Spectral Coexistence for Power-Harvested Multiuser Communication System With Radar

• Published in: IEEE transactions on vehicular technology Vol. 73; no. 8; pp. 12258 - 12263
• Main Authors: Qian, Junhui, Zhang, Jinru, Xu, Peng, Fu, Ning, Wang, Shiyuan
• Format: Journal Article
• Language: English
• Published: New York IEEE 01.08.2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Clutter; Co-design; Communications systems; Constraints; Convexity; Covariance matrices; Covariance matrix; Design optimization; double quadratic form optimizations; MIMO; Optimization; Quadratic forms; Radar; Radar antennas; Signal to noise ratio; spectral coexistence; Vectors
• ISSN: 0018-9545; 1939-9359
• DOI: 10.1109/TVT.2024.3377892

In this paper, a co-design scheme for simultaneous optimization of the performance of radar and communication system in spectrum coexistence scenario is developed. Considering the possible information mismatch, the interference covariance matrices are reconstructed firstly. Then we adopt the signal-to-interference-plus noise ratio (SINR) on the radar side and the harvested power on the communication side as the performance indicators of the two systems, and obtain a weighted non-convex optimization formulation under the power constraints and similarity constraint. A sequential iterative optimization framework is presented to transform the non-convex problem into several single-variable subproblems, which exploits an alternating iterative procedure that combines Minorization-Maximization (MM) framework and double quadratic form optimizations with separable design (whose solution can be provided in closed-form). Finally, the merits of the proposed design are verified by simulation results.