| 书目名称 | Statistical Robust Beamforming for Broadcast Channels and Applications in Satellite Communication | | 编辑 | Andreas Gründinger | | 视频video | | | 概述 | Investigates adaptive physical-layer beamforming and resource allocation to ensure reliable data transmission.Provides an overview of reformulations from robust optimization and recommends modelling a | | 丛书名称 | Foundations in Signal Processing, Communications and Networking | | 图书封面 |  | | 描述 | This book investigates adaptive physical-layer beamforming and resource allocation that ensure reliable data transmission in the multi-antenna broadcast channel. The book provides an overview of robust optimization techniques and modelling approximations to deal with stochastic performance metrics. One key contribution of the book is a closed-form description of the achievable rates with unlimited transmit power for a rank-one channel error model. Additionally, the book provides a concise duality framework to transform mean square error (MSE) based beamformer designs, e.g., quality of service and balancing optimizations, into equivalent uplink filter designs. For the algorithmic solution, the book analyses the following paradigm: transmission to receivers with large MSE targets (low demands) is switched off if the transmit power is low. The book also studies chance constrained optimizations for limiting the outage probability. In this context, the book provides two novel conservative outage probability approximations, that result in convex beamformer optimizations. To compensate for the remaining inaccuracy, the book introduces a post-processing power allocation. Finally, the book | | 出版日期 | Book 2020 | | 关键词 | vector broadcast channel; multi-user MIMO; statistical channel knowledge; quality of service optimizati | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-030-29578-3 | | isbn_softcover | 978-3-030-29580-6 | | isbn_ebook | 978-3-030-29578-3Series ISSN 1863-8538 Series E-ISSN 1863-8546 | | issn_series | 1863-8538 | | copyright | Springer Nature Switzerland AG 2020 |
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发表于 2025-3-21 17:24:44
