Multi-Sequence Spreading Random Access (MSRA) for ... - IEEE …
This paper presents the design of multi-sequence spreading random access (MSRA) which employs multiple spreading sequences to spread the different symbols of a user as opposed to the conventional schemes in which a user employs …
This paper presents the design of multi-sequence spreading random access (MSRA) which employs multiple spreading sequences to spread the different symbols of a user as opposed to the conventional schemes in which a user employs …
MSRA Shanghai (Sensing, Communication, and Learning Group ...
The goal of research on Microsoft Research Asia – Shanghai (MSRA Shanghai) is to design advanced algorithms and systems to help solve cutting-edge challenges closely related to our life.
MSRA Shanghai (Sensing, Communication, and Learning Group)
The Shanghai AI/ML Group from MSRA Shanghai focuses on research areas related to machine learning and its application.
Multi-Cell Performance of Grant-Free and Non-Orthogonal
In this paper, we investigate the performance of multi-sequence spreading-based random access (MSRA) scheme under multi-cell environment. In particular, a grant-free random access scenario is considered to indicate its particular attributes that fundamentally affect the cellular performance.
Multi-Sequence Spreading Random Access (MSRA) for
Aug 9, 2021 · This paper presents the design of multi-sequence spreading random access (MSRA) which employs multiple spreading sequences to spread the different symbols of a user as opposed to the...
Multi-sequence Spreading Random Access (MSRA) for …
Mar 20, 2021 · This paper presents the design of multi-sequence spreading random access (MSRA) which employs multiple spreading sequences to spread the different symbols of a user as opposed to the conventional schemes in which a user …
Multi-sequence Spreading Random Access (MSRA) for …
Mar 20, 2021 · This paper presents the design of multi-sequence spreading random access (MSRA) which employs multiple spreading sequences to spread the different symbols of a user as opposed to the conventional schemes in which a user …
MSRA-Fed: A Communication-Efficient Federated Learning …
In this paper, we verify that the outputs of the last hidden layer can record the characteristics of training data. Accordingly, we propose a communication-efficient strategy based on model split and representation aggregate.
(PDF) Multi-sequence Spreading Random Access (MSRA) for …
Mar 20, 2021 · This paper presents the design of multi-sequence spreading random access (MSRA) which employs multiple spreading sequences to spread the different symbols of a user as opposed to the...
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