Integrated Sensing and Communication With Massive MIMO: A Unified Tensor Approach for Channel and Target Parameter Estimation

Benefitting from the vast spatial degrees of freedom, the amalgamation of integrated sensing and communication (ISAC) and massive multiple-input multiple-output (MIMO) is expected to simultaneously improve spectral and energy efficiencies as well as the sensing capability. However, a large number of antennas deployed in massive MIMO-ISAC raises critical challenges in acquiring both accurate channel state information and target parameter information. To overcome these two challenges with a unified framework, we first analyze their underlying system models and then propose a novel tensor-based approach that addresses both the channel estimation and target sensing problems. Specifically, by parameterizing the…

• NN
  National Natural Science Foundation of China

  Awards: 62101152, 62171163, 62201266, 62371444, 62371418
• NS
  Natural Science Foundation of Jiangsu Province

  Award: BK20210335
• FR
  Fundamental Research Funds for the Central Universities

  Award: 226-2023-00012