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

Dizdar, Onur; Kaushik, Aryan; Clerckx, Bruno; Masouros, Christos

doi:10.1109/ojcoms.2022.3183950

Cited by 26 publications

(5 citation statements)

References 52 publications

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“…In the scope of this paper, we present optimal RF selection mechanism with hardware impairments and interference terms taken into account, similar fractional programing‐based RF chain selection procedures can also be extended with DAC‐bit selection in JRC systems such as in Ref. [43].…”

Section: Simulation Resultsmentioning

confidence: 99%

Towards 6G: Spectrally efficient joint radar and communication with radio frequency selection, interference and hardware impairments (invited paper)

Kaushik

Vlachos

Thompson

et al. 2022

IET Signal Processing

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The joint radar‐communication (JRC) system is envisioned as an emerging sixth generation (6G) technology to tackle spectral congestion and hardware limitations by jointly implementing the communication and radar sensing on the same hardware platform and using the common radio frequency (RF) resources. Joint radar‐communication systems with a multi‐antenna setup leads to higher degrees of freedom, and hybrid beamforming can be exploited to achieve lower hardware complexity than conventional fully digital systems. This paper aims to design a spectral efficiency maximisation approach for a 6G inclined JRC system with hybrid beamforming and multi‐antenna setup while considering the interference between communication and radar operations and hardware impairments in the system. The rate expressions for communication and radar operations are defined, and the joint spectral efficiency is maximised via optimising the number of RF chains using an efficient selection algorithm taking into account the interference of one operation to the other and system hardware distortion. The simulation results are shown to support the effectiveness of the proposed approach, and they are compared with that of existing fully digital and hybrid beamforming based baseline methods with fixed number of RF chains. The proposed approach also exhibits a desirable communication‐radar trade‐off in terms of spectral efficiency gains.

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Section: Simulation Resultsmentioning

confidence: 99%

Towards 6G: Spectrally efficient joint radar and communication with radio frequency selection, interference and hardware impairments (invited paper)

Kaushik

Vlachos

Thompson

et al. 2022

IET Signal Processing

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“…Complexity: The computational complexity order of the EM algorithm is mainly determined by the complexity of equation (20). The complexity order of ( 19) and ( 21) is only O(M ) while the number of the iterations which are required for convergence is usually very small (e.g., [10][11][12][13][14][15][16][17][18][19][20].…”

Section: B Alternating Minimizationmentioning

confidence: 99%

Millimeter Wave Channel Estimation for Lens based Hybrid MIMO with Low Resolution ADCs

Vlachos,

Kaushik,

Shakir

2023

2023 IEEE International Conference on Communications Workshops (ICC Workshops)

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The high path loss associated with millimeter wave (mmWave) frequency communication can be compensated by large scale antenna arrays such as multiple-input multipleoutput (MIMO) systems. The hybrid beamforming architecture which uses fewer radio frequency chains is implemented to reduce power consumption and hardware complexity, while still supporting multi-stream communication. We propose an efficient expectation-maximization (EM)-based mmWave channel estimator for a lens-based hybrid MIMO system with low resolution sampling at the receiver. The lens-based beamformer is investigated to provide increased antenna gain and reduced implementation complexity as the conventional beam selection network is excluded. Low resolution sampling at the analog-todigital converters is implemented for reduced power consumption. The proposed solution with a robust maximum a posteriori estimator based on the EM algorithm performs better than the conventional EM approach and minimum mean square error baselines in medium to high signal-to-noise ratio regions.

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“…Using the (7), the problem of precoder design for maximizing the mutual information is expressed as:…”

Section: B Problem Formulationmentioning

confidence: 99%

“…The JRC systems are classified into three categories [3]: i) communication-centric JRC implementing radar sensing as secondary, ii) radar-centric JRC integrating wireless communication as the secondary, and iii) joint JRC design that offers tunable trade-off between both the operations. For joint JRC designs, there have been recent technical advancements in terms of achieving energy and hardware efficient systems [7]- [9]. The JRC systems have been also investigated for optimal transmit waveform design with hardware efficient setups using low complexity analog architecture [10], and information embedding approaches for improved performance [11].…”

Section: Introductionmentioning

confidence: 99%

Covariance-Based Hybrid Beamforming for Spectrally Efficient Joint Radar-Communications

Vlachos,

Kaushik

2023

ICC 2023 - IEEE International Conference on Communications

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Joint radar-communications (JRC) is considered to be a vital technology in deploying the next generation systems, since its useful in decongestion of the radio frequency (RF) spectrum and utilising the same hardware resources for dual functions. Using JRC systems for dual function generates interference between both the operations which needs to be addressed in future standardization. Furthermore, JRC systems can be advanced by deploying hybrid beamforming which implements fewer number of RF chains than the number of transmit antennas. This paper designs a robust hybrid beamformer for minimizing the interference of a JRC transmitter via RF chain selection resulting into mutual information maximization. We consider a weighted mutual information for the dual function JRC system and implement a common analog beamformer for both the operations. The mutual information maximization problem is formulated which is nonconvex and difficult to solve. The problem is simplified to convex form and solved using Dinkelbach approximation abased fractional programming. The performance of the optimal RF selection based proposed approach is evaluated, compared with baselines and its effectiveness is inferred via numerical results.

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

Cited by 26 publications

References 52 publications

Towards 6G: Spectrally efficient joint radar and communication with radio frequency selection, interference and hardware impairments (invited paper)

Towards 6G: Spectrally efficient joint radar and communication with radio frequency selection, interference and hardware impairments (invited paper)

Millimeter Wave Channel Estimation for Lens based Hybrid MIMO with Low Resolution ADCs

Covariance-Based Hybrid Beamforming for Spectrally Efficient Joint Radar-Communications

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