Optimal algorithm comparison in frequency allocation -IFR, water falling and FLG

Yuhua Li

doi:10.1117/12.2652526

6 September 2022 Optimal algorithm comparison in frequency allocation -IFR, water falling and FLG

Yuhua Li

Proceedings Volume 12332, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022); 123321L (2022) https://doi.org/10.1117/12.2652526
Event: International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 2022, Chengdu, China

Abstract

The capacity of the communication network can be influenced by changing the channel allocation in various settings. Researchers are working on it to come up with useful frequency assignments. This paper analyzed the capacity of different common frequency allocation modes to discover a better solution with many users. In a large classroom, for example, pupils can seat in a regular pattern and every one of them will connect to the network. As a result, during the experiment, modulations based on standard methods were included. All simulations are aimed at determining the ideal network capacity, hence self-improving algorithm-based networks are used. The results reveal that: a) in the pure IFR situation, network capacity is determined by the cellular network specification and the integer frequency reuse factor; and b) in the mixed IFR case, network capacity is determined by the cellular network specification and the integer frequency reuse factor. b) Among all the approaches individually, FLG is the best option. c) When using multiple methods using FFR, the best scenario is tx-ITL (beta5) with FFR (10). Overall, depending on the approach used, it can function differently in a small network. It's crucial to remember, especially in network design, that even one parameter might influence the outcome.

Citation Download Citation

Yuhua Li "Optimal algorithm comparison in frequency allocation -IFR, water falling and FLG", Proc. SPIE 12332, International Conference on Intelligent Systems, Communications, and Computer Networks (ISCCN 2022), 123321L (6 September 2022); https://doi.org/10.1117/12.2652526

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available

Members: $17.00

Non-members: $21.00 ADD TO CART

PROCEEDINGS
7 PAGES

DOWNLOAD PAPER SAVE TO MY LIBRARY

GET CITATION

RIGHTS & PERMISSIONS

Get copyright permission Get copyright permission on Copyright Marketplace

KEYWORDS

Modulation

Algorithm development

Analytical research

Signal to noise ratio

Network architectures

Optimization (mathematics)

Receivers

Show All Keywords

Keywords/Phrases

Search In:

Publication Years