Load-Aware Cell Selection Method for Efficient Use of Network Resources 


Vol. 40,  No. 12, pp. 2443-2449, Dec.  2015


PDF
  Abstract

Downlink (DL) data rate for a MS is influenced by not only the signal to interference and noise ratio (SINR) but also the amount of radio resources allocated to the MS. Therefore, when a MS uses SINR to select a cell to associate with, it cannot receive the fastest DL data rate all the time if it associates with a congested cell. Moreover, the SINR-based cell selection may result in cell loads unbalance, which decreases the efficiency of a network. To address the issue, we propose a novel cell selection method by considering not only SINR but also a cell load which are combined into two cell selection criteria. One is the maximum achievable data rate and the other is the minimum outage probability. The simulation results show that the cell selection based on the maximum achievable data rate is superior to the SINR-based method and the method using the minimum outage probability in terms of the system efficiency and the fairness in cell loads while the cell selection method based on the minimum outage probability is superior to the others in terms of the outage probability of a MS.

  Statistics
Cumulative Counts from November, 2022
Multiple requests among the same browser session are counted as one view. If you mouse over a chart, the values of data points will be shown.


  Cite this article

[IEEE Style]

J. Park, "Load-Aware Cell Selection Method for Efficient Use of Network Resources," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 12, pp. 2443-2449, 2015. DOI: .

[ACM Style]

Jaesung Park. 2015. Load-Aware Cell Selection Method for Efficient Use of Network Resources. The Journal of Korean Institute of Communications and Information Sciences, 40, 12, (2015), 2443-2449. DOI: .

[KICS Style]

Jaesung Park, "Load-Aware Cell Selection Method for Efficient Use of Network Resources," The Journal of Korean Institute of Communications and Information Sciences, vol. 40, no. 12, pp. 2443-2449, 12. 2015.