TY - GEN
T1 - Resource allocation based uplink intercell interference model in multi-carrier networks
AU - Tabassum, Hina
AU - Yilmaz, Ferkan
AU - Dawy, Zaher
AU - Alouini, Mohamed Slim
PY - 2013
Y1 - 2013
N2 - Intercell interference (ICI) is a primary cause for performance limitation in emerging wireless cellular systems due to its highly indeterministic nature. In this paper, we derive an analytical statistical model for the uplink ICI in a multiuser multi-carrier cellular network considering the impact of various uncoordinated scheduling schemes on the locations and transmit powers of the interferers. The derived model applies to generic composite fading distributions and provides a useful computational tool to evaluate key performance metrics such as the network ergodic capacity. The derived model is extended to incorporate coordinated scheduling schemes. A study is then presented to quantify the potential performance gains of coordinated over uncoordinated scheduling schemes under various base station coordination scenarios. Numerical results demonstrate that different frequency allocation patterns significantly impact the network performance depending on the coordination among neighboring base stations. The accuracy of the derived analytical expressions is verified via Monte-Carlo simulations.
AB - Intercell interference (ICI) is a primary cause for performance limitation in emerging wireless cellular systems due to its highly indeterministic nature. In this paper, we derive an analytical statistical model for the uplink ICI in a multiuser multi-carrier cellular network considering the impact of various uncoordinated scheduling schemes on the locations and transmit powers of the interferers. The derived model applies to generic composite fading distributions and provides a useful computational tool to evaluate key performance metrics such as the network ergodic capacity. The derived model is extended to incorporate coordinated scheduling schemes. A study is then presented to quantify the potential performance gains of coordinated over uncoordinated scheduling schemes under various base station coordination scenarios. Numerical results demonstrate that different frequency allocation patterns significantly impact the network performance depending on the coordination among neighboring base stations. The accuracy of the derived analytical expressions is verified via Monte-Carlo simulations.
UR - http://www.scopus.com/inward/record.url?scp=84893610800&partnerID=8YFLogxK
U2 - 10.1109/VTCSpring.2013.6692737
DO - 10.1109/VTCSpring.2013.6692737
M3 - Conference contribution
AN - SCOPUS:84893610800
SN - 9781467363372
T3 - IEEE Vehicular Technology Conference
BT - 2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013 - Proceedings
T2 - 2013 IEEE 77th Vehicular Technology Conference, VTC Spring 2013
Y2 - 2 June 2013 through 5 June 2013
ER -