Approximate minimax theorems are shown for the finite blocklength lossy JSCC game over an AVC, with minimax and maximin values coinciding asymptotically and at second order around a critical rate threshold.
Finite Blocklength and Dispersion Bounds for the Arbitrarily-Varying Channel
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abstract
Finite blocklength and second-order (dispersion) results are presented for the arbitrarily-varying channel (AVC), a classical model wherein an adversary can transmit arbitrary signals into the channel. A novel finite blocklength achievability bound is presented, roughly analogous to the random coding union bound for non-adversarial channels. This finite blocklength bound, along with a known converse bound, is used to derive bounds on the dispersion of discrete memoryless AVCs without shared randomness, and with cost constraints on the input and the state. These bounds are tight for many channels of interest, including the binary symmetric AVC. However, the bounds are not tight if the deterministic and random code capacities differ.
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cs.IT 1years
2019 1verdicts
UNVERDICTED 1representative citing papers
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Minimax Theorems for Finite Blocklength Lossy Joint Source-Channel Coding over an AVC
Approximate minimax theorems are shown for the finite blocklength lossy JSCC game over an AVC, with minimax and maximin values coinciding asymptotically and at second order around a critical rate threshold.