Add to ORKGThe random coding capacity of a vector Gaussian arbitrarily varying channel (VGAVC) is determined, along with a simple general method for computing this capacity. The VGAVC is a discrete-time memoryless vector channel with an input power constraint and additive Gaussian noise that is further corrupted by an additive "jamming signal." The statistics of this jamming signal are unknown and may be arbitrary subject only to a power constraint
Abstract. An outer bound on the capacity region of broadcast channels is presented called the degrad...
We study communication systems over the state dependent channels in the presence of a malicious stat...
Random coding theorems are proved for discrete memoryless arbitrarily varying channels (AVCs) with c...
Abstract-The random coding capacity of a vector Gaussian arbitrarily varying channel (VGAVC) is dete...
The Arbitrarily Varying Channel (AVC) can be interpreted as a model of a channel jammed by an intell...
The random coding capacity of the Gaussian arbitrarily varying channel (GAVC) under a maximal probab...
The capacity of multiple-input multiple-output additive white Gaussian noise channels is investigate...
Abstract-The Gaussian arbitrarily varying channel with input con-straint r and state constraint 2 ad...
Channel capacity of a discrete channel is evaluated for a number of tactical situations involving an...
The Gaussian arbitrarily varying channel with input constraint GAMMA and state constraint LAMBDA adm...
The additive infinite-dimensional Gaussian channel subject to jamming is modeled as a two-person zer...
International audienceWe analyze a class of vector multiple access channels with additive noise, whe...
The amplitude-constrained capacity of a scalar Gaussian channel is shown to be achieved by a unique ...
AbstractCapacity is deremined for a class of communication channels containing additive noise. Gauss...
International audienceWe analyze a class of vector multiple access channels with additive noise, whe...
Abstract. An outer bound on the capacity region of broadcast channels is presented called the degrad...
We study communication systems over the state dependent channels in the presence of a malicious stat...
Random coding theorems are proved for discrete memoryless arbitrarily varying channels (AVCs) with c...
Abstract-The random coding capacity of a vector Gaussian arbitrarily varying channel (VGAVC) is dete...
The Arbitrarily Varying Channel (AVC) can be interpreted as a model of a channel jammed by an intell...
The random coding capacity of the Gaussian arbitrarily varying channel (GAVC) under a maximal probab...
The capacity of multiple-input multiple-output additive white Gaussian noise channels is investigate...
Abstract-The Gaussian arbitrarily varying channel with input con-straint r and state constraint 2 ad...
Channel capacity of a discrete channel is evaluated for a number of tactical situations involving an...
The Gaussian arbitrarily varying channel with input constraint GAMMA and state constraint LAMBDA adm...
The additive infinite-dimensional Gaussian channel subject to jamming is modeled as a two-person zer...
International audienceWe analyze a class of vector multiple access channels with additive noise, whe...
The amplitude-constrained capacity of a scalar Gaussian channel is shown to be achieved by a unique ...
AbstractCapacity is deremined for a class of communication channels containing additive noise. Gauss...
International audienceWe analyze a class of vector multiple access channels with additive noise, whe...
Abstract. An outer bound on the capacity region of broadcast channels is presented called the degrad...
We study communication systems over the state dependent channels in the presence of a malicious stat...
Random coding theorems are proved for discrete memoryless arbitrarily varying channels (AVCs) with c...