Joint Sensing and Communication for 6G: Waveform Design and Performance Analysis
Dr. Fan Liu, Prof. Christos Masouros
University College London
Abstract
We present a unified waveform design for joint sensing and communication (JSAC) in 6G systems. The proposed OFDM-based waveform simultaneously serves communication users and performs high-resolution radar sensing. Our optimization framework balances communication throughput and sensing accuracy through a tunable parameter. Results show that JSAC achieves 95% of dedicated communication throughput while providing radar-grade sensing with 10 cm range resolution and 0.1 m/s velocity resolution.
AI Summary
- Unified OFDM waveform for simultaneous communication and radar sensing in 6G.
- Achieves 95% of dedicated communication throughput with radar-grade sensing.
- 10 cm range resolution and 0.1 m/s velocity resolution demonstrated.
- Tunable framework balances communication and sensing performance.
Key Findings
- 1OFDM subcarrier allocation can be optimized for dual functionality with minimal tradeoff.
- 2Sensing performance improves with wider bandwidth allocated to 6G systems.
- 3Multi-target sensing is feasible even with heavy communication traffic.
Industry Implications
Enables 6G to serve as a pervasive sensing infrastructure.
Supports autonomous driving, gesture recognition, and environmental monitoring.
Reduces spectrum and hardware costs by combining two functions.
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