Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2020

15.11.2019

Low Complexity User Selection and Power Allocation for Uplink NOMA Beamforming Systems

verfasst von: Yu-Hsin Chen, Yung-Fang Chen, Shu-Ming Tseng, Der-Feng Tseng

Erschienen in: Wireless Personal Communications | Ausgabe 3/2020

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

In this paper, we develop user selection and power allocation methods for NOMA systems equipped with multi-antenna to enhance the sum capacity of the uplink. The system has the base station (BS) with \( N \) antenna supporting 2N users in the same spectrum resource simultaneously, and successive interference cancellation (SIC) is applied at the BS. Because the superposition of multiple users in transmission within the same frequency resource block leads to the interference among users, we derive a user set selection algorithm and a suboptimal power control to mitigate the interference effect and to maximize the sum capacity. The user set selection algorithm is first applied by comparing the designed indicator which balances the factors affecting the sum capacity of the uplink. Second, the derived suboptimal power assignment algorithm is utilized with power control factors where four cases are evaluated. The simulation results show that the proposed schemes can significantly improve the sum capacity than the existing methods.
Vorheriger Artikel Weighted Majority Cooperative Game Based Dynamic Small Cell Clustering and Resource Allocation for 5G Green Mobile Network
Nächster Artikel Optimized Node Deployment in Wireless Sensor Network for Smart Grid Application

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

Jetzt informieren
Anhänge
Nur mit Berechtigung zugänglich
Literatur
1.
2.
Kayama, H., & Jiang, H. (2014). Evolution of LTE and new radio access technologies for FRA (future radio access). In Proceedings of the IEEE ACSSC (pp. 1944–1948).
3.
Docomo, N. T. T. (2012). Requirements, candidate solutions and technology roadmap for LTE Rel-12 onward. RWS-120010. In: 3GPP workshop on release 12 onward ljubljana, June 11–12, 2012.
4.
Yang, Z., Ding, Z., Fan, P., & Al-Dhahir, N. (2016). A general power allocation scheme to guarantee quality of service in downlink and uplink NOMA systems. IEEE Transactions on Wireless Communications,15(11), 7244–7257.CrossRef
5.
Li, A., Benjebbour, A., Chen, X., Jiang, H., & Kayama, H. (2015). Uplink non-orthogonal multiple access (NOMA) with single-carrier frequency division multiple access (SCFDMA) for 5G systems. IEICE Transactions on Communications,98(8), 1426–1435.CrossRef
6.
Saito, Y., Kishiyama, Y., Benjebbour, A., Nakamura, T., Li, A., & Higuchi, K. (2013). Non-orthogonal multiple access (NOMA) for cellular future radio access. In: Proceedings of the IEEE 77th VTC Spring (pp. 1–5) June 2013.
7.
Islam, S. M. R., Avazov, N., Dobre, O. A., & Kwak, K.-S. (2017). Power-domain non-orthogonal multiple access (NOMA) in 5G systems: Potentials and challenges. IEEE Communications Surveys and Tutorials,19(2), 721–742.CrossRef
8.
Tomida, S., & Higuchi, K. (2011). Non-orthogonal access with SIC in cellular downlink for user fairness enhancement. In 2011 International Symposium on Intelligent Signal Processing and Communications Systems (ISPACS) (pp. 1–6).
9.
Takeda, T., Higuchi, K. (2011). Enhanced user fairness using non-orthogonal access with SIC in cellular uplink. In: 2011 IEEE vehicular technology conference (VTC Fall) (pp. 1–5).
10.
Wang, P., Xiao, J., & Ping, L. (2006). Comparison of orthogonal and nonorthogonal approaches to future wireless cellular systems. IEEE Vehicular Technology Magazine,1(3), 4–11.MathSciNetCrossRef
11.
Schaepperle, J., & Rüegg, A. (2009). Enhancement of throughput and fairness in 4G wireless access systems by non-orthogonal signaling. Bell Labs Technical Journal,4(13), 59–77.CrossRef
12.
Schaepperle, J. (2010). Throughput of a wireless cell using superposition based multiple-access with optimized scheduling. In Proceedings IEEE 21st PIMRC (pp. 212–217).
13.
Luo, F.-L., & Zhang, C. J. (2016). Signal processing for 5G: Algorithms and implementations. Hoboken: Wiley.CrossRef
14.
GPP TSG-RAN1 #42bis R1-0501162 (2005). UL virtual MIMO transmission for E-UTRA. San Diego, USA.
15.
Chen, C.-J., & Wang, L.-C. (2007). Performance analysis of scheduling in multiuser mimo systems with zero-forcing receivers. IEEE Journal on Selected Areas in Communications,25(7), 1435–1445.CrossRef
16.
Caire, G., & Shamai, S. (2003). On the achievable throughput of a multiantenna Gaussian broadcast channel. IEEE Transactions on Information Theory,49(7), 1691–1706.MathSciNetCrossRef
17.
Endo, Y., Kishiyama, Y., & Higuchi, K. (2012). Uplink non-orthogonal access with MMSE-SIC in the presence of inter-cell interference. In International symposium on wireless communication systems (ISWCS) (pp. 261–265).
18.
Zhang, N., Wang, J., Kang, G., & Liu, Y. (2016). Uplink nonorthogonal multiple access in 5G systems. IEEE Communications Letters,20(3), 458–461.CrossRef
19.
Ali, M. S., Tabassum, H., & Hossain, E. (2016). Dynamic user clustering and power allocation for uplink and downlink non-orthogonal multiple access (NOMA) systems. IEEE Access,4, 6325–6343.
20.
Kim, B., Chung, W., Lim, S., Suh, S., Kwun, J., Choi, S., & Hong, D. (2015). Uplink NOMA with multi-antenna. In Proceedings of the IEEE 81st VTC Spring (pp. 1–5).
21.
Liu, W., Yang, L. L., & Hanzo, L. (2009). SVD-Assisted multiuser transmitter and multiuser detector design for MIMO systems. IEEE Transactions on Vehicular Technology,58(2), 1016–1021.CrossRef
22.
Viswanath, P., & Tse, D. N. C. (2003). Sum capacity of the vector Gaussian broadcast channel and uplink-downlink duality. IEEE Transactions on Information Theory,49(8), 1912–1921.MathSciNetCrossRef
23.
Ratnam, V. V., Molisch, A. F., & Papadopoulos, H. C. (2016). MIMO systems with restricted pre/post-coding—capacity analysis based on coupled doubly correlated Wishart matrices. IEEE Transactions on Wireless Communications,15(12), 8537–8550.CrossRef
24.
Evolved Universal Terrestrial Radio Access (E-UTRA); Physical layer procedures, 3GPP, TS 36.213 V 8.1.0.
Metadaten
Titel
Low Complexity User Selection and Power Allocation for Uplink NOMA Beamforming Systems
verfasst von
Yu-Hsin Chen
Yung-Fang Chen
Shu-Ming Tseng
Der-Feng Tseng
Publikationsdatum
15.11.2019
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2020
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-019-06923-9

Weitere Artikel der Ausgabe 3/2020

Wireless Personal Communications 3/2020 Zur Ausgabe

OriginalPaper

An Energy-Efficient Message Scheduling Algorithm with Joint Routing Mechanism at Network Layer in Internet of Things Environment

OriginalPaper

Network Selection Algorithm Based on Chi-Square Distance in Heterogeneous Wireless Networks

OriginalPaper

Design of Smart Door Closer System with Image Classification over WLAN

OriginalPaper

Maximum Lifetime Target Coverage in Wireless Sensor Networks

OriginalPaper

Design of Differential Spatial Modulation Cooperative System Based on Complementary Code

OriginalPaper

Wearable Wireless Sensors Network for ECG Telemonitoring Using Neural Network for Features Extraction

Neuer Inhalt

    Bildnachweise