In today's world of digital communications, the transmission of bits is crucial. However, one phenomenon that often confuses many experts is that certain bits suddenly disappear during transmission. This article will explore the reasons behind this phenomenon and its implications, specifically how Binary Vanishing Channels (BEC) operate.
Binary vanishing channel is a communication channel model characterized by the fact that the bits sent (zeros or ones) have a certain probability of being "erased". When a transmitter transmits a bit to a receiver, the receiver either receives the bit correctly, or with some probability P_e
obtains a disappearing symbol, indicating that the bit cannot be received.
"In the communication process, unpredictable interference and errors are the main reasons for bit loss."
In this channel, the sent random variable X
has two possible inputs (0 and 1), while the received variable Y
may be 0 , 1 or disappearing symbol e. The characteristics of the channel can be described by conditional probability:
Pr[Y=0|X=0] = 1 - P_e
Pr[Y=1|X=1] = 1 - P_e
Pr[Y=e|X=0] = P_e
Pr[Y=e|X=1] = P_e
The capacity of a binary vanishing channel is 1 - P_e
, which is achieved if the bits sent are evenly distributed. If the sender is notified when a bit disappears, the bit can be sent repeatedly until reception is successful. This allows the channel to reach its maximum capacity 1 - P_e
.
"Even when no feedback is obtained, the channel capacity can still be obtained through the noisy channel coding theorem."
In addition to vanishing channels, there are other similar channel models. If the bits are flipped instead of disappearing, then the channel we are on is a Binary Symmetry Channel (BSC), which has a capacity of 1 - H_b(P_e)
, and under certain circumstances is lower than the capacity of BEC. If a bit disappears, but the receiver is not notified (i.e., e
is not received), the channel is a delete channel, and its capacity is currently an open issue.
The concept of binary vanishing channels was first proposed by Peter Elias of MIT in 1955, initially as a toy example. This model has had a profound impact on the development of information theory and coding theory over time.
With the advancement of digital communication technology, today's data transmission often faces the problem of bit loss. This not only affects the integrity of the data, but also poses a challenge to the security of the system. Understanding the operating principles of BEC can provide a basis for designing more efficient error correction codes and communication systems.
Although the research on binary vanishing channels has achieved remarkable results, there are still many unknown factors and challenges in actual communication. Understanding how to minimize bit loss events and improve related technologies will be an important research direction in the future.
When we delve into this topic, we can't help but wonder, as data transmission continues to evolve, are there other undisclosed channel characteristics waiting for us to explore and understand?