Open AccessAnalysis and Optimization of Channel Capacity Based on Modified IFR Algorithm
Author(s) -
Aoran Zhang,
Jingyue Zhang,
Shiqi Zhou
Publication year - 2021
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1903/1/012067
Subject(s) - computer science , interference (communication) , radius , channel (broadcasting) , wireless , economic shortage , reuse , wireless network , telecommunications , simulation , electronic engineering , mathematical optimization , computer network , engineering , mathematics , linguistics , philosophy , government (linguistics) , waste management
Massage passing can be communicated over different frequency channels at the same time. With the rapid development of the wireless system, more and more wireless applications have to compete for limited spectrum resources. These days, however, the spectrum vacancy is a serious issue that has aroused many studies. Therefore, how to make use of the resource properly has become a very significant problem to be mitigated. In this paper, we first study the frequency allocation by analyzing the capacity through using the Soft Frequency Reuse (SFR) system model applied in the Cellular Networks and building up a basic SFR model. Then we analyze the influence of the temperature by modifying the interference temperature model into a basic IFR model to find the impact on the environment. Finally, this result for IFR is extended to our SFR model to study the influence of the environment for SFR. In this model, as our expectation, with the ratio of cell radius over the center radius grows, the network capacity increases. However, due to the spectrum’s shortage, this upward trend does not emerge significantly when the ratio is over 0.75. Considering factors related to temperature, even in the simplest environment, the influence of thermal noise cannot be ignored. Therefore, it is crucial to put temperature into account when simulating a more complex model in an environment similar to the real world.