TY - GEN
T1 - Energy efficiency analysis of FeICIC in dense heterogeneous networks
AU - Sun, Yanzan
AU - Xu, Han
AU - Zhang, Shunqing
AU - Wu, Yating
AU - Wang, Tao
AU - Fang, Yong
AU - Xu, Shugong
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - Although almost blank subframes (ABS) proposed in heterogeneous networks (HetNet) can enhance the performance of user equipments (UEs) in Pico-cell range expansion (CRE) area, it also significantly degrades the Macro-cell throughput. To address this issue, further-enhanced inter-cell interference coordination (FeICIC) scheme is considered in 3GPP Release 11, where low power ABS (LP-ABS) are adopted for the Macro-cell center region users to improve the Macro-cell throughput. However, LP-ABS power, Pico CRE bias and Pico base station (PBS) density will jointly affect on the system performance, which eventually deteriorates the network energy efficiency (EE) without careful configuration. In this paper, we first deduce the closed-form expression of network EE as a function of PBS density, Pico CRE bias and LP-ABS power based on stochastic geometry model. Then we provide Monte Carlo simulations to verify the accuracy of theoretical derivation of the network EE and analyze the impacts of these parameters on the network EE. The simulation results show that the reasonable PBS density, Pico CRE bias and LP-ABS power can improve the network EE obviously.
AB - Although almost blank subframes (ABS) proposed in heterogeneous networks (HetNet) can enhance the performance of user equipments (UEs) in Pico-cell range expansion (CRE) area, it also significantly degrades the Macro-cell throughput. To address this issue, further-enhanced inter-cell interference coordination (FeICIC) scheme is considered in 3GPP Release 11, where low power ABS (LP-ABS) are adopted for the Macro-cell center region users to improve the Macro-cell throughput. However, LP-ABS power, Pico CRE bias and Pico base station (PBS) density will jointly affect on the system performance, which eventually deteriorates the network energy efficiency (EE) without careful configuration. In this paper, we first deduce the closed-form expression of network EE as a function of PBS density, Pico CRE bias and LP-ABS power based on stochastic geometry model. Then we provide Monte Carlo simulations to verify the accuracy of theoretical derivation of the network EE and analyze the impacts of these parameters on the network EE. The simulation results show that the reasonable PBS density, Pico CRE bias and LP-ABS power can improve the network EE obviously.
KW - Energy efficiency
KW - FeICIC
KW - HetNet
KW - Stochastic geometry
UR - http://www.scopus.com/inward/record.url?scp=85073912092&partnerID=8YFLogxK
U2 - 10.1109/IWCMC.2019.8766474
DO - 10.1109/IWCMC.2019.8766474
M3 - Conference Proceeding
AN - SCOPUS:85073912092
T3 - 2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019
SP - 711
EP - 716
BT - 2019 15th International Wireless Communications and Mobile Computing Conference, IWCMC 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Wireless Communications and Mobile Computing Conference, IWCMC 2019
Y2 - 24 June 2019 through 28 June 2019
ER -