Multiple input multiple output (MIMO) wireless systems can offer significant diversity and transmit beamforming with receive combining provides a method to achieve this diversity with simple receive processing. The maximum gains in terms of array gain and diversity, however, requires perfect channel knowledge at the transmitter. In the absence of perfect channel knowledge, the channel informati...

In this paper, the one-sided secrecy of two-way wiretap channel with feedback is investigated, where the confidential messages of one user through multiple transmissions is guaranteed secure against an external eavesdropper. For one thing, one-sided secrecy satisfies the secure demand of many practical scenarios. For another, the secrecy is measured over many blocks since the correlation betwee...

In this paper it is established that any jointly controllable, observable, multi-channel, discrete or continuous time linear system with a strongly connected neighbor communication graph can be exponentially stabilized pre-specified convergence rate using time-invariant distributed control. As an illustration of how finding used to deal certain tracking problems, solution given set-point contro...

It is well known that Shannon's separation result does not hold under nite computation or nite delay constraints, thus joint source-channel coding is of great interest for practical reasons. For progressive source-channel coding systems, eecient codes have been proposed for feed forward channels 1] and the important problem of rate allocation between the source and channel codes has been solved...

Foreword Modern wireless systems include key technologies such as multiuser diversity, adaptive transmission, multiple-input multiple-output (MIMO) processing and cooperative data communication networks. Common for all these technologies is that the feedback of channel state information (CSI) is necessary, as it is exploited for adapting the transmission parameters, scheduling, etc. The CSI is ...

The feedback capacity of the stationary Gaussian additive noise channel has been open, except for the case where the noise is white. Here we obtain the closed-form feedback capacity of the first-order moving average additive Gaussian noise channel. Specifically, the channel is given by Yi = Xi +Zi, i = 1, 2, . . . , where the input {Xi} satisfies a power constraint and the noise {Zi} is a first...