Noncoherent multi-user MIMO communications using covariance CSIT

  title={Noncoherent multi-user MIMO communications using covariance CSIT},
  author={Christo Kurisummoottil Thomas and Wassim Tabikh and Dirk T. M. Slock and Yi Yuan-Wu},
  journal={2017 51st Asilomar Conference on Signals, Systems, and Computers},
The Multi-User downlink, particularly in a Multi-Cell Massive MIMO setting, requires enormous amounts of instantaneous CSIT (Channel State Information at the Trans-mitter(s)), iCSIT. Here we focus on exploiting channel covariance CSIT (coCSIT) only. In particular multipath induced structured low rank covariances are considered that arise in Massive MIMO and mmWave settings, which we call pathwise CSIT (pwC-SIT). The resulting non-Kronecker MIMO channel covariance structures lead to a split… 

Figures from this paper

Reduced-Order Zero-Forcing Beamforming vs Optimal Beamforming and Dirty Paper Coding and Massive MIMO Analysis
  • C. Thomas, D. Slock
  • Computer Science
    2018 IEEE 10th Sensor Array and Multichannel Signal Processing Workshop (SAM)
  • 2018
This work applies a simple large systems analysis to determine the asymptotic performance of RO-ZF designs, determine the optimal ZF orders, and compare to optimal and ZF linear and Dirty Paper Coding (DPC) designs.
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.


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 Tabikh, D. Slock, Y. 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.
Optimal beamforming with combined channel and path CSIT for multi-cell multi-user MIMO
This work considers a combined form of partial CSIT (Channel State Information at the Transmitter(s) (Tx), comprising both channel estimates (mean CSIT) and covariance CSIT and considers Expected WSR (EWSR) maximization for which EWSUMSE turns out to be a better approximation compared to the existing EWSMSE approach.
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.
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.
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].
Deterministic annealing design and analysis of the Noisy MIMO Interference Channel
The rank reduction simplifies IA design and feasibility analysis, and allows in particular a counting of the number of IA solutions, by choosing now the temperature parameter to be a scale factor for the remaining channel singular values, the solution for reduced rank channels can be evolved into that for arbitrary channels.
Massive MIMO for next generation wireless systems
While massive MIMO renders many traditional research problems irrelevant, it uncovers entirely new problems that urgently need attention: the challenge of making many low-cost low-precision components that work effectively together, acquisition and synchronization for newly joined terminals, the exploitation of extra degrees of freedom provided by the excess of service antennas, reducing internal power consumption to achieve total energy efficiency reductions, and finding new deployment scenarios.
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.
Matched filter bounds without channel knowledge at the receiver
  • A. Medles, D. Slock
  • Computer Science
    The Thrity-Seventh Asilomar Conference on Signals, Systems & Computers, 2003
  • 2003
The matched filter bound (MFB) is specifically analyzed, which corresponds to the ML performance for the detection of a symbol assuming all other symbols are known, which allows to incorporate channel estimation from the known symbols.