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 Networks
Erschienen in: Wireless Networks 5/2013

01.07.2013

Hierarchical modulation based cooperative relaying over a multi-cell OFDMA network

verfasst von: Hyukmin Son, Sanghoon Lee

Erschienen in: Wireless Networks | Ausgabe 5/2013

Einloggen

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

search-config
loading …

Abstract

The relay-assisted cooperative technique is a promising solution for guaranteeing quality of service and improvement in channel capacity. This paper proposes a hierarchical modulation based cooperative relaying method via a fixed relay station (FRS) to improve the performance of cell edge users for orthogonal frequency division multiple access (OFDMA) systems over a multi-cell environment. The grafting of both FRS and hierarchical modulation onto an OFDMA based cooperative system provides opportunities to reduce the interferences, i.e. inter-cell and inter-relay interferences, and to achieve cooperative diversity in a multi-cell environment, simultaneously. Under conditions of severe inter cell interference caused by high carrier collisions, the proposed scheme leads to an improvement in both channel capacity and bit error rate for cell boundary users.
Vorheriger Artikel Asymptotic throughput for large-scale wireless networks with general node density
Nächster Artikel Cross-layer sequential sensing with effective throughput maximization in time-slotted cognitive networks

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

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 "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"

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
Fußnoten
1
The conventional cooperative scheme means that the TDM based simple relaying scheme such as the proposed scheme in [7‐9].
 
2
For simplicity of illustration, we define a hierarchical modulated symbol using the notation _:_ where high priority bits are to the left of the colon and low priority bits are to the right of the colon. For example, A:B is the 4/16 QAM hierarchical modulation symbol where A represents the high priority bits and B represents the low priority bits. For additional protection of the high priority bits A, it may be necessary to allocate a higher power to A relative to B. Here, each capital alphabet represents two information bits.
 
3
Note on the technical notation used in this paper : boldface letters are used for matrices and vectors. \((\cdot)^H\) represents the conjugate transpose operator; similarly, \((\cdot)^{T}, (\cdot)^{-1}\) and \((\cdot)^{\dag}\) represent the transpose, inverse and pseudo-inverse operators, respectively. \(|\cdot|\) denotes absolute value.
 
4
In this paper, the ZF receive filter is adopted to maximize the SINR or to minimize the noise enhancements at the FRS. The main concept is identical with the MMSE receive filter. From the SINR of the MMSE [22], the optimal angle criterion is derived as
$$ \alpha=\max\frac{1}{[(\frac{{\bf H}_E^H{\bf H}_E}{N_0}+I_{M_T})^{-1}]_{k,k}}-1=\min\left[\left(\frac{{\bf H}_E^H{\bf H}_E}{N_0}+I_{M_T}\right)^{-1}\right]_{k,k}=\min\left[({\bf H}_E^H{\bf H}_E)^{-1}\right]_{k,k}. $$
(11)
Thus, we obtain the identical result for the MMSE
 
5
Transmit ZF weight vectors w = [w A w B ] are the normalized column vectors of \(\{[{\bf h}_{R D_1}^T {\bf h}_{R D_2}^T]^T\}^\dag\) [22].
 
6
The modulation noise defined in [16] is the undesired signal from the viewpoint of the direct channel between each BS and MS. As shown in Fig. 2, |x A:B |2 = |x d |2 + |x m |2 = 2d 1 2  + 2d 2 2 , where x d is the desired signal, and x m is the modulation noise in 4/16 QAM hierarchical modulation.
 
7
It is difficult to prove the convexity of average SINR according to λ. Thus, we provide the simulation result to find optimal λ statistically according to a given system environment and Eq. 21 as shown in Fig. 8. If the distribution of optimal λ is available, we can design an efficient quantizer for λ such as [23]. Therefore, the problem to find optimal λ can be resolved based on the statistic results.
 
Literatur
1.
IEEE LAN/MAN Standards Committee (2004). IEEE standard for local and metropolitan area networks, part 16: Air interface for fixed broadband wireless access systems, IEEE Standard 802.16.
2.
Koffman, I., & Roman, V. (2002). Broadband wireless access solutions based on OFDM access in IEEE 802. 16. IEEE Communications Australian Meteorological Magazine, 40, 96–103.CrossRef
3.
Electronics, L. (2005). Standard aspects of interference coordination for eutra(R1-051051). In 3GPP LTE.
4.
Son, H., & Lee, S. (2006). Bandwidth and region division for broadband multi-cell networks. IEEE Communications Letters, 10, 360–362.CrossRef
5.
Ming, Y., & Chong, P. (2005). Dynamic channel partitioning with flexible channel combination for TDMA-based cellular systems. IEEE Transactions on Wireless Communications, 4, 2095–2099.CrossRef
6.
Son, H., & Lee, S. (2010). Analysis of QoS-based band power allocation for broadband muti-cell forward link environments. IEICE Transactions on Communications, E93-B, 1953–1956.CrossRef
7.
Boyer, J., Falconer, D., & Yanikomeroglu, H. (2004). Multihop diversity in wireless relaying channels. IEEE Transactions on Communications, 52, 1820–1830.CrossRef
8.
Laneman, J., Tse, D., & Wornell, G. (2004). Cooperative diversity in wireless networks: Efficient protocols and outage behavior. IEEE Transactions on Information Theory, 50, 3062–3080.MathSciNetCrossRef
9.
Kramer, G., Gastpar, M., & Gupta, P. (2005). Cooperative strategies and capacity theorems for relay networks. IEEE Transactions on Information Theory, 51, 3037–3063.MathSciNetCrossRef
10.
Larsson, E., & Vojcic, B. (2005). Cooperative transmit diversity based on superposition modulation. IEEE Communications Letters, 9, 778–780.CrossRef
11.
Ding, Z., Ratnarajah, T., & Cowan, C. (2006). Cooperative multiple access systems using superposition modulation. IEEE Information Theory Workshop (ITW’06), (pp. 497–501).
12.
Hausl, C., & Hagenauer, J. (2006). Relay communication with hierarchical modulation. IEEE Communications Letters, 54, 64–66.
13.
Lee, K., & Cho, D. (2007). Hierarchical constellation based adaptive relay scheme in multi-hop networks. IEEE Communications Letters, 3, 225–227.CrossRef
14.
ETSI. (2004). Digital video broadcasting (DVB): Framing structure, channel coding and modulation for digital terrestrial television, EN 300 744, V1.5.1.
15.
Jiang, H., & Wilford, P. (2005). A hierarchical modulation for upgrading digital broadcast systems. IEEE Transactions on Broadcasting, 51, 223–229.CrossRef
16.
Yoo, T., & Goldsmith, A. (2006). On the optimality of multiantenna broadcast scheduling using zero-forcing beamforming. IEEE Journal on Selected Areas of Communications, 24, 528–541.CrossRef
17.
Yoo, T., Jindal, N., & Goldsmith, A. (2007). Multi-antenna downlink channels with limited feedback and user selection. IEEE Journal on Selected Areas of Communications, 25, 1478–1491.CrossRef
18.
Kim, J., Son, H., & Lee, S. (2006). Frequency reuse power allocation for broadband cellular networks. In IEICE Trans. on Comm. Paper, E89-B.
19.
Bonald, T., Borst, S., & Proutiere, A. (2005). Inter-cell scheduling in wireless data networks. In European wireless conference.
20.
Pabst, R., et al. (2004). Relay-based deployment concepts for wireless and mobile broadband radio. IEEE Communications Australian Meteorological Magazine, 42, 80–89.CrossRef
21.
Tse, D., & Viswanath, P. (Spring 2004). EECS 224B: Fundamentals of wireless communications. Lecture Notes, University of California, Berkeley.
22.
Paulraj, A., Nabar, R., & Gore, D. (2003). Introduction to space-time wireless communications. Cambridge, UK: Cambridge University Press.
23.
Vicario, J.L., Bosisio, R., Spagnolini, U., & Anton-Haro, C. (2006). A throughput analysis for opportunistic beamforming with quantized feedback. IEEE PIMRC, 1– 5.
24.
Proakis, J.G. (2001). Digital communications. (4th edn.). New York: Mc Graw Hill.
25.
Vitthaladevuni, P. K., & Alouini, M.-S. (2001). BER computation of 4/M-QAM hierarchical constellations. IEEE Transactions on Broadcasting, 47, 228–239.CrossRef
26.
Electronics, S. (2008). Inter-cell interference mitigation through limited coordination(R1082886). In 3GPP LTE.
27.
Winters, J. (1984). Optimum combining in digital mobile radio with cochannel interference. IEEE JSAC, 2, 528–539.
28.
Li, Y., & Sollenberger, N. (1999). Adaptive antenna arrays for OFDM systems with cochannel interference. IEEE Transactions on Communications, 47, 217–229.CrossRef
29.
Electronics, L.G. (2011). Proposal for UE receiver assumption in CoMP simulations(R110576). In 3GPP LTE, Jan.
30.
Park, J., Son, H., & Lee, S. (2009). Throughput and QoS improvement via fixed relay station cooperated beam-forming. IEEE Transactions on Wireless Communications, 8, 2004–2009.
Metadaten
Titel
Hierarchical modulation based cooperative relaying over a multi-cell OFDMA network
verfasst von
Hyukmin Son
Sanghoon Lee
Publikationsdatum
01.07.2013
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 5/2013
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-012-0486-4

Weitere Artikel der Ausgabe 5/2013

Wireless Networks 5/2013 Zur Ausgabe

OriginalPaper

Compressive spectrum sensing in the cognitive radio networks by exploiting the sparsity of active radios

OriginalPaper

Base station association schemes to reduce unnecessary handovers using location awareness in femtocell networks

OriginalPaper

Deployment of a mobile wireless sensor network with k-coverage constraint: a cellular learning automata approach

OriginalPaper

Performance analysis of dynamic spectrum handoff scheme with variable bandwidth demand of secondary users for cognitive radio networks

OriginalPaper

Construction and maintenance of virtual backbone in wireless networks

OriginalPaper

Energy efficient camera node activation control in multi-tier wireless visual sensor networks

Neuer Inhalt

    Bildnachweise