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    Rate Splitting and Common Message Decoding for MIMO C-RAN Systems

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    Type
    Conference Paper
    Authors
    Ahmad, Alaa Alameer
    Kakar, Jaber
    Dahrouj, Hayssam
    Chaaban, Anas
    Shen, Kaiming
    Sezgin, Aydin
    Al-Naffouri, Tareq Y. cc
    Alouini, Mohamed-Slim cc
    KAUST Department
    Electrical Engineering Program
    Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
    Date
    2019-08-30
    Online Publication Date
    2019-08-30
    Print Publication Date
    2019-07
    Permanent link to this record
    http://hdl.handle.net/10754/658667
    
    Metadata
    Show full item record
    Abstract
    In this paper, we study the benefits of rate-splitting (RS) in multiple-input multiple-output (MIMO) cloud radio access networks (C-RAN). For this setting, we propose a stream-based transmission scheme in which user's messages are divided into a private and a common part, each of which is encoded into multiple streams. Under this stream-based strategy, we formulate a weighted sum-rate maximization problem subject to backhaul capacity and transmit power constraints. We determine the beamforming vectors of private and common streams of this non-convex optimization problem via a proposed iterative algorithm based on the fractional programming (FP) framework. Numerical results show gains of up to 27% of RS-MIMO over the baseline scheme of treating interference as noise (TIN). Particularly, at large backhaul capacities and specific antenna settings at which interference levels are maximal, rate splitting along with common message decoding is a viable option for effective interference management in MIMO C-RAN.
    Citation
    Ahmad, A. A., Kakar, J., Dahrouj, H., Chaaban, A., Shen, K., Sezgin, A., … Alouini, M.-S. (2019). Rate Splitting and Common Message Decoding for MIMO C-RAN Systems. 2019 IEEE 20th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC). doi:10.1109/spawc.2019.8815579
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Conference/Event name
    20th IEEE International Workshop on Signal Processing Advances in Wireless Communications, SPAWC 2019
    DOI
    10.1109/SPAWC.2019.8815579
    Additional Links
    https://ieeexplore.ieee.org/document/8815579/
    ae974a485f413a2113503eed53cd6c53
    10.1109/SPAWC.2019.8815579
    Scopus Count
    Collections
    Conference Papers; Electrical and Computer Engineering Program; Computer, Electrical and Mathematical Science and Engineering (CEMSE) Division

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