The field of wireless communication is moving towards integrated sensing and communication (ISAC) systems, which aim to provide a performance boost in both perception and wireless connectivity. Recent research has focused on developing new strategies for cooperative base station assignment and resource allocation, energy efficiency optimization, and spatial correlation analysis for various antenna systems. Notably, the use of massive multiple-input multiple-output (mMIMO) techniques and orthogonal frequency-division multiplexing settings has shown significant performance improvements. Additionally, researchers have explored the benefits of employing envelope-level correlation matrices and developing new channel modeling approaches for fluid antenna systems.

Some noteworthy papers in this area include: The paper on Cooperative Base Station Assignment and Resource Allocation for 6G ISAC Network, which proposes a heuristic alternating optimization algorithm to obtain an effective sub-optimal solution for the non-convex optimization problem. The paper on Energy Efficiency for Massive MIMO Integrated Sensing and Communication Systems, which derives closed-form expressions for the achievable communication rate and Cramér-Rao bounds and develops an efficient iterative algorithm to maximize the system's energy efficiency. The paper on Chameleon, which presents a novel framework for integrated sensing and communication in mmWave networks, achieving multi-user communication with a sum data rate of up to 0.80 Gbps and producing a 31x31-point 2D imaging within just 0.875 ms.