Your browser does not support JavaScript!
http://iet.metastore.ingenta.com
1887

access icon openaccess Edge aware cross-tier base station cooperation in heterogeneous wireless networks with non-uniformly-distributed nodes

This study investigates the cross-tier base station (BS) cooperation in non-uniform heterogeneous networks where the distribution of pico BSs (PBSs) is modelled as Neyman–Scott cluster process. The authors propose an edge aware cross-tier cooperation scheme to improve the performance of edge hotspot users that have weaker signal-to-interference-plus-noise ratio (SINR). Taking consideration of various user behaviours, non-hotspot users are only served by the nearest macro BS whilst the hotspot users with better SINR are only served by their serving PBSs. The edge hotspot users who suffer from high cross-tier interference operate in the cooperation mode. Stochastic geometry is utilised to derive the SINR and energy efficiency performance of the proposed scheme, which is compared with other classical schemes such as full cooperation (FC) and traditional non-cooperation scheme. Numerical results show that compared with the FC scheme, the proposed scheme can maximise the energy efficiency of the network by an optimal cooperation threshold, when SINR coverage is larger than a threshold. The authors also find that user behaviour have little effect on the tradeoff between SINR Coverage and energy efficiency, unless spatial aggregation coefficient is very small.

References

    1. 1)
    2. 2)
    3. 3)
    4. 4)
    5. 5)
    6. 6)
    7. 7)
    8. 8)
    9. 9)
    10. 10)
    11. 11)
    12. 12)
    13. 13)
      • 19. Deng, N., Zhou, W., Haenggi, M.: ‘Outage and capacity of heterogeneous cellular networks with intra-tier dependence’. Sixth Int. Conf. on Wireless Communications and Signal Processing (WCSP), 2014, October 2014, pp. 15.
    14. 14)
    15. 15)
    16. 16)
    17. 17)
    18. 18)
    19. 19)
      • 12. Qiao, P., Zhong, Y., Zhang, W.: ‘Base station cooperation for energy efficiency: a Gauss-Poisson process approach’. Signal and Information Processing Association Annual Summit and Conf. (APSIPA), 2013 Asia-Pacific, 29 October 2013–1 November 2013, pp. 17.
    20. 20)
    21. 21)
http://iet.metastore.ingenta.com/content/journals/10.1049/iet-com.2016.0125
Loading

Related content

content/journals/10.1049/iet-com.2016.0125
pub_keyword,iet_inspecKeyword,pub_concept
6
6
Loading
This is a required field
Please enter a valid email address