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Titlebook: Advances in Multi-Channel Resource Allocation; Throughput, Delay, a Bo Ji,Xiaojun Lin,Ness B. Shroff Book 2017 The Editor(s) (if applicable

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期刊全稱Advances in Multi-Channel Resource Allocation
期刊簡稱Throughput, Delay, a
影響因子2023Bo Ji,Xiaojun Lin,Ness B. Shroff
視頻videohttp://file.papertrans.cn/149/148992/148992.mp4
學(xué)科分類Synthesis Lectures on Learning, Networks, and Algorithms
圖書封面Titlebook: Advances in Multi-Channel Resource Allocation; Throughput, Delay, a Bo Ji,Xiaojun Lin,Ness B. Shroff Book 2017 The Editor(s) (if applicable
影響因子The last decade has seen an unprecedented growth in the demand for wireless services. These services are fueled by applications that often require not only high data rates, but also very low latency to function as desired. However, as wireless networks grow and support increasingly large numbers of users, these control algorithms must also incur only low complexity in order to be implemented in practice. Therefore, there is a pressing need to develop wireless control algorithms that can achieve both high throughput and low delay, but with low-complexity operations. While these three performance metrics, i.e., throughput, delay, and complexity, are widely acknowledged as being among the most important for modern wireless networks, existing approaches often have had to sacrifice a subset of them in order to optimize the others, leading to wireless resource allocation algorithms that either suffer poor performance or are difficult to implement. In contrast, the recent results presented inthis book demonstrate that, by cleverly taking advantage of multiple physical or virtual channels, one can develop new low-complexity algorithms that attain both provably high throughput and provably
Pindex Book 2017
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https://doi.org/10.1007/978-3-540-34734-7ed that within the next year we will have 1 billion consumers across the world who have bought tablets and over 2 billion consumers who will have smart phones [3, 5]. This growth in smart devices has also been responsible for the development of data-hungry applications that continue to put an enormo
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2690-4306 equire not only high data rates, but also very low latency to function as desired. However, as wireless networks grow and support increasingly large numbers of users, these control algorithms must also incur only low complexity in order to be implemented in practice. Therefore, there is a pressing n
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Book 2017 suffer poor performance or are difficult to implement. In contrast, the recent results presented inthis book demonstrate that, by cleverly taking advantage of multiple physical or virtual channels, one can develop new low-complexity algorithms that attain both provably high throughput and provably
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