Aggregate interference statistical modeling and user outage analysis of heterogeneous cellular networks

Tiankui Zhang, Lu An, Yue Chen, Kok Keong Chai
2014 2014 IEEE International Conference on Communications (ICC)  
The heterogeneous cellular networks (HCNs) will be the typical layout of the next generation mobile networks. Understanding the aggregate interference from multi-tier heterogeneous base stations (BSs) of HCNs is the key for research on network deployment and interference management. In this paper, we propose a statistical model for quantifying the aggregate interference in HCNs and evaluating its impact on system performance. We first model the distribution of multitier heterogeneous BSs as
more » ... ial Poisson point process and derive the characteristic function (CF) of the downlink aggregate interference for a specific target user. We review the CF of single-tier network interference and proof that the aggregate interference of HCNs follows the stable distribution, based on which, we derive statistical characterization of aggregate interference amplitude and power, respectively. Then, we propose an aggregate interference statistical model based on truncated-stable distribution. Finally, the users outage probability of the HCNs is analysed via the proposed model. The proposed model is validated with simulation. This work provides essential understanding of interference of HCNs and gives insights which can facilitate system performance analysis and interference management. IEEE ICC 2014 -Communication QoS, Reliability and Modeling Symposium 978-1-4799-2003-7/14/$31.00 ©2014 IEEE
doi:10.1109/icc.2014.6883494 dblp:conf/icc/ZhangACC14 fatcat:64oe44zm4bg4vdbajcc5427pyy