TY - GEN

T1 - Queue-aware small cell activation for energy efficiency in two-tier heterogeneous networks

AU - Kong, Fancheng

AU - Sun, Xinghua

AU - Leung, Victor C. M.

AU - Guo, Y. Jay

AU - Zhu, Qi

AU - Zhu, Hongbo

PY - 2017

Y1 - 2017

N2 - In heterogeneous networks (HetNets), the network energy efficiency is critically determined by the base station (BS) deployment density. In this paper, we consider a BS density optimization problem by turning on only a fraction of micro BSs according to an activation ratio to minimize the network average power consumption per area in a 2- tier HetNet. In contrast to previous studies where a BS is assumed to be transmitting packets all the time, such that the network power consumption monotonically increases as the BS density increases, we assume that each BS can be busy or idle depending on the dynamic packet arrivals. The network power consumption is thus closely related to the average traffic intensity of each tier. With the assumption of universal spectrum reuse, the average traffic intensity of each tier is found to be uniquely determined by a set of fixed-point equations, based on which the network average power consumption per area is characterized. Simulation results demonstrate that the network average power consumption per area can be minimized by properly tuning the activation ratio. It is further revealed that the optimal activation ratio increases as the mean packet arrival rate of each user increases.

AB - In heterogeneous networks (HetNets), the network energy efficiency is critically determined by the base station (BS) deployment density. In this paper, we consider a BS density optimization problem by turning on only a fraction of micro BSs according to an activation ratio to minimize the network average power consumption per area in a 2- tier HetNet. In contrast to previous studies where a BS is assumed to be transmitting packets all the time, such that the network power consumption monotonically increases as the BS density increases, we assume that each BS can be busy or idle depending on the dynamic packet arrivals. The network power consumption is thus closely related to the average traffic intensity of each tier. With the assumption of universal spectrum reuse, the average traffic intensity of each tier is found to be uniquely determined by a set of fixed-point equations, based on which the network average power consumption per area is characterized. Simulation results demonstrate that the network average power consumption per area can be minimized by properly tuning the activation ratio. It is further revealed that the optimal activation ratio increases as the mean packet arrival rate of each user increases.

KW - Activation ratio

KW - Average traffic intensity

KW - Heterogeneous network

KW - Network average power consumption

UR - http://www.scopus.com/inward/record.url?scp=85019663273&partnerID=8YFLogxK

U2 - 10.1109/WCNC.2017.7925544

DO - 10.1109/WCNC.2017.7925544

M3 - Conference proceeding contribution

AN - SCOPUS:85019663273

SN - 9781509041848

BT - 2017 IEEE Wireless Communications and Networking Conference (WCNC)

PB - Institute of Electrical and Electronics Engineers (IEEE)

CY - Piscataway, NJ

T2 - 2017 IEEE Wireless Communications and Networking Conference (WCNC)

Y2 - 19 March 2017 through 22 March 2017

ER -