Selective clustering scheme based on user equipment path and frequency reuse scheme for coordinated multi-point joint processing

Selective clustering scheme based on user equipment path and frequency reuse scheme for coordinated multi-point joint processing

For access to this article, please select a purchase option:

Buy article PDF
(plus tax if applicable)
Buy Knowledge Pack
10 articles for $120.00
(plus taxes if applicable)

IET members benefit from discounts to all IET publications and free access to E&T Magazine. If you are an IET member, log in to your account and the discounts will automatically be applied.

Learn more about IET membership 

Recommend Title Publication to library

You must fill out fields marked with: *

Librarian details
Your details
Why are you recommending this title?
Select reason:
IET Communications — Recommend this title to your library

Thank you

Your recommendation has been sent to your librarian.

Coordinated multi-point (CoMP) – joint processing (JP) is a technique which improves the cell edge user data rate and spectral efficiency. The practical requirements for CoMP-JP in terms of capacity and latency constraints should be solved by considering backhaul network. The possibility of deploying CoMP-JP in practical cellular systems strongly depends on the backhaul network capabilities. The authors propose a selective clustering scheme which is able to selectively form clusters in order to decrease the traffic load of the backhaul network for CoMP-JP. In addition, the authors propose a new frequency reuse scheme for downlink CoMP-JP. The authors are able to decrease intra-cell and inter-cell interference with our proposed frequency reuse scheme. Therefore the authors increase the spectral efficiency and SINR (signal to interference and noise ratio) performance of the system.


    1. 1)
    2. 2)
    3. 3)
    4. 4)
      • 4. Marsch, P., Fettweis, G.: ‘Static clustering for cooperative multi-point (CoMP) in mobile communications’, EURASIP J. Wirel. Commun. Netw., 2010, pp. 16.
    5. 5)
      • 5. Papadogiannis, A.: ‘A dynamic clustering approach in wireless networks with multi-cell cooperative processing’. ICC IEEE. Int. Conf. Communications, Beijing, China, May 2008, pp. 40334037.
    6. 6)
      • 6. Papadogiannis, A., Alexandropoulos, G.C.: ‘The value of dynamic clustering of base stations for future wireless networks’. IEEE. Int. Conf. Fuzzy Systems (FUZZ), Barcelona, Spain, July 2010, pp. 16.
    7. 7)
      • 7. Moon, J.-M., Cho, D.-H.: ‘Inter-cluster interference management based on cell-clustering in network MIMO systems’. IEEE 73rd. Vehicular Technology Conf.(VTC Spring), Yokohama, Japan, May 2011, pp. 16.
    8. 8)
      • 8. Ramprashad, S.A.: ‘A joint scheduling and cell clustering scheme for MU-MIMO downlink with limited coordination’. IEEE. Int. Conf. Communications (ICC), Cape Town, Republic of South Africa, May 2010, pp. 16.
    9. 9)
      • 9. Zhao, J.: ‘An overlapped clustering scheme of coordinated multi-point transmission for LTE-A systems’. IEEE 14th. Int. Conf. Communication Technology(ICCT), Chengdu, China, November 2012, pp. 479484.
    10. 10)
      • 10. R1050507: ‘Soft Frequency Reuse Scheme for UTRAN LTE’, 2005.
    11. 11)
      • 11. Selim, M., El-Khamy, M., El-Sharkawy, M., et al: ‘Enhanced frequency reuse schemes for interference management in LTE femtocell networks’. Int. Symp. on Wireless Communication Systems (ISWCS), 2012, pp. 326330.
    12. 12)
      • 12. R1-060135: ‘Interference Mitigation by Partial Frequency Reuse’, 2006.
    13. 13)
      • 13. Begain, K., Rozsa, G., Pfening, A., et al: ‘Performance analysis of GSM networks with intelligent underlay-overlay’. ISCC Computers and Communications Proc., 2002, pp. 135141.
    14. 14)
      • 14. WiMAX Forum: ‘Mobile WiMAX Part I: A technical overview and performance evaluation’, 2006, pp. 27–28.
    15. 15)

Related content

This is a required field
Please enter a valid email address