Optimal beamforming with combined channel and path CSIT for multi-cell multi-user MIMO

@article{Tabikh2016OptimalBW,
  title={Optimal beamforming with combined channel and path CSIT for multi-cell multi-user MIMO},
  author={Wassim Tabikh and Dirk T. M. Slock and Yi Yuan-Wu},
  journal={2016 Information Theory and Applications Workshop (ITA)},
  year={2016},
  pages={1-6}
}
We consider a combined form of partial CSIT (Channel State Information at the Transmitter(s) (Tx)), comprising both channel estimates (mean CSIT) and covariance CSIT. In particular multipath induced structured low rank covariances are considered that arise in Massive MIMO and mmWave settings. For the beamforming optimization, we first revisit Weighted Sum Rate (WSR) maximization with perfect CSIT and introduce yet another equivalent approach: Weighted Sum Unbiased MSE (WSUMSE). We then turn to… 

Noncoherent multi-user MIMO communications using covariance CSIT

Simulations indicate that the pwCSit based designs may lead to limited spectral efficiency loss compared to iCSIT based designs, while trading fast fadingCSIT for slow fading CSIT, and it is pointed out that the pathwise approach may leading to distributed designs with only local pwC-S IT, and analyze the sum rates for i CSIT and pw CSIT in the low and high SNR limits.

Robust MIMO OFDM transmit beamformer design for large Doppler scenarios under partial CSIT

  • K. GopalaD. Slock
  • Computer Science
    2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2017
The design of a transmit beamformer is made more robust by considering only partial CSIT knowledge and is designed by optimizing the expected weighted sum rate (EWSR) under large MIMO asymptotics regime.

Low-complexity Channel Estimation for Large-scale Receiving Antenna Systems Based on PASTd

Subspace estimation is an important procedure when we make predictions about the direction of arrival (DOA). Low-complexity projection approximation and subspace tracking of deflation (PASTd) is able

Massive MIMO in 5G networks for intercell interference cancellation and capacity boost. (Utilisation du massive MIMO dans les réseaux 5G pour l'annulation d'interférence inter-cellule et pour l'augmentation de la capacité)

This thesis proposes new interference management alternatives for the massive MIMO antenna regime, taking into account also the practical challenges of massive antenna arrays, as well as treating the problem of interference cancellation and capacity maximization in massive MIPO.

References

SHOWING 1-10 OF 13 REFERENCES

Sum Rate maximization in the noisy MIMO interfering broadcast channel with partial CSIT via the expected weighted MSE

We consider the maximization of Weighted Sum Rate (WSR) for a Noisy Multiple-Input-Multiple-Output (MIMO) K cell Interfering Broadcast Channel (IBC) when only partial channel state information is

MIMO broadcast channels with Gaussian CSIT and application to location based CSIT

The expected WSSINR approach is significantly better than expected WSMSE, with large MIMO asymptotics introducing some further tweaking weights that yield a deterministic approach that becomes exact when the number of antennas increases.

The pathwise MIMO Interfering Broadcast Channel

  • Wassim TabikhD. SlockY. Yuan-Wu
  • Computer Science
    2015 IEEE 16th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
  • 2015
This paper focuses on the (dominant) multipath components in the MIMO propagation channels with only the slow fading components known to the Tx, corresponding to a structured form of covariance CSIT, and explores a relation between the difference of convex functions programming and the Weighted Sum MSE approaches.

On the noisy MIMO interference channel with CSI through analog feedback

A transmission protocol through which base stations (BSs) and user equipments (UEs) acquire the necessary channel state information (CSI) for Interference Alignment transmit (Tx) and receive (Rx) filters design is proposed.

From MU massive MISO to pathwise MU massive MIMO

A hierarchical cross/direct link beamformer design, maximizing Weighted Sum Rate with partial CSIT at finite SNR, requiring on local CSIT is considered, which can be obtained without feedback.

On the MIMO interference channel

An iterative algorithm to design optimal linear transmitters and receivers in a K-user frequency-flat MIMO Interference Channel with full channel state information with the optimality of the heuristic of [2],[3] when applied in the context of the alternating transmitter-receiver optimization approach of [1].

Decoupled, rank reduced, massive and frequency-selective aspects in MIMO Interfering Broadcast Channels

Network decomposition is aided by the for finite SNR more relevant topological IBC scenario, in which also reduced rank MIMO channels may appear and the transition to Massive MIMM introduces a reduced rank in the covariance CSIT and allows network decomposition.

Weighted Sum-Rate Maximization Using Weighted MMSE for MIMO-BC Beamforming Design

A relationship between weighted sum-rate and weighted MMSE in the MIMO-BC is established and two low complexity algorithms for finding a local weighted Sum-rate optimum based on alternating optimization are proposed.

Optimal Resource Allocation for MIMO Ad Hoc Cognitive Radio Networks

The stand-alone weighted sum-rate optimal schemes proposed here have merits over interference-alignment alternatives especially for practical SNR values.The novel approach is flexible to accommodate modifications aiming at interference alignment.

Foresighted delayed CSIT feedback for finite rate of innovation channel models and attainable NetDoFs of the MIMO interference channel

This paper analyzes NetDoFs, which account for training overhead and FB DoF consumption on the reverse link, and provides attainable NetDoF expressions in the MIMO Interference Channel with linear transceivers for the DoF-optimal schemes of Interference Alignment with FCFB and several simpler schemes.