The restriction to Gaussian inputs in the limiting expression for the capacity regions of memoryless Gaussian interference and multiple-access channels is shown to fall short of achieving capacity even if the inputs are allowed to be dependent and nonstationary. In addition, the equality between the limiting and the single-letter characterizations of memoryless multiple-access channel capacity ...

In this paper, we consider the joint decoding of Raptor codes on a binary input additive white Gaussian noise channel. Raptor codes are rateless fountain codes that have the attractive property of being universal on the binary erasure channel: they can approach arbitrarily close the capacity, independently of the channel parameter. It has been recently shown that Raptor codes are not universal ...

For the Gaussian channel with intersymbolinterference (ISI), it is known that there is no loss in channel capacity if the receiver is an ideal minimum mean-squared error (MMSE) decision-feedback equalizer (DFE) with error-free feedback. However, combining the DFE with channel coding is problematic. Transmitter precoding and reduced-state sequence estimation are two common approaches (cf. [1] an...

We consider the communication from a cooperative sensor network to a mobile access point. We assume that sensors are informed with a global message and some nodes are misinformed with random messages. Nodes transmit to the mobile access point in a pre-scheduled order. We derive an achievable rate for the information retrieval process when d sensors are transmitting at a time. For the Gaussian m...

We present some new results on largesystem CDMA obtained through the replica method developed in statistical physics. We find the spectral efficiency of randomly spread CDMA subject to Gaussian noise and flat fading in the large-system limit under arbitrary input distributions. Both joint decoding and single-user decoding are considered. In the latter case, a conditional mean estimator is first...

In this paper we derive closed-form expressions for the single-user capacity of Maximum Ratio Combiner (MRC) system system, taking into account the effect of imperfect channel estimation at the receiver. The channel considered is a slowly varying spatially independent flat Rayleigh fading channel. The complex channel estimate and the actual channel are modelled as jointly Gaussian random variab...

The N + 1 user, 1 × N single input multiple output (SIMO) Gaussian interference channel where each transmitter has a single antenna and each receiver has N antennas is studied. The sum capacity within O(1) is characterized for the symmetric case where all direct links have the same signal-to-noise ratio (SNR) and all undesired links have the same interference-to-noise ratio (INR). The gap to th...

We present an algorithm for calculation of the Gaussian classical capacity of a quantum bosonic memory channel with additive Gaussian noise. The algorithm, restricted to Gaussian input states, is applicable to all channels with noise correlations obeying certain conditions and works in the full input energy domain, beyond previous treatments of this problem. As an illustration, we study the opt...

A recent result of the authors shows a so-called I-MMSE-like relationship that, for the two-user Gaussian interference channel, an I-MMSE relationship holds in the limit, as n → ∞, between the interference and the interfered-with receiver, assuming that the interfered-with transmission is an optimal point-to-point sequence (achieves the point-to-point capacity). This result was further used to ...

A scheme for powerand bandwidth-efficient communication on the linear Gaussian channel is proposed. A scenario is assumed in which the channel is stationary in time and the channel characteristics are known at the transmitter. Using interleaving, the linear Gaussian channel with its intersymbol interference is decomposed into a set of memoryless subchannels. Each subchannel is further decompose...