Resource Allocation for Outdoor-to-Indoor Compress-and-Forward SUDAS with Independent Relay Processing
Krishnamoorthy A, Schober R, Breiling M (2017)
Publication Language: English
Publication Status: Published
Publication Type: Conference contribution
Publication year: 2017
Event location: Toronto, ON, Canada
ISBN: 978-1-5090-5935-5
DOI: 10.1109/VTCFall.2017.8287949
Abstract
In this paper, we consider resource allocation for an outdoor-to-indoor shared user-equipment (UE)-side distributed antenna system (SUDAS) employing multiple independently operating compress-and-forward (CF) relays which utilize both licensed and unlicensed frequency bands to enhance indoor data throughput. First, a non-convex matrix-valued resource allocation problem for maximization of the weighted sum rate is formulated. Next, the non-convex problem is simplified to obtain a low-complexity suboptimal resource allocation algorithm based on sequential quadratic programming (SQP). The proposed algorithm is shown to provide excellent performance in practical scenarios. Furthermore, the algorithm has a low channel state information (CSI) feedback requirement and can accommodate arbitrary communication bands and technologies for indoor relaying. Therefore, the proposed CF-SUDAS scheme can help achieve high outdoor-to-indoor data throughput at low complexity, a crucial requirement for next generation wireless communication systems.
Authors with CRIS profile
Aravindh Krishnamoorthy
Lehrstuhl für Digitale Übertragung
Robert Schober
Lehrstuhl für Digitale Übertragung
Involved external institutions
Germany (DE)How to cite
APA:
Krishnamoorthy, A., Schober, R., & Breiling, M. (2017). Resource Allocation for Outdoor-to-Indoor Compress-and-Forward SUDAS with Independent Relay Processing. In IEEE (Eds.), Proceedings of the Vehicular Technology Conference (VTC-Fall). Toronto, ON, Canada, CA.
MLA:
Krishnamoorthy, Aravindh, Robert Schober, and Marco Breiling. "Resource Allocation for Outdoor-to-Indoor Compress-and-Forward SUDAS with Independent Relay Processing." Proceedings of the Vehicular Technology Conference (VTC-Fall), Toronto, ON, Canada Ed. IEEE, 2017.
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