Energy Efficient Beamforming Optimization for Integrated Sensing and Communication

  title={Energy Efficient Beamforming Optimization for Integrated Sensing and Communication},
  author={Zhenyao He and Wei Xu and Hong Shen and Yongming Huang and Huahua Xiao},
  journal={IEEE Wireless Communications Letters},
This letter investigates the optimization of beamforming design in a system with integrated sensing and communication (ISAC), where the base station (BS) sends signals for simultaneous multiuser communication and radar sensing. We aim at maximizing the energy efficiency (EE) of the multiuser communication while guaranteeing the sensing requirement in terms of individual radar beampattern gains. The problem is a complicated nonconvex fractional program which is challenging to be solved. By… 

Figures and Tables from this paper

Full-Duplex Communication for ISAC: Joint Beamforming and Power Optimization

Numerical results demonstrate that the optimized FD communication-based ISAC brings tremendous improvements in terms of both power and spectral efficiency compared to the conventional ISAC with HD communication, especially when the interference power is low and the sensing requirement is less restrictive.

Integrated Sensing and Communication Waveform Design: A Survey

A comprehensive survey of the state-of-the-art approaches to the ISAC technique from the waveform design perspective is provided, and theWaveform design methods are classified into three categories, namely, communication-centric wave form design, sensing-centric Waveform design, and joint waveform optimization and design.



Optimal Transmit Beamforming for Integrated Sensing and Communication

This paper studies the transmit beamforming in a downlink integrated sensing and communication (ISAC) system, where a base station (BS) equipped with a uniform linear array (ULA) sends combined

Hybrid Beamforming with Sub-arrayed MIMO Radar: Enabling Joint Sensing and Communication at mmWave Band

  • Fan LiuC. Masouros
  • Computer Science
    ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • 2019
A beamforming design for dual-functional radar-communication systems at the mil-limeter wave (mmWave) band is proposed, where hybrid beamforming and sub-arrayed MIMO radar techniques are jointly exploited.

Hardware Efficient Joint Radar-Communications with Hybrid Precoding and RF Chain Optimization

The simulation results show that the proposed method with minimum hardware achieves the best EE while maintaining the rate performance, and an efficient trade-off between sensing and communication.

Robust Beamforming With Partial Channel State Information for Energy Efficient Networks

This paper starts with a single-user single-cell MIMO system and obtains a closed-form design for robust beamforming, and resorts to a lower bound, instead of the primal problem, and cast it as a semidefinite program (SDP).

Joint Transmit Beamforming for Multiuser MIMO Communications and MIMO Radar

This paper proposes a joint transmit beamforming model for a dual-function multiple-input-multiple-output (MIMO) radar and multiuser MIMO communication transmitter that approaches the radar performance of the radar-only scheme, i.e., without spectrum sharing, under reasonable communication quality constraints.

Dual-Functional Radar-Communication Waveform Design: A Symbol-Level Precoding Approach

This paper considers multi-input multi-output (MIMO) DFRC systems and focuses on transmit beamforming designs to provide both radar sensing and multi-user communications, and proposes to use the recently emerged symbol-level precoding approach inDFRC systems.

Joint Multi-User Communication and MIMO Radar Through Full-Duplex Hybrid Beamforming

This work demonstrates that MIMO processing can separate the communication users and radar targets in the angular domain, and the super-resolution provided by angle estimation allows differentiating between radar targets having the same range, but with minuscule angular separation.

MIMO Radar Waveform Design With Constant Modulus and Similarity Constraints

Two sequential optimization procedures to maximize the Signal to Interference plus Noise Ratio (SINR) are presented, accounting for a constant modulus constraint as well as a similarity constraint involving a known radar waveform with some desired properties.

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.

Energy Efficient Dual-Functional Radar-Communication: Rate-Splitting Multiple Access, Low-Resolution DACs, and RF Chain Selection

It is demonstrated by numerical results that Rate Splitting Multiple Access achieves an improved energy-efficiency by employing a smaller number of RF chains compared to Space Division Multiple Access, owing to its generalized structure and improved interference management capabilities.