Spectral Coexistence of MIMO Radar and MIMO Cellular System

IEEE Trans. Signal Process.

Masouros

et al. 2018

199

103

Abstract-We propose a novel approach to enable the coexistence between Multi-Input-Multi-Output (MIMO) radar and downlink multi-user Multi-Input-Single-Output (MU-MISO) communication system. By exploiting the constructive multi-user interference (MUI), the proposed approach trades-off useful MUI power for reducing the transmit power, to obtain a power efficient transmission. This paper focuses on two optimization problems: a) Transmit power minimization at the base station (BS) while guaranteeing the receive signal-to-interference-plus-noise ratio (SINR) level of downlink users and the interference-to-noise ratio (INR) level to radar; b) Minimization of the interference from BS to radar for a given requirement of downlink SINR and transmit power budget. To reduce the computational overhead of the proposed scheme in practice, an algorithm based on gradient projection is designed to solve the power minimization problem. In addition, we investigate the trade-off between the performance of radar and communication, and analytically derive the key metrics for MIMO radar in the presence of the interference from the BS. Finally, a robust power minimization problem is formulated to ensure the effectiveness of the proposed method in the case of imperfect Channel State Information (CSI). Numerical results show that the proposed method achieves a significant power saving compared to conventional approaches, while obtaining a favorable performance-complexity trade-off.

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

IEEE Trans. Signal Process.

Masouros

et al. 2018

199

103

“…Multipleinput multiple-output (MIMO) radar systems in which a subset of the antenna array is allocated to radar and the rest to communications were studied in [13], along with the setup in which both functionalities utilize all the antennas. Methods for treating the effect of spectrally interfering separate radar and communication systems were studied in [14], [15], while [16] analyzed the effect of radar interference on communication systems. Frequency allocation among radar and communications was considered in [17].…”

Section: Introductionmentioning

confidence: 99%

“…MAJoRCom utilizes the selections of carrier frequencies and their allocation among the antenna elements of CAESAR to convey digital information in a combination of frequency index modulation [30] and spatial index modulation [29]. Unlike previously proposed DFRC systems [10]- [14], [17], [20], which use dedicated independent waveforms and/or antennas for communication, in MAJoRCom the ability to convey information is an inherent byproduct of the radar scheme. Consequently, communication transmission is naturally obtained from the radar design, and both functionalities coexist without cross interference.…”

Section: Introductionmentioning

confidence: 99%

A Dual-Function Radar Communication System Using Index Modulation

Huang

2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

et al. 2019

Dual-function radar communication (DFRC) systems implement both sensing and communication using the same hardware. Such schemes are often more efficient in terms of size, power, and cost, over using distinct radar and communication systems. Since these functionalities share resources such as spectrum, power, and antennas, DFRC methods typically entail some degradation in both radar and communication performance. In this work we propose a DFRC scheme based on the carrier agile phased array radar (CAESAR), which combines frequency and spatial agility. The proposed DFRC system, referred to as multi-carrier agile joint radar communication (MAJoRCom), exploits the inherent spatial and spectral randomness of CAESAR to convey digital messages in the form of index modulation. The resulting communication scheme naturally coexists with the radar functionality, and thus does not come at the cost of reduced radar performance. We analyze the performance of MAJoRCom, quantifying its achievable bit rate. In addition, we develop a low complexity decoder and a codebook design approach, which simplify the recovery of the communicated bits. Our numerical results demonstrate that MAJoRCom is capable of achieving a bit rate which is comparable to utilizing independent communication modules without affecting the radar performance, and that our proposed low-complexity decoder allows the receiver to reliably recover the transmitted symbols with an affordable computational burden. arXiv:1909.04223v1 [eess.SP]

“…With the rapid growth of the wireless communication industry, the requirement for extra spectrum resources is on the rise, which motivates the network providers and the policy regulators to seek the chance for reusing frequency bands that are currently under-utilized by the radar systems [1]. To this end, the research of radar-communication coexistence (RCC) has recently attracted considerable attention from both academia and industry [2], [3]. While various techniques have been proposed for realizing RCC, one crucial drawback is that most of these approaches require frequent cooperation between radar and communication systems, which might be difficult to be implemented in practice.…”

Section: Introductionmentioning

confidence: 99%

Enhancing the Physical Layer Security of Dual-Functional Radar Communication Systems

2019 IEEE Global Communications Conference (GLOBECOM)

Masouros

2019

Dual-functional radar communication (DFRC) system has recently attracted significant academic attentions as an enabling solution for realizing radar-communication spectrum sharing. During the DFRC transmission, however, the critical information could be leaked to the targets, which might be potential eavesdroppers. Therefore, the physical layer security has to be taken into consideration. In this paper, fractional programming (FP) problems are formulated to minimize the signal-to-interference-plus-noise ratio (SINR) at targets under the constraints for the SINR of legitimate users. By doing so, the secrecy rate of communication can be guaranteed. We first assume that communication CSI and the angle of the target are precisely known. After that, problem is extended to the cases with uncertainty in the target's location, which indicates that the target might appear in a certain angular interval. Finally, numerical results have been provided to validate the effectiveness of the proposed method showing that it is viable to guarantee both radar and secrecy communication performances by using the techniques we propose.Index Terms-DFRC system, physical layer security, FP problem, secrecy rate.