Interference Mitigation for Network-Level ISAC: An Optimization Perspective
CoRR(2024)
摘要
Future wireless networks are envisioned to simultaneously provide high
data-rate communication and ubiquitous environment-aware services for numerous
users. One promising approach to meet this demand is to employ network-level
integrated sensing and communications (ISAC) by jointly designing the signal
processing and resource allocation over the entire network. However, to unleash
the full potential of network-level ISAC, some critical challenges must be
tackled. Among them, interference management is one of the most significant
ones. In this article, we build up a bridge between interference mitigation
techniques and the corresponding optimization methods, which facilitates
efficient interference mitigation in network-level ISAC systems. In particular,
we first identify several types of interference in network-level ISAC systems,
including self-interference, mutual interference, crosstalk, clutter, and
multiuser interference. Then, we present several promising techniques that can
be utilized to suppress specific types of interference. For each type of
interference, we discuss the corresponding problem formulation and identify the
associated optimization methods. Moreover, to illustrate the effectiveness of
the proposed interference mitigation techniques, two concrete network-level
ISAC systems, namely coordinated cellular network-based and distributed
antenna-based ISAC systems, are investigated from interference management
perspective. Experiment results indicate that it is beneficial to
collaboratively employ different interference mitigation techniques and
leverage the network structure to achieve the full potential of network-level
ISAC. Finally, we highlight several promising future research directions for
the design of ISAC systems.
更多查看译文
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要