In this paper we investigate the application of Blind Source Separation (BSS) algorithms for the decoding of linearly precoded MIMO communication systems and for the design of limited feedback channels that send the Channel Status Information (CSI) from the receiver to the transmitter. The advantage of using BSS is that the MIMO channel can be continuously tracked without the need of pilot symb...

A new Deep Neural Network (DNN)-based error correction encoder architecture for channels with feedback, called Extended Feedback (DEF), is presented in this paper. The the DEF transmits an information message followed by a sequence of parity symbols which are generated based on as well observations past forward channel outputs sent to transmitter through feedback channel. codes generalize Deepc...

Massive multiple-input multiple-output (MIMO) is becoming a key technology for future 5G wireless communications. Channel feedback for massive MIMO is challenging due to the substantially increased dimension of MIMO channel matrix. In this letter, we propose a compressive sensing (CS) based differential channel feedback scheme to reduce the feedback overhead. Specifically, the temporal correlat...

Recently, a number of techniques have been introduced to improve sum-rate performance of a wireless multiple-input multiple-output (MIMO) broadcast channel (BC). However, previous works have ignored the rate overhead associated with feedback of MIMO BC channel state information (CSI), which increases in proportion to the number of users in multi-user MIMO communications. Considering the limited...

An adaptive negative feedback controller structure in the transmitter is presented for indoor wireless communications, where the channel may vary due to rotation and small movement of the mobile terminal. The preliminary version of such negative feedback controller is popularly known as Tomlinson Harashima (TH) precoder in wireless communications. The proposed scheme presents a fast adaptive ve...

We demonstrate that the sum-rate capacity of a memoryless Gaussian network at high signal-to-signal ratio (SNR) can be asymptotically doubled when feedback is available. To demonstrate this phenomenon we study two networks: the one-to-two scalar Gaussian broadcast channel (BC) and the twoto-two scalar Gaussian interference channel (IC). For the broadcast channel we show that if the noise sequen...

This paper develops further the idea of use of Soft Input Decryption. The function of Soft Input Decryption is to integrate decryption into the decoding process. In this paper it is shown how Soft Input Decryption can be enhanced using feedback from the channel decoder. In this way, the cooperation between channel coding and cryptography is further develops. The effect of the feedback is explai...

Recently, a number of techniques have been introduced to improve sum-rate performance of a wireless multipleinput multiple-output (MIMO) broadcast channel (BC). However, previous works have ignored the rate overhead associated with feedback of MIMO BC channel state information (CSI), which increases in proportion to the number of users in multi-user MIMO communications. Considering the limited ...

The traditional information theoretic approach to studying feedback is to consider ideal instantaneous high-rate feedback of the channel outputs to the encoder. This was acceptable in classical work because the results were negative: Shannon pointed out that even perfect feedback often does not improve capacity and in the context of symmetric DMCs, Dobrushin showed that it does not improve the ...