Disadvantages of Shannon Capacity
Given below is the some of the Disadvantages of Shannon Capacity
- Longer delays: Shannon capacity may cause delays considering it requires theoretical proof to proceed with the communication inside a channel.
- Error rate Increases with Information rate: Shannon theorem may be error prone if the amount of information increases.
- Errorless Channel: Due to noise an errorless channel may not be possible considering this theorem only provides conceptual proof.
- Increased Complexity: Shannon capacity theorem may increase complexity since deriving a channel capacity requires complex and expensive methods which can largely impact the complexity of data communication.
- Limited Scope: Shannon theorem only considers noise while modern communication faces a lot of other challenges such as interference, fading, packet loss and security concerns.
Shannon Capacity
In this article, we will be discussing the Shannon capacity theorem. Shannon Capacity or Shannon’s Channel Capacity theorem is a widely used theorem used in digital signal processing. This theorem helps in deciding the capacity of any noise-transmitting channel. It is very helpful in digital signals. In this article, we will learn about the Shannon capacity theorem, its formula, diagram, applications and full explanation.
Table of Content
- Shannon’s Channel Capacity
- Statement of the Theorem
- Applications
- Advantages
- Disadvantages