Rotatable Antenna Assisted Mobile Edge Computing
Ji Wang, Hao Chen, Yixuan Li, Jun Zhang, Xingwang Li, Ming Zeng, Octavia A. Dobre

TL;DR
This paper explores a rotatable antenna system in mobile edge computing networks, optimizing various parameters to enhance computation rates and mitigate beam misalignment issues compared to fixed-antenna setups.
Contribution
It introduces a joint optimization framework for RA-assisted MEC, including novel algorithms for both dynamic and static rotation scenarios, improving network performance.
Findings
Significant performance gains over fixed-antenna MEC networks.
Effective mitigation of beam misalignment through RA rotation.
Enhanced spatial degrees of freedom improve computation rates.
Abstract
This paper investigates a rotatable antenna (RA) assisted mobile edge computing (MEC) network, where multiple users offload their computation tasks to an edge server equipped with an RA array under a time-division multiple access protocol. To maximize the weighted sum computation rate, we formulate a joint optimization problem over the RA rotation angles, time-slot allocation, transmit power, and local CPU frequencies. Due to the non-convex nature of the formulated problem, a scenario-adaptive hybrid optimization algorithm is proposed. Specifically, for the dynamic rotating scenario, where RAs can flexibly reorient within each time slot, we derive closed-form optimal antenna pointing vectors to enable a low-complexity sequential solution. In contrast, for the static rotating scenario where RAs maintain a unified orientation, we develop an alternating optimization framework, where the…
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Taxonomy
TopicsAdvanced Wireless Communication Technologies · IoT and Edge/Fog Computing · Advanced MIMO Systems Optimization
