CA++: Enhancing Carrier Aggregation Beyond 5G
CA++: Enhancing Carrier Aggregation Beyond 5G
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DOI：
10.1145/3570361.3592500
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发表时间：
2023-07
期刊：
影响因子：
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通讯作者：
Qianru Li;Zhehui Zhang;Yanbing Liu;Zhaowei Tan;Chunyi Peng;Songwu Lu
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作者：
Qianru Li;Zhehui Zhang;Yanbing Liu;Zhaowei Tan;Chunyi Peng;Songwu Lu
载波聚合（CA）是5G及以后的一项重要组成技术。它聚合多个频谱片段以为移动设备服务。然而，当前的载波聚合在高移动性和频谱空间增加的情况下都存在问题。这些局限性源于其按顺序逐个小区的操作。在这项工作中，我们提出了CA++，它脱离了当前的模式，并探索了一种基于组的设计方案。因此，我们提出了新的算法，通过测量一个或几个小区但推断所有小区来实现并发信道推断，同时通过集合覆盖近似来最小化测量成本。我们的评估证实了CA++的有效性。我们的解决方案也可以进行调整以适应当前的5G OFDM物理层和3GPP框架。
Carrier aggregation (CA) is an important component technology in 5G and beyond. It aggregates multiple spectrum fragments to serve a mobile device. However, the current CA suffers under both high mobility and increased spectrum space. The limitations are rooted in its sequential, cell-by-cell operations. In this work, we propose CA++, which departs from the current paradigm and explores a group-based design scheme. We thus propose new algorithms that enable concurrent channel inference by measuring one or few cells but inferring all, while minimizing measurement cost via set cover approximations. Our evaluations have confirmed the effectiveness of CA++. Our solution can also be adapted to fit in the current 5G OFDM PHY and the 3GPP framework.