English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The next-generation wireless networks are envisioned to support large-scalesensing and distributed machine learning, thereby enabling new intelligentmobile applications. One common network operation will be the aggregation ofdistributed data (such as sensor observations or AI-model updates) forfunctional computation (e.g., averaging) so as to support large-scale sensingand distributed machine learning. An efficient solution for data aggregation,called "over-the-air computation" (AirComp), embeds functional computation intosimultaneous access by many edge devices. Such schemes exploit the waveformsuperposition of a multi-access channel to allow an access point to receive adesired function of simultaneous signals. In this work, we aim at realizingAirComp in a two-cell multi-antenna system. To this end, a novel scheme ofsimultaneous signal-and-interference alignment (SIA) is proposed that builds onclassic IA to manage interference for multi-cell AirComp. The principle of SIAis to divide the spatial channel space into two subspaces with equaldimensions: one for signal alignment required by AirComp and the other forinter-cell IA. As a result, the number of interference-free spatiallymultiplexed functional streams received by each AP is maximized (equal to halfof the available spatial degrees-of-freedom). Furthermore, the number isindependent of the population of devices in each cell. In addition, theextension to SIA for more than two cells is discussed.

Simultaneous Signal-and-Interference Alignment for Two-Cell Over-the-Air Computation