Biochemical signal-transduction networks are the biological information-processing systems by which individual cells, from neurons to amoebae, perceive and respond to their chemical environments. We introduce a simplified model of a single biochemical relay and analyse its capacity as a communications channel. A diffusible ligand is released by a sending cell and received by binding to a transm...

We prove that, under certain conditions, the capacity of an optical communication channel with in-line, nonlinear filtering (regeneration) elements can be higher than the Shannon capacity for the corresponding linear Gaussian white noise channel.

A simple lemma is derived that allows to transform a general scalar (non-Gaussian, non-additive) continuousalphabet channel as well as a general multiple-access channel into a modulo-additive noise channel. While in general the transformation is information lossy, it allows to leverage linear coding techniques and capacity results derived for networks comprised of additive Gaussian nodes to mor...

A communication environment with multiple transmitters and multiple receivers is inherently a competitive environment. The aim of this thesis is to illustrate the role of competition and the value of cooperation in a multi-user communication environment from an information-theoretical perspective. Various scenarios will be treated, including the multiple access channel where receivers cooperate...

Biochemical signal-transduction networks are the biological information-processing systems by which individual cells, from neurons to amoebae, perceive and respond to their chemical environments. We introduce a simplified model of a single biochemical relay and analyse its capacity as a communications channel. A diffusible ligand is released by a sending cell and received by binding to a transm...

The capacity of deterministic, complex and discrete time memoryless Additive White Gaussian Noise (AWGN) channel under three constraints, namely, channel input average power, channel input amplitude and delivered power at the channel output is considered. The delivered power constraint is modelled as a linear combination of even-moment statistics of the channel input being larger than a thresho...

As shown by Médard, the capacity of fading channels with imperfect channel-state information (CSI) can be lowerbounded by assuming a Gaussian channel input and by treating the unknown portion of the channel multiplied by the channel input as independent worst-case (Gaussian) noise. Recently, we have demonstrated that this lower bound can be sharpened by a rate-splitting approach: by expressing ...

We show that the capacity Cn,FB(P ) of the Gaussian channel with feedback is a concave function of P , and give two types of inequalities: both 1 α Cn,FB(αP ) and Cn,FB(αP ) + 1 2 ln 1 α are decreasing functions of α > 0. As their application we can obtain two upper bounds on the capacity of discrete time blockwise white Gaussian channel with feedback.

In this work, the design of a -bit (scalar and vector) soft-decision demodulator for Gaussian channels with binary phase-shift keying modulation is investigated. The demodulator is used in conjunction with a soft-decision channel-optimized vector quantization (COVQ) system. The COVQ is constructed for an expanded ( 1) discrete channel consisting of the concatenation of the modulator, the Gaussi...