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• W4315926993 endingPage "19968" @default.
• W4315926993 startingPage "19941" @default.
• W4315926993 abstract "Non terrestrial networks (NTN) involving ’in the sky’ objects such as low-earth orbit satellites, high altitude platform systems (HAPs) and Unmanned Aerial Vehicles (UAVs) are expected to be integral components of next generation cellular systems. With the deployment of 5G services and beyond, NTNs are leveraged to assist as aerial base stations in providing ubiquitous network connectivity and service to ground users or be deployed as aerial users connected to the cellular network. NTN-aided wireless communication offers multiple benefits such as mobility, flexibility, resistance to ground physical attacks and wide coverage. However, due to their limited resources and the current design of terrestrial cellular systems that do not account for aerial users, and other restrictions such as service requirements, limited available power and storage resources on high-throughput satellites, resource allocation, location of the high altitude platform base station and the flight trajectory of the UAVs need to be intelligently controlled to satisfy various objectives both from an aerial base station and overall network perspectives. To achieve this, many works have explored Reinforcement Learning (RL) techniques to allow aerial platforms in non-terrestrial networks to learn from past observations and achieve some optimal control policy. In this paper and differently from prior surveys, we contribute a comprehensive review of the control objectives required by non-terrestrial platforms that have been solved using RL formulations. We provide an up-to-date overview of the latest applications of RL techniques for different NTN-aided wireless communication aspects. The survey focuses on Markov Decision Process (MDP) formulations in terms of states, actions, and rewards. We synthesize a taxonomy from the surveyed literature and provide a comprehensive representation of the current usages of RL in NTN-aided wireless communications. A qualitative analysis of the level of realism achieved in the works presented in the literature is provided based on several factors that pertain to the simulation environment, station deployment setting, wireless channel assumption, and energy considerations. We also curate a list of challenges that remain to be considered by the research community in order to achieve more efficient deployments and close the simulation-to-reality gap." @default.
• W4315926993 created "2023-01-14" @default.
• W4315926993 creator A5008382926 @default.
• W4315926993 creator A5026046839 @default.
• W4315926993 creator A5037533418 @default.
• W4315926993 creator A5071725114 @default.
• W4315926993 date "2023-01-01" @default.
• W4315926993 modified "2023-09-27" @default.
• W4315926993 title "Reinforcement Learning in the Sky: A Survey on Enabling Intelligence in NTN-Based Communications" @default.
• W4315926993 cites W1993918491 @default.
• W4315926993 cites W2092507086 @default.
• W4315926993 cites W2114806388 @default.
• W4315926993 cites W2119007372 @default.
• W4315926993 cites W2214621252 @default.
• W4315926993 cites W2268751503 @default.
• W4315926993 cites W2285198146 @default.
• W4315926993 cites W2327622231 @default.
• W4315926993 cites W2398537112 @default.
• W4315926993 cites W2522615148 @default.
• W4315926993 cites W2738731084 @default.
• W4315926993 cites W2742865754 @default.
• W4315926993 cites W2758604054 @default.
• W4315926993 cites W2763830955 @default.
• W4315926993 cites W2766224648 @default.
• W4315926993 cites W2766889259 @default.
• W4315926993 cites W2767846463 @default.
• W4315926993 cites W2776055286 @default.
• W4315926993 cites W2784308154 @default.
• W4315926993 cites W2807554399 @default.
• W4315926993 cites W2807655913 @default.
• W4315926993 cites W2808115698 @default.
• W4315926993 cites W2863849698 @default.
• W4315926993 cites W2885423658 @default.
• W4315926993 cites W2886509985 @default.
• W4315926993 cites W2887784286 @default.
• W4315926993 cites W2889655092 @default.
• W4315926993 cites W2891609133 @default.
• W4315926993 cites W2898035736 @default.
• W4315926993 cites W2902160827 @default.
• W4315926993 cites W2902769219 @default.
• W4315926993 cites W2903528516 @default.
• W4315926993 cites W2904826931 @default.
• W4315926993 cites W2920312006 @default.
• W4315926993 cites W2922582638 @default.
• W4315926993 cites W2925554975 @default.
• W4315926993 cites W2936274856 @default.
• W4315926993 cites W2947073418 @default.
• W4315926993 cites W2947871674 @default.
• W4315926993 cites W2950373453 @default.
• W4315926993 cites W2951054802 @default.
• W4315926993 cites W2951314760 @default.
• W4315926993 cites W2952841640 @default.
• W4315926993 cites W2959943703 @default.
• W4315926993 cites W2962141687 @default.
• W4315926993 cites W2962691117 @default.
• W4315926993 cites W2962726494 @default.
• W4315926993 cites W2962872206 @default.
• W4315926993 cites W2963085502 @default.
• W4315926993 cites W2963327793 @default.
• W4315926993 cites W2963390419 @default.
• W4315926993 cites W2963569053 @default.
• W4315926993 cites W2963899602 @default.
• W4315926993 cites W2964005248 @default.
• W4315926993 cites W2969424089 @default.
• W4315926993 cites W2969525674 @default.
• W4315926993 cites W2981460880 @default.
• W4315926993 cites W2981648048 @default.
• W4315926993 cites W2988592481 @default.
• W4315926993 cites W2990204812 @default.
• W4315926993 cites W2990747576 @default.
• W4315926993 cites W2994008524 @default.
• W4315926993 cites W2998280308 @default.
• W4315926993 cites W2998582523 @default.
• W4315926993 cites W3001321893 @default.
• W4315926993 cites W3006182894 @default.
• W4315926993 cites W3007091509 @default.
• W4315926993 cites W3009353939 @default.
• W4315926993 cites W3009360357 @default.
• W4315926993 cites W3009836639 @default.
• W4315926993 cites W3010601625 @default.
• W4315926993 cites W3011766871 @default.
• W4315926993 cites W3011895811 @default.
• W4315926993 cites W3012106073 @default.
• W4315926993 cites W3013960924 @default.
• W4315926993 cites W3016298255 @default.
• W4315926993 cites W3017275226 @default.
• W4315926993 cites W3023161348 @default.
• W4315926993 cites W3023850691 @default.
• W4315926993 cites W3024364604 @default.
• W4315926993 cites W3033237219 @default.
• W4315926993 cites W3033807946 @default.
• W4315926993 cites W3036239325 @default.
• W4315926993 cites W3036305875 @default.
• W4315926993 cites W3037154717 @default.
• W4315926993 cites W3037170119 @default.
• W4315926993 cites W3038070101 @default.
• W4315926993 cites W3040137968 @default.
• W4315926993 cites W3044628679 @default.

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