Joint Optimization of Radar and Communications Performance in 6G Cellular Systems

Abstract

Dual functional radar communication (DFRC) is a promising approach that provides a viable solution for the problem of spectrum sharing between communication and radar applications. This paper studies a DFRC system with multiple communication users (CUs) and a radar target. The goal is to devise beamforming vectors at the DFRC transmitter in such a way that the radar received signal-to-clutter-plus-noise-ratio (SCNR) is maximized while satisfying the minimum data rate requirements of the individual CUs. With regard to clutter, we consider two scenarios based on the possibility of clutter removal. Even though the formulated optimization problems are nonconvex, we present efficient algorithms to solve them using convex optimization techniques. Specifically, we use duality theory and Karush-Kuhn-Tucker conditions to show the underlying structure of optimal transmit precoders. In the proposed solution, it is observed that there is no need to transmit separate probing signal for the radar detection in both the considered scenarios. This results in reduction in the number of optimization variables in the problem. Moreover, we make use of the asymptotic equivalence between Toeplitz matrices and Circulant matrices to further reduce the complexity of the proposed algorithm. Finally, numerical results are presented to demonstrate the effectiveness of the proposed algorithms.

RadRCom: A Relay-Assisted Radar Communication System Design Framework

“…The received signal at the DN is represented in (3). The estimated data is represented as xo t = W d r d .…”

“…The remarkable growth in tele-traffic over the past decade has propelled the advancement of next-generation cellular systems, particularly the fifth generation (5G) and beyond [1]- [3]. This surge in demand necessitates a larger spectrum allocation for communication systems, with spectrum sharing among multiple transceiver systems becoming commonplace.…”

“…A dual function radar and communication system has been proposed in [14], where the same waveform will be used for radar in main lobe and information bearing communication system in side-lobe. A comprehensive RadCom work is proposed for future sixth generation (6G) in [3]. The work in [15] proposes a massage passing algorithm for efficient detection in communication system sharing radar spectrum.…”

RIS-Assisted MIMO OFDM Dual-Function Radar-Communication Based on Mutual Information Optimization

“…Dual-Function Radar-Communication (DFRC) strategies emphasize the design of the integrated systems capable of executing simultaneous wireless communication and remote sensing tasks and found applications in many areas [4,5]. The features of the DFRC system include compact system size, augmented operational efficiency, and decreased power consumption and improved spectral effectiveness [4,[6][7][8][9].…”

A Wireless Channel Equalization Method Based on Hybrid Whale Optimization: For Constant Modulus Blind Equalization System

“…These two methods need to continuously send training sequences to adapt to the variations in the channel in the presence of time-varying channels, which leads to increased bandwidth consumption and reduced channel utilization [9]. For applications that require high communication efficiency, such as wireless sensor networks, mobile communication systems and radar systems [10][11][12], the transmission of training sequences may introduce delays in information delivery and affect the control from the transmitter to the receiver. Due to the strong bandwidth constraints and strict requirements for real-time control of components in such applications, relying on training-based equalization techniques cannot guarantee real-time information transmission at the receiver in high-speed mobile scenarios, and it may result in decreased communication efficiency due to limited available bandwidth.…”