TY - GEN
T1 - Performance analysis of two-tier networks with closed access small-cells
AU - Ghatak, Gourab
AU - De Domenico, Antonio
AU - Coupechoux, Marceau
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/15
Y1 - 2016/6/15
N2 - The future demands of high data spectral efficiency and ubiquitous coverage are pushing the next generation of cellular networks towards network densification with massive deployments of small cells to complement macro base stations. In this paper, we study a network comprising of closed access small cells along with macro base stations using stochastic geometry. First, the cell association probability is characterized. Additionally, approximate values of the average downlink signal to interference and noise ratio (SINR) and the downlink spectral efficiency are derived. These derivations are carried out without using the classical approach of solving a Laplace functional. For this, the statistical independence of the useful signals and interference powers is exploited. The obtained results can be used to optimize the small cell network deployment and the inter-cell interference coordination functions.
AB - The future demands of high data spectral efficiency and ubiquitous coverage are pushing the next generation of cellular networks towards network densification with massive deployments of small cells to complement macro base stations. In this paper, we study a network comprising of closed access small cells along with macro base stations using stochastic geometry. First, the cell association probability is characterized. Additionally, approximate values of the average downlink signal to interference and noise ratio (SINR) and the downlink spectral efficiency are derived. These derivations are carried out without using the classical approach of solving a Laplace functional. For this, the statistical independence of the useful signals and interference powers is exploited. The obtained results can be used to optimize the small cell network deployment and the inter-cell interference coordination functions.
UR - https://www.scopus.com/pages/publications/84979670153
U2 - 10.1109/WIOPT.2016.7492956
DO - 10.1109/WIOPT.2016.7492956
M3 - Conference contribution
AN - SCOPUS:84979670153
T3 - 2016 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2016
BT - 2016 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 14th International Symposium on Modeling and Optimization in Mobile, Ad Hoc, and Wireless Networks, WiOpt 2016
Y2 - 9 May 2016 through 13 May 2016
ER -