TY - GEN

T1 - Energy-efficient base-station topologies for green cellular networks

AU - Shin, Won Yong

AU - Yi, Hyoseok

AU - Tarokh, Vahid

N1 - Copyright:
Copyright 2013 Elsevier B.V., All rights reserved.

PY - 2013

Y1 - 2013

N2 - We consider the problem of energy-efficient base-station (BS) planning for green cellular network design. There exist a number of criteria for greenness in the literature, but we focus only on the energy-normalized throughput. We first model energy consumption for a heterogeneous network, consisting of macro and micro base-stations, and a network topology. Then, we propose an iterative algorithm for the green BS planning problem in the one-dimensional case: 1) We find the positions of base-stations that maximize the energy-normalized throughput for a fixed number of base-stations, and 2) find the optimal number of base-stations which maximizes the energy-normalized throughput. In this work, we evaluate the energy-normalized throughput accounting for adaptive modulation rates with power control, which is a common feature of modern communications systems. The convergence to a local maximum for the proposed algorithm is shown using computer simulations, and the corresponding energy-normalized throughputs are evaluated for a number of system model parameters.

AB - We consider the problem of energy-efficient base-station (BS) planning for green cellular network design. There exist a number of criteria for greenness in the literature, but we focus only on the energy-normalized throughput. We first model energy consumption for a heterogeneous network, consisting of macro and micro base-stations, and a network topology. Then, we propose an iterative algorithm for the green BS planning problem in the one-dimensional case: 1) We find the positions of base-stations that maximize the energy-normalized throughput for a fixed number of base-stations, and 2) find the optimal number of base-stations which maximizes the energy-normalized throughput. In this work, we evaluate the energy-normalized throughput accounting for adaptive modulation rates with power control, which is a common feature of modern communications systems. The convergence to a local maximum for the proposed algorithm is shown using computer simulations, and the corresponding energy-normalized throughputs are evaluated for a number of system model parameters.

UR - http://www.scopus.com/inward/record.url?scp=84875996902&partnerID=8YFLogxK

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U2 - 10.1109/CCNC.2013.6488431

DO - 10.1109/CCNC.2013.6488431

M3 - Conference contribution

AN - SCOPUS:84875996902

SN - 9781467331333

T3 - 2013 IEEE 10th Consumer Communications and Networking Conference, CCNC 2013

SP - 91

EP - 96

BT - 2013 IEEE 10th Consumer Communications and Networking Conference, CCNC 2013

T2 - 2013 IEEE 10th Consumer Communications and Networking Conference, CCNC 2013

Y2 - 11 January 2013 through 14 January 2013

ER -