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Anh Tien Tran,Na Woongsoo(나웅수),Demeke Shumeye Lakew,Duc Thien Hua,전용인,Cho Sungrae(조성래) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.11
Scalable Video Coding (SVC) scheme is considered as a promising technique to provide adaptive and scalable heterogeneous video streaming services. In SVC, the videos are encoded into inter-dependent video layers by a centralized content server, and then allocated to base stations (BSs) to serve the associated users. In this paper, we study on a SVC-enabled video delivery network, where the BS proactively choose which video layers to be served for its associated users. The problem is to maximize the perceived video quality at users’ devices based on association decisions of all video layers considering the available bandwidth, minimum quality and maximum delay tolerance from users. A reinforcement learning framework is applied for optimizing the problem.
DQN-based Relay UAV Trajectory Planning in Cellular Network
Duc Thien Hua,Jeonghwa Lee(이정화),Demeke Shumeye Lakew,Anh-Tien Tran,Thanh Phung Truong,Sungrae Cho(조성래) 한국통신학회 2021 한국통신학회 학술대회논문집 Vol.2021 No.11
Currently, the application of unmanned aerial vehicles (UAVs) to tackle the path planning tasks has proliferated and appeal interest in academic research, civil and military applications. In this paper we propose a deep Q network (DQN)-based solution framework, in which a single UAV act as a relay node establishing downlink transmission to all the mobile user in a cellular area. DQN-based trajectory planning algorithm is proposed, which effectively maximize the Signal to interference& noise ratio (SINR) by optimizing the flying path of the relay UAV.