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 address the arbitrarily varying channel (AVC) with colored Gaussian noise. The work consists of three parts. First, we study general discrete AVC fixed parameters, a model that combines and time-varying channel. determine both deterministic code capacity random capacity. Super-additivity is demonstrated, showing can be strictly larger than weighted sum parametric capacities. In second part, ...

This project considers the challenges in maximizing the worst-user’s rate for a multiple access Gaussian vector channel under power constraints. The multiple access Gaussian vector channel is derived from a multi-user OFDM uplink channel, which has no interference between subchannels. The optimal rate is determined at the maximal equal rate among the users. For a simple treatment, a multi-user ...

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...

We propose a new turbo encoding scheme for high spectral efficiency with performance close to the Gaussian channel capacity. The scheme combines nonuniform signaling on a Gaussian channel, and pragmatic turbo coded modulation for simple and flexible implementation. A table is used to map equiprobable input symbols into non equiprobable points in the QAM constellation. It is shown that the new s...