Joint Beamforming and Offloading Design for Integrated Sensing, Communication and Computation System
CoRR(2024)
摘要
Mobile edge computing (MEC) is powerful to alleviate the heavy computing
tasks in integrated sensing and communication (ISAC) systems. In this paper, we
investigate joint beamforming and offloading design in a three-tier integrated
sensing, communication and computation (ISCC) framework comprising one cloud
server, multiple mobile edge servers, and multiple terminals. While executing
sensing tasks, the user terminals can optionally offload sensing data to either
MEC server or cloud servers. To minimize the execution latency, we jointly
optimize the transmit beamforming matrices and offloading decision variables
under the constraint of sensing performance. An alternating optimization
algorithm based on multidimensional fractional programming is proposed to
tackle the non-convex problem. Simulation results demonstrates the superiority
of the proposed mechanism in terms of convergence and task execution latency
reduction, compared with the state-of-the-art two-tier ISCC framework.
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