Throughput Analysis and Optimization of Relay Selection Techniques for Millimeter Wave Communications
Joint Authors
Source
Journal of Computer Networks and Communications
Issue
Vol. 2019, Issue 2019 (31 Dec. 2019), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2019-10-01
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Information Technology and Computer Science
Abstract EN
In this paper, we optimize the throughput of millimeter wave communications using relay selection techniques.
We study opportunistic amplify and forward (OAF), opportunistic decode and forward (ODF), and partial and reactive relay selection (PRS and RRS).
Our analysis is valid for interference-limited millimeter wave communications.
We suggest a new optimal power allocation (OPA) strategy that offers significant performance enhancement with respect to uniform power allocation (UPA).
The proposed OPA offers up to 2 dB gain with respect to UPA.
Our analysis is confirmed with extensive simulation results for Nakagami fading channels.
American Psychological Association (APA)
Alhamad, Raed& Boujemaa, Hatem. 2019. Throughput Analysis and Optimization of Relay Selection Techniques for Millimeter Wave Communications. Journal of Computer Networks and Communications،Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1172373
Modern Language Association (MLA)
Alhamad, Raed& Boujemaa, Hatem. Throughput Analysis and Optimization of Relay Selection Techniques for Millimeter Wave Communications. Journal of Computer Networks and Communications No. 2019 (2019), pp.1-8.
https://search.emarefa.net/detail/BIM-1172373
American Medical Association (AMA)
Alhamad, Raed& Boujemaa, Hatem. Throughput Analysis and Optimization of Relay Selection Techniques for Millimeter Wave Communications. Journal of Computer Networks and Communications. 2019. Vol. 2019, no. 2019, pp.1-8.
https://search.emarefa.net/detail/BIM-1172373
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1172373
