LS3 | Dr.C.Nithya Prabha - AP | Computer Science | Networking Channel capacity | SNS Institutions

Описание: Channel capacity is the theoretical maximum amount of data that can be reliably transmitted over a communication channel in a given amount of time, typically measured in bits per second (bps). It represents the upper bound on the data rate achievable with arbitrarily small error probability.
Key Factors Determining Channel Capacity
The capacity of a channel is fundamentally limited by several physical and technical factors:
Bandwidth (B): The range of frequencies a channel can use. A higher bandwidth generally allows for a higher data rate.
Signal-to-Noise Ratio (SNR or S/N): The ratio of the average signal power to the average noise power in the channel. A higher SNR indicates a cleaner signal, which permits more reliable data transmission. Noise is any unwanted signal that can interfere with communication.
Encoding Scheme: The method used to convert information into signals. Efficient encoding schemes can optimize the use of available capacity. Channel capacity is the maximum rate of information that can be transmitted reliably over a communication channel, and it is determined by factors like bandwidth and signal-to-noise ratio. The Shannon-Hartley theorem provides the theoretical upper limit for this capacity, which is proportional to the channel's bandwidth and the signal-to-noise ratio (\(C=B\log _{2}(1+S/N)\)). The network capacity is defined as the injection bandwidth offered to each of the N terminal nodes for uniform random traffic [9, 26]. It can be calculated from the bisection bandwidth (BB) or the bisection channel count (BC) and the channel bandwidth (b) as follows: (1.1) Capacity = 2 B B N = 2 b B C N .The three main factors that influence channel capacity are bandwidth, signal-to-noise ratio (SNR), and the encoding scheme used for transmitting information.
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