IEEE Transactions on Information Theory · 2014 · 37 citations · 17 references
EngineeringComputer ScienceMathematicsDigital CommunicationInformation TheoryQueuing TheoryChannel CapacityChannel CodingCoding TheoryError Control CodingError-correcting CodesQueueing TheoryChannel Coding TheoremsChannelsCode Capacity
We analyze the problem of zero-error communication through timing channels that can be interpreted as discrete-time queues with bounded waiting times. The channel model includes the following assumptions: 1) time is slotted; 2) at most N particles are sent in each time slot; 3) every particle is delayed in the channel for a number of slots chosen randomly from the set {0, 1, ... , K}; and 4) the particles are identical. It is shown that the zero-error capacity of this channel is log r, where r is the unique positive real root of the polynomial x <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K+1</sup> -x <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">K</sup> -N. Capacity-achieving codes are explicitly constructed, and a linear-time decoding algorithm for these codes devised. In the particular case N = 1, K = 1, the capacity is equal to φ, where φ = (1 + √5)/2 is the golden ratio, and constructed codes give another interpretation of the Fibonacci sequence.
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