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Temporal-Assisted Dynamic Beampattern Optimization in Integrated Sensing and Communication Systems

Shengcai Zhou, Luping Xiang, Kun Yang

Abstract

In this paper, an integrated sensing and communication (ISAC) system is investigated. Initially, we introduce a design criterion wherein sensing data acquired from the preceding time slot is employed for instantaneous optimal beamforming in the succeeding time slot, aiming to enhance the communication rate. Subsequently, the development of optimal beamforming is addressed, and a high-caliber suboptimal resolution is derived utilizing successive convex approximation (SCA) techniques combined with the iterative rank minimization (IRM) methodology. Our evaluations, grounded on numerical analyses, reveal that the communication rate of the introduced beamforming strategy surpasses that of conventional omnidirectional sensing and pilot based approaches.

Temporal-Assisted Dynamic Beampattern Optimization in Integrated Sensing and Communication Systems

Abstract

In this paper, an integrated sensing and communication (ISAC) system is investigated. Initially, we introduce a design criterion wherein sensing data acquired from the preceding time slot is employed for instantaneous optimal beamforming in the succeeding time slot, aiming to enhance the communication rate. Subsequently, the development of optimal beamforming is addressed, and a high-caliber suboptimal resolution is derived utilizing successive convex approximation (SCA) techniques combined with the iterative rank minimization (IRM) methodology. Our evaluations, grounded on numerical analyses, reveal that the communication rate of the introduced beamforming strategy surpasses that of conventional omnidirectional sensing and pilot based approaches.
Paper Structure (13 sections, 27 equations, 4 figures, 2 tables)

This paper contains 13 sections, 27 equations, 4 figures, 2 tables.

Table of Contents

  1. Introduction
  2. System Model
  3. Omnidirectional Phase
  4. Communication Process
  5. Radar Process
  6. Directional Phase
  7. Communication Process
  8. Radar Process
  9. Problem Formulation and Solution
  10. Problem Formulation
  11. Problem Solution
  12. Simulation Results
  13. Conclusion

Figures (4)

  • Figure 1: System model.
  • Figure 2: Proposed ISAC protocol versus the traditional omnidirectional sensing-based method and the pilot-based approach.
  • Figure 3: Beampattern at different time slots.
  • Figure 4: Communication rate performance of different number of antennas.