TY - JOUR
T1 - A Framework for Uplink Intercell Interference Modeling with Channel-Based Scheduling
AU - Tabassum, Hina
AU - Yilmaz, Ferkan
AU - Dawy, Zaher
AU - Alouini, Mohamed-Slim
N1 - KAUST Repository Item: Exported on 2020-10-01
PY - 2012/12/11
Y1 - 2012/12/11
N2 - This paper presents a novel framework for modeling the uplink intercell interference(ICI) in a multiuser cellular network. The proposed framework assists in quantifying the impact of various fading channel models and state-of-the-art scheduling schemes on the uplink ICI. Firstly, we derive a semianalytical expression for the distribution of the location of the scheduled user in a given cell considering a wide range of
scheduling schemes. Based on this, we derive the distribution and moment generating function (MGF) of the uplink ICI considering a single interfering cell. Consequently, we determine the MGF of the cumulative ICI observed from all interfering cells and derive explicit MGF expressions for three typical fading models. Finally, we utilize the obtained expressions to evaluate important network performance metrics such as the outage probability, ergodic capacity, and average fairness numerically. Monte-Carlo
simulation results are provided to demonstrate the efficacy of the derived analytical expressions.
AB - This paper presents a novel framework for modeling the uplink intercell interference(ICI) in a multiuser cellular network. The proposed framework assists in quantifying the impact of various fading channel models and state-of-the-art scheduling schemes on the uplink ICI. Firstly, we derive a semianalytical expression for the distribution of the location of the scheduled user in a given cell considering a wide range of
scheduling schemes. Based on this, we derive the distribution and moment generating function (MGF) of the uplink ICI considering a single interfering cell. Consequently, we determine the MGF of the cumulative ICI observed from all interfering cells and derive explicit MGF expressions for three typical fading models. Finally, we utilize the obtained expressions to evaluate important network performance metrics such as the outage probability, ergodic capacity, and average fairness numerically. Monte-Carlo
simulation results are provided to demonstrate the efficacy of the derived analytical expressions.
UR - http://hdl.handle.net/10754/263777
UR - http://arxiv.org/abs/1211.4372
UR - http://www.scopus.com/inward/record.url?scp=84873098780&partnerID=8YFLogxK
U2 - 10.1109/TWC.2012.120412.112244
DO - 10.1109/TWC.2012.120412.112244
M3 - Article
SN - 1536-1276
VL - 12
SP - 206
EP - 217
JO - IEEE Transactions on Wireless Communications
JF - IEEE Transactions on Wireless Communications
IS - 1
ER -