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

Rihan, Mohamed; Huang, Lei

doi:10.1109/tvt.2018.2872917

Cited by 100 publications

(40 citation statements)

References 35 publications

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“…Note that (15) is a fractional programming (FP) with the objective function being a sum of multiple ratios. Remark 1: The conventional alternating optimization approach usually decomposes the original nonconvex problem (14) into two subproblems in p r and p c , respectively [11]- [13], [32]- [34]. Although the subproblems are simpler than the original problem, they are still nonconvex and require convex relaxation techniques to solve.…”

Section: A Joint Designmentioning

confidence: 99%

Joint Power Allocation for Multicarrier Radar and Communication Coexistence

Wang

2020

2020 IEEE International Radar Conference (RADAR)

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In this paper, power allocation is examined for the coexistence of a radar and a communication system that employ multicarrier waveforms. We propose two designs for the considered spectrum sharing problem by maximizing the output signal-to-interference-plus-noise ratio (SINR) at the radar receiver while maintaining certain communication throughput and power constraints. The first is a joint design where the subchannel powers of both the radar and communication systems are jointly optimized. Since the resulting problem is highly nonconvex, we introduce a reformulation by combining the power variables of both systems into a single stacked variable, which allows us to bypass a conventional computationally intensive alternating optimization procedure. The resulting problem is then solved via a quadratic transform method along with a sequential convex programming (SCP) technique. The second is a unilateral design which optimizes the radar transmission power with fixed communication power. The unilateral design is suitable for cases where the communication system pre-exists while the radar occasionally joins the channel as a secondary user. The problem is solved by a Taylor expansion based iterative SCP procedure. Numerical results are presented to demonstrate the effectiveness of the proposed joint and unilateral designs in comparison with a subcarrier allocation based method.

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Section: A Joint Designmentioning

confidence: 99%

Joint Power Allocation for Multicarrier Radar and Communication Coexistence

Wang

2020

2020 IEEE International Radar Conference (RADAR)

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“…Recently, the IA techniques have been applied to effectively mitigate the ISI in the spectrum sharing radar and communication systems [ 39 , 40 , 41 ]. In [ 39 ], a joint pre-coder and post-coder design based on the IA principle was proposed for spectrum sharing between MIMO radar and MIMO communication systems and another joint transmit and receive beamformer design with a two-tier alternating optimization algorithm was proposed for spectrum shared MIMO radar and MIMO communication systems in [ 40 ]. An ergodic IA method for interference elimination in spectrum shared MIMO radar and multi-user MIMO communication systems was proposed in [ 41 ].…”

Section: Introductionmentioning

confidence: 99%

“…An ergodic IA method for interference elimination in spectrum shared MIMO radar and multi-user MIMO communication systems was proposed in [ 41 ]. However, the conventional IA-based ISI mitigation techniques in [ 39 , 40 , 41 ] considered only K -user interference channel in communication systems even though most commercial wireless communication systems consist of BSs and multiple user equipments (UEs) which are belong to a certain BS. In addition, the OIA technique has not been applied to spectrum-shared MIMO radar and MIMO wireless communication systems so far in the literature.…”

Section: Introductionmentioning

confidence: 99%

Opportunistic Interference Alignment for Spectrum Sharing between Radar and Communication Systems

Kim

Youn

Jung

2020

Sensors

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In this paper, we propose a novel opportunistic interference alignment technique for spectrum-shared radar and uplink cellular communication systems where both systems are equipped with multiple antennas. In the proposed OIA technique, the radar system sends its signal so that the radar signal is received into interference space at base stations (BSs) of the cellular system, while each uplink user (UE) generates its transmit beamforming vector so that communication signals are received within interference space at the radar receiver. Moreover, to achieve better sum-rate performance of the cellular communication system, the BS selects the UEs which results in sufficiently small interference to other cells for the uplink communication. With the proposed OIA technique, detection performance of the radar system is protected, while the communication system achieves satisfactory sum-rate performance. Through extensive computer simulations, we show that the performances of both radar and communication systems with the proposed technique significantly outperform a conventional null-space projection based spectrum sharing scheme.

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“…To eliminate the mutual interference, the authors in [4], [5] have explored the nullspace projection approach, with the main idea of projecting the radar signal into the null-space of the interference channels between the communication and radar systems. In [6]- [10], the authors have achieved peaceful coexistence through the careful design of the transmitter signal waveform of both radar and communication to eliminate the mutual interference between the two systems. Up to the best of our knowledge, this is the first trial to leverage energy harvesting (EH) concept to CRC systems (CRCEH).…”

Section: Introductionmentioning

confidence: 99%

Lens Antenna Arrays Aided Co-Existing Radar and Communication Systems With Energy Harvesting

Jiang

Zhang

et al. 2020

IEEE Access

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Coexisting radar and communication (CRC) systems on the same spectrum band have been recently recognized as a promising approach to solve the spectrum scarcity problem. Additionally, with the new requirements of achieving higher energy efficiency and restoring the consumed power, an initiative has been exploited to embed both information and energy within the same signal. Motivated by that, this paper presents a unified model to implement the concept of simultaneous wireless information and power transfer (SWIPT) in the coexistence environment between radar and communication systems. Specifically, we propose a novel energy harvesting based CRC model (CRCEH), in which the signals transmitted from both the communication and radar transmitters are precoded towards their conventional targets, communication receiver and radar targets respectively, as well as to an energy harvesting receiver. This system is capable of solving the spectrum scarcity problem as well as supporting low power devices with their energy requirements from the energy harvested at the energy harvesting receiver. The design problem is formulated as maximizing the radar detection probability subject to communication capacity and energy harvesting constraints. However, directly processing the data from the radar receiver requires high computational complexity and hardware costs. In order to circumvent this issue, this paper also proposes to deploy lens antenna array (LNA) to CRCEH system to sharply direct the signals to the energy harvesting receiver together with their respective destinations. Since LNA is able to focus the signal power on a subset of antennas, we may only deal with the data from the selective antenna subset associated with the maximal power. Numerical results show that the proposed method is able to achieve improved performance in terms of radar detection under communication capacity constraints compared to the conventional approaches besides the great benefit of harvesting the energy to feed some limited energy devices. INDEX TERMS Radar and communication coexistence, lens antenna array (LNA), antenna selection (AS), simultaneous wireless information and power transfer (SWIPT), fractional programming (FP). XIN HE received the B.Eng. degree in electronic information from Sichuan University, Chengdu, China, in 2007, the M.Eng. degree in information and communication from the

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

Cited by 100 publications

References 35 publications

Joint Power Allocation for Multicarrier Radar and Communication Coexistence

Joint Power Allocation for Multicarrier Radar and Communication Coexistence

Opportunistic Interference Alignment for Spectrum Sharing between Radar and Communication Systems

Lens Antenna Arrays Aided Co-Existing Radar and Communication Systems With Energy Harvesting

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