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

Liu, Fan; Masouros, Christos; Li, Ang; Ratnarajah, Tharmalingam; Zhou, Jing

doi:10.1109/tsp.2018.2833813

Cited by 199 publications

(112 citation statements)

References 44 publications

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“…Cui et al [67] have further proposed an interference alignment based transmit precoding design with special emphasis on the degree of freedom (DoF), under the scenario where multiple communication users coexist with multiple radar users. More recently, a constructive interference based beamforming design has been proposed for the coexistence scenario [68], where the known DL multi-user interference (MUI) is utilized for enhancing the useful signal power. As a result, the SINR of the DL users is significantly improved compared to that of [66] given the same transmit power budget.…”

Section: ) Optimization Based Designsmentioning

confidence: 99%

“…Remark 2: There might also exist targets that are neither significant scatterers in the communication channel nor of any interest to the DFRC BS. For notational convenience and following most of the seminal literature in the area [59], [62], [64], [66], [68], [98], we will not discuss such targets in detail and simply incorporate the generated interference in the noise term.…”

Section: System Modelmentioning

confidence: 99%

See 1 more Smart Citation

Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead

Liu

Masouros

Petropulu

et al. 2020

IEEE Trans. Commun.

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1,256

602

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For the sake of enhancing the exploitation of the permanently allocated, but potentially under-utilized spectral resources, sharing the frequency bands between radar and communication systems has attracted substantial attention. More explicitly, there is increasing demand for sharing both the frequency band and the hardware platform between these two functionalities, but naturally, its success critically hinges on highquality joint sensing and communications. In this paper, we firstly overview the application scenarios and the research progress in the area of communication and radar spectrum sharing, with particular emphasis on: 1) Radar-communication coexistence; 2) Dual-functional radar-communication (DFRC) systems. In the remainder of the paper, we propose a novel transceiver architecture and frame structure for a DFRC base station (BS) operating in the millimeter wave (mmWave) band, using the hybrid analog-digital (HAD) beamforming technique. We assume that the BS is serving a multi-antenna aided user equipment (UE) operating in a mmWave channel, which in the meantime actively detects multiple targets. Note that part of the targets also play the role of scatterers for the communication signal. Given this framework, we then propose a novel scheme for joint target search and communication channel estimation relying on the omni-directional pilot signals generated by the HAD structure. Given a fully-digital communication precoder and a desired radar transmit beampattern, we propose to design the analog and digital precoders under non-convex constant-modulus (CM) and power constraints, such that the BS can formulate narrow beams towards all the targets, while pre-equalizing the impact of the communication channel. Furthermore, we design an HAD receiver that can simultaneously process signals from the UE and echo waves from the targets. By tracking the angular variation of the targets, we show that it is possible to recover the target echoes and mitigate the potential interference imposed on the UE signals by invoking the successive interference cancellation (SIC) technique, even when the radar and communication signals share the equivalent signal-to-noise ratio (SNR). The feasibility and the efficiency of the proposed approaches in realizing DFRC are verified via numerical simulations. Finally, our discussions are summarized by overviewing the open problems in the research field of CRSS.

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Section: ) Optimization Based Designsmentioning

confidence: 99%

Section: System Modelmentioning

confidence: 99%

Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead

Liu

Masouros

Petropulu

et al. 2020

IEEE Trans. Commun.

Self Cite

1,256

602

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“…Here, L R is the total number of time samples used for the RS's communication. For the ease of derivation, hereinafter we assume that the time duration of the RS's waveform is the same as the communication signals with L R = L [11].…”

Section: System Modelmentioning

confidence: 99%

“…In this approach, the communication system is permitted to transmit signals if and only if the space and frequency spectra are not being utilised by the radar, hence prohibiting simultaneous operation of the radar and communication system. To alleviate this issue, LSA/ASA was studied in [4], [5], which allows for the channel state information (CSI) of both systems to be accessible to each other to an extent, where by techniques, such as null-space projection (NSP) of waveforms [10], beamforming [11], etc., can be utilised to mitigate interference at the coexisted systems. Furthermore, to increase waveform diversity and attain higher detection probability, the rotating radar was extended to multiple-input multiple-output (MIMO) radar in [14]- [17].…”

mentioning

confidence: 99%

Coexistence of MIMO Radar and FD MIMO Cellular Systems With QoS Considerations

Biswas

Singh

Taghizadeh

et al. 2018

IEEE Trans. Wireless Commun.

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In this work, the feasibility of spectrum sharing between a multiple-input multiple-output (MIMO) radar system (RS) and a MIMO cellular system (CS), comprising of a full duplex (FD) base station (BS) serving multiple downlink and uplink users at the same time and frequency is investigated. While a joint transceiver design technique at the CS's BS and users is proposed to maximise the probability of detection (PoD) of the MIMO RS, subject to constraints of quality of service (QoS) of users and transmit power at the CS, null-space based waveform projection is used to mitigate the interference from RS towards CS. In particular, the proposed technique optimises the performance of PoD of RS by maximising its lower bound, which is obtained by exploiting the monotonically increasing relationship of PoD and its non-centrality parameter. Numerical results show the utility of the proposed spectrum sharing framework, but with certain trade-offs in performance corresponding to RS's transmit power, RS's PoD, CS's residual self interference power at the FD BS and QoS of users.Index Terms-Multiple-input multiple-output (MIMO), fullduplex (FD), spectrum sharing, MIMO radar, quality-of-service (QoS), transceiver design, convex optimization.

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“…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%

A Dual-Function Radar Communication System Using Index Modulation

Huang

Liu

et al. 2019

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

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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]

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

Cited by 199 publications

References 44 publications

Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead

Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead

Coexistence of MIMO Radar and FD MIMO Cellular Systems With QoS Considerations

A Dual-Function Radar Communication System Using Index Modulation

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