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Air Computing: A Survey on a New Generation Computation Paradigm in 6G Wireless Networks

Baris Yamansavascilar, Atay Ozgovde, Cem Ersoy

TL;DR

Air computing defines a 6G-driven, 3D computation paradigm that harmonizes terrestrial MEC with aerial layers (LAP, HAP, LEO) to meet ultra-low latency, high-data-rate, and mobile requirements. It contrasts with traditional edge computing by enabling vertical offloading, dynamic resource provisioning, and cell-less coverage across multiple layers, supported by architectures such as hierarchical, direct-access, and hybrid designs. The paper surveys use cases from natural disasters to MAR, analyzes core components (edge, LAP/HAP, LEO), and reviews advances in task offloading, content caching, trajectory planning, and energy efficiency, while outlining AI integration (DRL, FL) and SAGIN coordination. It also highlights key challenges and future directions in architecture, request management, AI deployment, protocols, energy, and regulatory aspects, aiming to guide research towards practical 6G implementations with real-time, scalable, and resilient air-assisted computation.

Abstract

There is an ever-growing race between what novel applications demand from the infrastructure and what the continuous technological breakthroughs bring in. Especially after the proliferation of smart devices and diverse IoT requirements, we observe the dominance of cutting-edge applications with ever-increased user expectations in terms of mobility, pervasiveness, and real-time response. Over the years, to meet the requirements of those applications, cloud computing provides the necessary capacity for computation, while edge computing ensures low latency. However, these two essential solutions would be insufficient for the next-generation applications since computational and communicational bottlenecks are inevitable due to the highly dynamic load. Therefore, a 3D networking structure using different air layers including Low Altitude Platforms, High Altitude Platforms, and Low Earth Orbits in a harmonized manner for both urban and rural areas should be applied to satisfy the requirements of the dynamic environment. In this perspective, we put forward a novel, next-generation paradigm called Air Computing that presents a dynamic, responsive, and high-resolution computation and communication environment for all spectrum of applications using the 6G Wireless Networks as the fundamental communication system. In this survey, we define the components of air computing, investigate its architecture in detail, and discuss its essential use cases and the advantages it brings for next-generation application scenarios. We provide a detailed and technical overview of the benefits and challenges of air computing as a novel paradigm and spot the important future research directions.

Air Computing: A Survey on a New Generation Computation Paradigm in 6G Wireless Networks

TL;DR

Air computing defines a 6G-driven, 3D computation paradigm that harmonizes terrestrial MEC with aerial layers (LAP, HAP, LEO) to meet ultra-low latency, high-data-rate, and mobile requirements. It contrasts with traditional edge computing by enabling vertical offloading, dynamic resource provisioning, and cell-less coverage across multiple layers, supported by architectures such as hierarchical, direct-access, and hybrid designs. The paper surveys use cases from natural disasters to MAR, analyzes core components (edge, LAP/HAP, LEO), and reviews advances in task offloading, content caching, trajectory planning, and energy efficiency, while outlining AI integration (DRL, FL) and SAGIN coordination. It also highlights key challenges and future directions in architecture, request management, AI deployment, protocols, energy, and regulatory aspects, aiming to guide research towards practical 6G implementations with real-time, scalable, and resilient air-assisted computation.

Abstract

There is an ever-growing race between what novel applications demand from the infrastructure and what the continuous technological breakthroughs bring in. Especially after the proliferation of smart devices and diverse IoT requirements, we observe the dominance of cutting-edge applications with ever-increased user expectations in terms of mobility, pervasiveness, and real-time response. Over the years, to meet the requirements of those applications, cloud computing provides the necessary capacity for computation, while edge computing ensures low latency. However, these two essential solutions would be insufficient for the next-generation applications since computational and communicational bottlenecks are inevitable due to the highly dynamic load. Therefore, a 3D networking structure using different air layers including Low Altitude Platforms, High Altitude Platforms, and Low Earth Orbits in a harmonized manner for both urban and rural areas should be applied to satisfy the requirements of the dynamic environment. In this perspective, we put forward a novel, next-generation paradigm called Air Computing that presents a dynamic, responsive, and high-resolution computation and communication environment for all spectrum of applications using the 6G Wireless Networks as the fundamental communication system. In this survey, we define the components of air computing, investigate its architecture in detail, and discuss its essential use cases and the advantages it brings for next-generation application scenarios. We provide a detailed and technical overview of the benefits and challenges of air computing as a novel paradigm and spot the important future research directions.
Paper Structure (46 sections, 12 figures, 3 tables)

This paper contains 46 sections, 12 figures, 3 tables.

Figures (12)

  • Figure 1: Air Computing Architecture.
  • Figure 2: Edge Computing.
  • Figure 3: Direction of the computational task offloading in air and edge computing.
  • Figure 4: Subtasks of a single task can be processed by different components of an air computing environment.
  • Figure 5: Air components can be replaced in the environment dynamically based on the changing user demands in particular locations.
  • ...and 7 more figures