methods.
Findings
Hierarchical combinatorial models effectively represent wireless technology evolution.
The approach can forecast improvements in 5G using a two-stage combinatorial method.
Numerical examples demonstrate the practical applicability of the modeling framework.
Abstract
The paper addresses the following problems: (1) a brief survey on wireless mobile communication technologies including evolution, history evolution (e.g., chain of system generations 0G, 1G, 2G, 3G, 4G, 5G, 6G, 7G); (2) using a hierarchical structural modular approach to the generations of the wireless communication systems (i.e., hierarchical combinatorial modeling of the communication technologies), (3) illustrative usage of two-stage combinatorial approach to improvement/forecasting of the communication technology (a version of 5G) (on the basis of multiple choice problem). Numerical examples illustrate the suggested combinatorial approach.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsWireless Communication Networks Research · Satellite Communication Systems · Advanced MIMO Systems Optimization
