Inner Bounds on Performance of Radar and Communications Co-Existence

By Alex Rajan Chiriyath, Bryan Paul, Garry M. Jacyna, Daniel W. Bliss. IEEE Transactions on Signal Processing, 2016

412 citations recorded by the source corpus.

Subfields: Aerospace Engineering, Computer Networks and Communications, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/b552d64d8fcbbdc1a15789b039579e2590565eb7

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Citations in the corpus

Power Minimization-Based Robust OFDM Radar Waveform Design for Radar and Communication Systems in Coexistence (2018, background): “More recently, the novel bounds on performance of the joint system are defined in [15].”
Joint Radar and Communication Design: Applications, State-of-the-Art, and the Road Ahead (2019, methodology): “In addition to the above definition, the authors of [72] have considered the mutual information between the radar and the target.”
The Integrated Sensing and Communication Revolution for 6G: Vision, Techniques, and Applications (2024, neutral): “…measures, in which sense the optimization problem can be modeled as where the estimation rate R s is introduced as an analog to the communication rate R c , which measures the reduction in entropy of the target states after estimation [86]; and w c and w s denote the weights for S&C performance.”
Convergent Communication, Sensing and Localization in 6G Systems: An Overview of Technologies, Opportunities and Challenges (2021, background): “For instance, in [89] the authors derive some fundamental theoretical bounds for the co-existence of radar and communications, and in [90] ana-”
MU-MIMO Communications With MIMO Radar: From Co-Existence to Joint Transmission (2017, methodology): “Aiming for ﬁnding the fundamental performance bounds of a joint RadCom system, an information theoretical framework has been presented in [16], [17] to unify radar and communications with the help of rate distortion theory.”
Cramér-Rao Bound Optimization for Joint Radar-Communication Beamforming (2021, methodology): “The integration between radar sensors and communication systems has received considerable attention from both industry and academia, motivating research on Dual-functional Radar-Communication (DFRC) Systems [7]–[16].”
Integrated Sensing and Communications: Toward Dual-Functional Wireless Networks for 6G and Beyond (2021, methodology): “communication rate and estimation rate can be achieved via schemes of isolated sub-band allocation, successive interference cancellation (SIC), water filling, and Fisher Information optimization schemes [123].”
A Survey on Fundamental Limits of Integrated Sensing and Communication (2021, background): “1) Estimation-Information-Rate Induced Approach: The estimation information rate was introduced by [70] and represents an approximate mutual information between the observation Y and the true parameter θ.”
Radar-Communications Convergence: Coexistence, Cooperation, and Co-Design (2017, background): “In [4], the metric was defined in more detail, along with additional inner bounds on joint-radar communications performance.”
Evolution of NOMA Toward Next Generation Multiple Access (NGMA) for 6G (2021, methodology): “Another idea for NOMA-ISaC systems is to use NOMA for controlling the signal and radar power, such that the prediction accuracy requirement can be relaxed as discussed in [128].”
Survey of RF Communications and Sensing Convergence Research (2017, background): “An example of a system exploiting this topology is known as the multiuser detection radar (MUDR), explored in [2] and [13], and other related works.”
Twelve Scientific Challenges for 6G: Rethinking the Foundations of Communications Theory (2022, background): “derived in [93] allow us to assess the performance of radar and communication co-existence, i.”
Toward Dual-functional Radar-Communication Systems: Optimal Waveform Design (2017, background): “Recent information theoretical work has shown great potential [19], [20], but it remains to be seen what benefits will bring its implementation in practice.”