In mobile communication systems with multisensor antennas at base stations, downlink channel estimation plays a key role because accurate channel estimates are needed for transmit beamforming. One efficient approach to this problem is channel probing with feedback. In this method, the base station array transmits probing (training) signals. The channel is then estimated from feedback reports pr...

Consider the downlink of an isolated cell with a base station (BS) equipped with M multiple antennas and a single user with a single antenna. For this multiple-input single-output (MISO) channel, the capacity with perfect channel state information (CSI) the transmitter and receiver is known. In practice, however, it is actually more realistic to assume imperfect CSI at the transmitter. For inst...

In multiple-input–multiple-output (MIMO) broadcast channel the throughput can be enhanced by channel state information (CSI) feedback, but it is resources and feedback expensive. We propose a compressed sensing (CS) feedback scheme for zero-forcing beamforming (ZFBF) in MIMO broadcast channel, which can reduce the feedback load and resource consumption. The feedback channels are shared and oppo...

Limited feedback systems send quantized channel state information (CSI) from the receiver to the transmitter for improving either the throughput or the link reliability. This paper proposes a framework for analyzing multiantenna limited feedback systems with temporally-correlated flat-fading channels. Developed on a Markov chain modeling quantized CSI, the proposed framework consists of analyti...

Opportunistic interference alignment (OIA) exploits channel randomness and multiuser diversity by user selection when the transmitter has channel state information (CSI), which is usually measured on the receiver side and sent to the transmitter side via a feedback channel. Lee and Choi show that d degrees of freedom (DoF) per transmitter is achievable in a 3-cell d×2d MIMO interference channel...

This paper investigates the asymptotic expansion for the size of block codes defined for the additive white Gaussian noise (AWGN) channel with feedback under the following setting: A peak power constraint is imposed on every transmitted codeword, and the average error probability of decoding the transmitted message is non-vanishing as the blocklength increases. It is well-known that the presenc...

In classical information theory it is well-known that feedback does not improve the channel capacity. We demonstrate that this is not the case in the interactive setting by developing a new coding scheme for interactive communication over the binary symmetric channel (BSC) with feedback that allows recovery of the original communication with vanishing probability of error. More precisely, we sh...

In this paper, we consider the effect of feedback channel error on the throughput of one-hop wireless networks under the random connection model. The transmission strategy is based on activating source-destination pairs with strongest direct links. While these activated pairs are identified based on Channel State Information (CSI) at the receive side, the transmit side will be provided with a n...