• Corpus ID: 220128336

Co-Designing Statistical MIMO Radar and In-band Full-Duplex Multi-User MIMO Communications

@article{Liu2020CoDesigningSM,
  title={Co-Designing Statistical MIMO Radar and In-band Full-Duplex Multi-User MIMO Communications},
  author={Jiawei Liu and Kumar Vijay Mishra and Mohammad Saquib},
  journal={ArXiv},
  year={2020},
  volume={abs/2006.14774}
}
We present a spectral co-design of a statistical multiple-input-multiple-output (MIMO) radar and an in-band full-duplex (IBFD) multi-user MIMO (MU-MIMO) communications system both of which concurrently operate within the same frequency band. Prior works on MIMO-radar-MIMO-communications (MRMC) problem either focus on colocated MIMO radars and half-duplex/single-user MIMO communications, seek coexistence solutions, do not jointly design waveforms and receiver processing or omit practical system… 

Figures and Tables from this paper

Precoder Design for Joint In-Band Full-Duplex MIMO Communications and Widely-Distributed MIMO Radar

The proposed precoder design scheme outperforms conventional precoding strategies in the presence of a WDMR and solves the WSR maximization problem as a weighted minimum mean-squared-error (WMMSE) minimization problem by exploiting the relationship between achievable rate and MSE.

Transceiver Co-design for Full-Duplex Integrated Sensing and Communications

Numerical experiments show that the proposed WMMSE-based method for distributed ISAC design achieves monotonic convergence within finite steps with a much-improved signal-to-noise ratio for radar and communications functions.

Transmit Design for Joint MIMO Radar and Multiuser Communications With Transmit Covariance Constraint

This paper considers the waveform design of a multiple-input multiple-output (MIMO) transmitter which simultaneously functions as a MIMO radar and a base station for downlink multiuser communications, and proposes gradient projection based algorithms to solve the equivalent dual problem of SINR balancing, in both transmit beamforming and DPC regimes.

Co-Design for MU-MIMO Communication and MIMO radar Systems based on Mutual Information

This paper collaboratively designs radar waveform and communication transceiver beamformers to enhance the co-existence performance of multiple-input multiple-output (MIMO) radar and multi-user MIMO

Constraint Waveform Design for Spectrum Sharing Under Coexistence of Radar and Communication Systems

It is shown that the desired covariance matrix is positive semi definite and radar can share the spectrum while detecting the target and a minimum square error for both angles is shown based on the algorithm.

Multi-dimensional dual-blind deconvolution approach toward joint radar-communications

Numerical experiments validate the proposed approach and show that precise estimation of continuous-valued channel parameters, radar waveform, and communications messages is possible up to scaling ambiguities.

Terahertz-Band Joint Ultra-Massive MIMO Radar-Communications: Model-Based and Model-Free Hybrid Beamforming

Wideband hybrid beamformers based on both model-based and model-free techniques for a new group-of-subarrays (GoSA) ultra-massive MIMO structure in low-THz band are developed andumerical experiments demonstrate that both techniques outperform the conventional approaches in terms of spectral efficiency and radar beampatterns.

Dual-Blind Deconvolution for Overlaid Radar-Communications Systems

A semidefinite program to estimate the unknown target and communications parameters using the theories of positive-hyperoctant trigonometric polynomials (PhTP) and it is shown that the minimum number of samples required for perfect recovery scale logarithmically with the maximum of the radar targets and communications paths rather than their sum.

Joint Radar-Communications Processing from a Dual-Blind Deconvolution Perspective

The sparsity of the channel is exploited to solve DBD by casting it as an atomic norm minimization problem and perfect recovery of continuous-valued range-time and Doppler velocities of multiple targets as well as delay-Doppler communications channel parameters using uniformly-spaced time samples in the dual-blind receiver is demonstrated.

A Family of Deep Learning Architectures for Channel Estimation and Hybrid Beamforming in Multi-Carrier mm-Wave Massive MIMO

This paper considers a massive MIMO Orthogonal Frequency Division Multiplexing (MIMO-OFDM) system and proposes three different DL frameworks comprising convolutional neural networks (CNNs), which accept the raw data of received signal as input and yield channel estimates and the hybrid beamformers at the output.

References

SHOWING 1-10 OF 73 REFERENCES

Precoder Design for Joint In-Band Full-Duplex MIMO Communications and Widely-Distributed MIMO Radar

The proposed precoder design scheme outperforms conventional precoding strategies in the presence of a WDMR and solves the WSR maximization problem as a weighted minimum mean-squared-error (WMMSE) minimization problem by exploiting the relationship between achievable rate and MSE.

Transceiver Design and Power Allocation for Full-Duplex MIMO Communication Systems With Spectrum Sharing Radar

This paper considers the spectrum sharing between a colocated multiple-input-multiple-output (MIMO) radar and a full-duplex MIMO cellular communication system consisting of an FD base station (BS) serving multiple downlink and uplink users simultaneously, without hindering the detection probability of the radar.

Joint Transmit Designs for Coexistence of MIMO Wireless Communications and Sparse Sensing Radars in Clutter

  • Bo LiA. Petropulu
  • Computer Science, Business
    IEEE Transactions on Aerospace and Electronic Systems
  • 2017
Simulation results show that the proposed scheme significantly improves the spectrum sharing performance in various scenarios and provides efficient algorithms for the proposed optimization problem, along with insight on the feasibility and properties of the proposed design.

Joint System Design for Coexistence of MIMO Radar and MIMO Communication

This paper considers the joint design of a multiple-input multiple-output (MIMO) radar with co-located antennas and a MIMO communication system, and a reduced-complexity iterative algorithm, based on iterative alternating maximization of three suitably designed subproblems, is proposed and analyzed.

MU-MIMO Communications With MIMO Radar: From Co-Existence to Joint Transmission

Numerical results show that the shared deployment outperforms the separated case significantly, and the proposed weighted optimizations achieve a similar performance to the original optimizations, despite their significantly lower computational complexity.

MIMO Radar and Cellular Coexistence: A Power-Efficient Approach Enabled by Interference Exploitation

Numerical results show that the proposed method achieves a significant power saving compared to conventional approaches, while obtaining a favorable performance-complexity tradeoff.

Optimum Co-Design of Spectrum Sharing Between MIMO Radar and MIMO Communication Systems: An Interference Alignment Approach

  • M. RihanLei Huang
  • Computer Science, Business
    IEEE Transactions on Vehicular Technology
  • 2018
A two-tier alternating optimization spectrum sharing framework that is based on interference alignment (IA) approach that consists of a main iterative algorithm with two subalgorithms included within its operation and results are provided to confirm the superiority of the proposed framework for both systems.

Design and Analysis of FD MIMO Cellular Systems in Coexistence With MIMO Radar

Numerical results demonstrate the feasibility of the proposed spectrum sharing algorithms, albeit with certain tradeoffs in RS transmit power, PoD and QoS of cellular users.

Discrete-Phase Sequence Design for Coexistence of MIMO Radar and MIMO Communications

Numerical experiments indicate that the proposed method monotonically increases the signal to noise and interference ratio, while designing discrete phase sequences.

Interference Alignment Based Spectrum Sharing for MIMO Radar and Communication Systems

  • Yuanhao CuiV. KoivunenXiaojun Jing
  • Computer Science, Business
    2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)
  • 2018
Analytical and simulation results show that radar detection performance is similar to the interference-free case with desired diversity order if the decoder matrix is semi-unitary and IA is perfect.
...