@inproceedings{55750c5b7a9144a48ce9278a4b8460e8,
title = "Cross-Layer Allocation Scheme for Multi-View Videos in Massive MIMO Networks",
abstract = "Due to the growing need for Multi-View Videos (MVV) in advertisement, TV, and education, effectively allocating the resources of next-generation wireless technologies to provide MVV streams is challenging. To achieve the high utility for MVV users, this paper proposes a cross-layer resource allocation mechanism to leverage video synthesizing schemes (such as Depth-Image-Based Rendering (DIBR)) for efficient MVV streaming with massive MIMO. We formulate a new problem Antenna Allocation with Video Synthesizing (AAVS) and prove its NP-hardness. Then, we design an algorithm, named Marginal Utility-Based Iteration (MUBI). The performance is evaluated by the data-driven simulations, and the results manifest that MUBI outperforms the baselines regarding the total utility of users.",
keywords = "massive MIMO, resource allocation, video synthesizing, virtual reality",
author = "Yishuo Shi and Kuo, {Wen Hsing} and Huang, {Chih Wei} and Chou, {Yen Cheng} and Fang, {Shih Hau} and Yang, {De Nian}",
note = "Publisher Copyright: {\textcopyright} 2020 IEEE.; 2020 IEEE International Conference on Communications, ICC 2020 ; Conference date: 07-06-2020 Through 11-06-2020",
year = "2020",
month = jun,
doi = "10.1109/ICC40277.2020.9148824",
language = "???core.languages.en_GB???",
series = "IEEE International Conference on Communications",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2020 IEEE International Conference on Communications, ICC 2020 - Proceedings",
}