The necessity of scheduling in compute-and-forward

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    1 Scopus citations

    Abstract

    Compute and Forward (CF) is a promising relaying scheme which, instead of decoding single messages or forwarding/amplifying information at the relay, decodes linear combinations of the simultaneously transmitted messages. The current literature includes several coding schemes and results on the degrees of freedom in CF, yet for systems with a fixed number of transmitters and receivers. It is unclear, however, how CF behaves at the limit of a large number of transmitters. In this paper, we investigate the performance of CF in that regime. Specifically, we show that as the number of transmitters grows, CF becomes degenerated, in the sense that a relay prefers to decode only one (strongest) user instead of any other linear combination of the transmitted codewords, treating the other users as noise. Moreover, the sum-rate tends to zero as well. This makes scheduling necessary in order to maintain the superior abilities CF provides. Indeed, under scheduling, we show that non-trivial linear combinations are chosen, and the sum-rate does not decay, even without state information at the transmitters and without interference alignment.

    Original languageEnglish
    Title of host publication IEEE Information Theory Workshop, ITW 2017
    PublisherInstitute of Electrical and Electronics Engineers
    Pages509-513
    Number of pages5
    ISBN (Electronic)9781509030972
    DOIs
    StatePublished - 2 Jul 2017
    Event2017 IEEE Information Theory Workshop, ITW 2017 - Kaohsiung, Taiwan, Province of China
    Duration: 6 Nov 201710 Nov 2017

    Publication series

    NameIEEE International Symposium on Information Theory - Proceedings
    Volume2018-January
    ISSN (Print)2157-8095

    Conference

    Conference2017 IEEE Information Theory Workshop, ITW 2017
    Country/TerritoryTaiwan, Province of China
    CityKaohsiung
    Period6/11/1710/11/17

    ASJC Scopus subject areas

    • Theoretical Computer Science
    • Information Systems
    • Modeling and Simulation
    • Applied Mathematics

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