Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Wireless Personal Communications
Published in: Wireless Personal Communications 2/2014

01-01-2014

On the Capacity of Cluster-Based Cooperative MIMO Cellular System with Universal or Fractional Frequency Reuse

Author: Dazhi Piao

Published in: Wireless Personal Communications | Issue 2/2014

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

The information-theoretic capacity for the cluster-based multicell cooperative processing (MCP) network with inter-cluster interference is investigated in this paper. An upper bound for the ergodic capacity is derived by the QR decomposition of the channel matrix, which is concisely expressed and close to the results from numerical simulations. Capacity results for the universal frequency reuse (UFR) network show that the cluster-based MCP system has great advantages over the non-cooperated system, and the capacity gain depends mainly on the size of the cooperative cluster, the radius of the cell and the path loss exponent (PLE). However, the cluster-based UFR system is still interference limited, whose capacity declines sharply due to the inter-cluster interference. Therefore, a cluster-based fractional frequency reuse (FFR) network is proposed to improve the system capacity, simulation results show that the cluster-based FFR system can outperform the UFR system, especially for the cases of small radius of cell or small PLE.
previous article On the Security of an Efficient and Non-interactive Hierarchical Key Agreement Protocol
next article Resource Allocation in High Data Rate Mesh WPAN: A Survey Paper

Dont have a licence yet? Then find out more about our products and how to get one now:

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!

inform now

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!

inform now

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!

inform now
Appendix
Available only for authorised users
Literature
1.
Papadogiannis, A., Bang, H., Gesbert, D., & Hardouin, E. (2011). Efficient selective feedback design for multicell cooperative networks. IEEE Transactions on Vehicular Technology, 60(1), 196–205.CrossRef
2.
Gesbert, D., Hanly, S., Huang, H., Shitz, S., Simeone, O., & Yu, W. (2010). Multi-cell MIMO cooperative networks: A new look at interference. IEEE Journal on Selected Areas in Communications, 28(9), 1380–1408.CrossRef
3.
Shamai, S., & Zaidel, B. (2001). Enhancing the cellular downlink capacity via co-processing at the transmitting end. In Proceedings of IEEE vehicular technology conference (Vol. 3, pp. 1745–1749).
4.
Huang, H., & Venkatesan, S. (2004). Asymptotic downlink capacity of coordinated cellular network. In Proceedings of IEEE Asilomar conference on signals, systems, and computers (Vol. 1, pp. 850–855).
5.
Karakayali, M., Foschini, G. J., & Valenzuela, R. A. (2006). Network coordination for spectrally efficient communications in cellular systems. IEEE Wireless Communications Magazine, 13(4), 56–61.CrossRef
6.
Tamaki, T., Seong, K., & Cioffi, J. M. (2007). Downlink MIMO systems using cooperation among base stations in a slow fading channel. In Proceedings of IEEE international conference communications (ICC) (pp. 4728–4733).
7.
Kaviani, S., & Krzymien, W. A. (2008). Sum rate maximization of MIMO broadcast channels with coordination of base stations. In Proceedings of IEEE wireless communications and networking conference (WCNC) (pp. 1079–1084).
8.
Armada, A., Fernandez, M., & Corvaja, R. (2009). Waterfilling schemes for zero-forcing coordinated base station transmission. In Proceedings of IEEE global telecommunications conference (Globecom) (pp. 1–5).
9.
Hardjawana, W., Vucetic, B., & Li, Y. (2009). Multi-user cooperative base station systems with joint precoding and beamforming. IEEE Journal of Selected Topics Signal Processing, 3(6), 1079–1093.CrossRef
10.
Dahrouj, H., & Yu, W. (2009). Coordinated beamforming for the multicell multi-antenna wireless system. IEEE Transactions on Wireless Communications, 9(5), 1748–1759.CrossRef
11.
Wyner, A. D. (1994). Shannon-theoretic approach to a Gaussian cellular multiple-access channel. IEEE Transactions on Information Theory, 40(6), 1713–1727.CrossRefMATHMathSciNet
12.
Somekh, O., Poor, H. V., & Shamai, S. (2009). Local base station cooperation via finite-capacity links for the uplink of linear cellular networks. IEEE Transactions on Information Theory, 55(1), 190–204.CrossRefMathSciNet
13.
Chatzinotas, S., Imran, M., & Tzaras, C. (2008). On the capacity of variable density cellular systems under multicell decoding. IEEE Communications Letters, 12(7), 496–498.CrossRef
14.
Chatzinotas, S., Imran, M., & Hoshyar, R. (2009). On the multicell processing capacity of the cellular MIMO uplink channel in correlated Rayleigh fading environment. IEEE Transactions on Wireless Communications, 8(7), 3704–3715.CrossRef
15.
Venkatesan, S. (2007). Coordinating base stations for greater uplink spectral efficiency in a cellular network. In Proceedings of IEEE international symposium on personal indoor and mobile radio communications (PIMRC) (pp. 1–5).
16.
Boccardi, F., & Huang, H. (2007). Limited downlink network coordination in cellular networks In Proceedings of IEEE international symposium on personal indoor and mobile radio communications (PIMRC) (pp. 1–5).
17.
Ping, L., Wang, P., Wang, H., & Lin, X. (2008). On cellular capacity with base station cooperation. In Proceedings IEEE global telecommunications conference (Globecom) (pp. 1–5).
18.
Zhang, J., Chen, R., Andrews, J. G., Ghosh, A., & Heath, R. W, Jr. (2009). Networked MIMO with clustered linear precoding. IEEE Transactions on Wireless Communications, 8(4), 1910–1921.CrossRef
19.
Papadogiannis, A., Gesbert, D., & Hardouin, E. (2008). A dynamic clustering approach in wireless networks with multi-cell cooperative processing. In Proceedings of IEEE international conference on communications (ICC) (pp. 4033–4037).
20.
Kaviani, S., & Krzymien, W. A. (2010). Multicell scheduling in network MIMO. In Proceedings of IEEE global telecommunications conference (Globecom) (pp. 1–5).
21.
Piao, D., Wang, Z., & Yang, Z. (2010). Capacity study of virtual MIMO uplink OFDMA cellular system with cochannel interference. In Proceedings of IEEE vehicular technology conference (VTC) (pp. 1–4).
22.
Blum, R. S. (2003). MIMO capacity with interference. IEEE Journal of Selected Areas in Communications, 21(5), 793–801.CrossRef
23.
Telatar, I. E. (1999). Capacity of multi-antenna Gaussian channels. European Transactions on Telecommunications, 10(6), 585–595.CrossRef
24.
Wubben, D., Bohnke, R., Rinas, J., Kuhn, V., & Kanimeyer, K. D. (2001). Efficient algorithm for decoding layered space-time codes. Electronics Letters, 37(22), 1348–1350.CrossRef
25.
Ross, S. M. (1997). Introduction to probability models (6th ed.). San Diego, CA: Academic Press.MATH
26.
Fu, W., Tao, Z., Zhang, J., & Agrawal, D. P. (2010). Clustering based fractional frequency reuse and fair resource allocation in multi-cell networks. In Proceedings of IEEE international conference on communications (pp. 1–6).
Metadata
Title
On the Capacity of Cluster-Based Cooperative MIMO Cellular System with Universal or Fractional Frequency Reuse
Author
Dazhi Piao
Publication date
01-01-2014
Publisher
Springer US
Published in
Wireless Personal Communications / Issue 2/2014
Print ISSN: 0929-6212
Electronic ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-013-1329-z

Other articles of this Issue 2/2014

Wireless Personal Communications 2/2014 Go to the issue

OriginalPaper

Performance Analysis of Color-Independent Visible Light Communication Using a Color-Space-Based Constellation Diagram and Modulation Scheme

OriginalPaper

Reduction of the PAPR in OFDM Systems by Intelligently Applying Both PTS and SLM Algorithms

OriginalPaper

Efficient Linear Homomorphic Encryption from LWE Over Rings

OriginalPaper

Blind Symbol Timing Estimation for Orthogonal Frequency Division Multiplexing Based on Non-Gaussianity Maximization

OriginalPaper

Adaptively Grouped Multilevel Space-Time Trellis Codes

OriginalPaper

Adaptive Cooperative Decode-and-Forward Transmission with Power Allocation Under Interference Constraint