Conceitos essenciais
The proposed scheme can consistently ensure a sensing success rate of 100% for different network setups with a satisfactory fairness among all communication users.
Resumo
The paper presents a distributed implementation for integrated sensing and communication (ISAC) backed by a cell-free massive MIMO (CF-mMIMO) architecture. The APs can switch between communication and sensing modes, and adjust their transmit power based on the network settings and sensing and communication operations' requirements.
Key highlights:
- The authors derive closed-form expressions for the spectral efficiency (SE) of the communication users and the mainlobe-to-average-sidelobe ratio (MASR) of the sensing zones.
- A joint operation mode selection and power control design problem is formulated to maximize the SE fairness among the users, while ensuring specific levels of MASR for sensing zones.
- A low-complexity design is proposed, where AP mode selection is determined through a greedy algorithm and then power control is designed based on this chosen mode.
- Numerical results show that the proposed joint algorithm can provide noticeable fairness among the users, while ensuring successful sensing performance for all sensing zones. The greedy algorithm also achieves an acceptable level of success in the sensing rate.
Estatísticas
The authors derive closed-form expressions for the spectral efficiency (SE) of the communication users and the mainlobe-to-average-sidelobe ratio (MASR) of the sensing zones.
The authors formulate a joint operation mode selection and power control design problem to maximize the SE fairness among the users, while ensuring specific levels of MASR for sensing zones.
Citações
"The proposed scheme can consistently ensure a sensing success rate of 100% for different network setups with a satisfactory fairness among all communication users."