Robust OFDM Shared Waveform Design and Resource Allocation for the Integrated Sensing and Communication System

With the rapid development of wireless communications, integrated sensing and communication (ISAC) has attracted considerable attentions, which enables both data transmission and target detection simultaneously by spectrum sharing. The adaptive Orthogonal Frequency Division Multiplexing (OFDM) shared waveform design can dynamically adjust power allocation based on the preferences of the radar or communication system, which achieves optimal ISAC performance with given static channel conditions. For the perfect channel state information (CSI) is hard to obtain due to the feedback errors, we then propose a robust OFDM shared waveform design, which achieves better performance under the worst-case channel states. The Karush-Kuhn-Tucker (KKT) conditions are formulated and an improved greedy algorithm is introduced to adjust the bit and power allocation on each subcarrier adaptively. Theoretical analysis and simulation results verify the effectiveness of the proposed algorithm for the joint optimization of both radar and communication systems.