TY - GEN
T1 - Statistical characterization of uplink interference in two-tier co-channel femtocell networks
AU - Chakchouk, Nessrine
AU - Hamdaoui, Bechir
PY - 2012
Y1 - 2012
N2 - Femtocell (FC) is a new networking paradigm that differs from the traditional, macrocell (MC) network in many ways: size/coverage, random deployment, autonomous operation, signal propagation environment, etc. Inter-cell interference is a major issue in FCs operating over the same channel as the underlying MC. In this paper, we present an analytic study of the uplink (UL) physical interference and other related metrics, namely the signal to interference ratio (SIR) and the outage probability in FCs. We consider a stochastic model in which the spatial distribution of the femto users (FUs) and the macro users (MUs) is described by two independent, homogeneous Poisson Point Processes (PPPs). We first characterize the UL interference at the FC by deriving its first and second order statistics, its probability density function (PDF) and its tail distribution. Second, we derive the PDF of the per-FU SIR, its temporal autocorrelation and the outage probability. Finally, we validate the derived outage probability via Monte-Carlo simulations and show how this probability constrains the system capacity in terms of number (or density) of FUs that could be accepted in the MC.
AB - Femtocell (FC) is a new networking paradigm that differs from the traditional, macrocell (MC) network in many ways: size/coverage, random deployment, autonomous operation, signal propagation environment, etc. Inter-cell interference is a major issue in FCs operating over the same channel as the underlying MC. In this paper, we present an analytic study of the uplink (UL) physical interference and other related metrics, namely the signal to interference ratio (SIR) and the outage probability in FCs. We consider a stochastic model in which the spatial distribution of the femto users (FUs) and the macro users (MUs) is described by two independent, homogeneous Poisson Point Processes (PPPs). We first characterize the UL interference at the FC by deriving its first and second order statistics, its probability density function (PDF) and its tail distribution. Second, we derive the PDF of the per-FU SIR, its temporal autocorrelation and the outage probability. Finally, we validate the derived outage probability via Monte-Carlo simulations and show how this probability constrains the system capacity in terms of number (or density) of FUs that could be accepted in the MC.
KW - Femtocells
KW - Large Deviations
KW - Outage Probability
KW - Poisson Point Process
KW - SIR
KW - Temporal Correlation
UR - http://www.scopus.com/inward/record.url?scp=84869166844&partnerID=8YFLogxK
U2 - 10.1109/IWCMC.2012.6314336
DO - 10.1109/IWCMC.2012.6314336
M3 - Conference contribution
AN - SCOPUS:84869166844
SN - 9781457713781
T3 - IWCMC 2012 - 8th International Wireless Communications and Mobile Computing Conference
SP - 968
EP - 973
BT - IWCMC 2012 - 8th International Wireless Communications and Mobile Computing Conference
T2 - 8th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2012
Y2 - 27 August 2012 through 31 August 2012
ER -