TY - JOUR
T1 - Base station activation and linear transceiver design for optimal resource management in heterogeneous networks
AU - Liao, Wei Cheng
AU - Hong, Mingyi
AU - Liu, Ya Feng
AU - Luo, Zhi Quan
PY - 2014/8/1
Y1 - 2014/8/1
N2 - In a densely deployed heterogeneous network (HetNet), the number of pico/micro base stations (BS) can be comparable with the number of the users. To reduce the operational overhead of the HetNet, proper identification of the set of serving BSs becomes an important design issue. In this work, we show that by jointly optimizing the transceivers and determining the active set of BSs, high system resource utilization can be achieved with only a small number of BSs. In particular, we provide formulations and efficient algorithms for such joint optimization problem, under the following two common design criteria: i) minimization of the total power consumption at the BSs, and ii) maximization of the system spectrum efficiency. In both cases, we introduce a nonsmooth regularizer to facilitate the activation of the most appropriate BSs. We illustrate the efficiency and the efficacy of the proposed algorithms via extensive numerical simulations.
AB - In a densely deployed heterogeneous network (HetNet), the number of pico/micro base stations (BS) can be comparable with the number of the users. To reduce the operational overhead of the HetNet, proper identification of the set of serving BSs becomes an important design issue. In this work, we show that by jointly optimizing the transceivers and determining the active set of BSs, high system resource utilization can be achieved with only a small number of BSs. In particular, we provide formulations and efficient algorithms for such joint optimization problem, under the following two common design criteria: i) minimization of the total power consumption at the BSs, and ii) maximization of the system spectrum efficiency. In both cases, we introduce a nonsmooth regularizer to facilitate the activation of the most appropriate BSs. We illustrate the efficiency and the efficacy of the proposed algorithms via extensive numerical simulations.
KW - Alternating Direction Method of Multipliers (ADMM)
KW - LASSO
KW - base station selection/clustering
KW - heterogeneous networks
KW - weighted MMSE algorithm
UR - http://www.scopus.com/inward/record.url?scp=84904603004&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84904603004&partnerID=8YFLogxK
U2 - 10.1109/TSP.2014.2331611
DO - 10.1109/TSP.2014.2331611
M3 - Article
AN - SCOPUS:84904603004
SN - 1053-587X
VL - 62
SP - 3939
EP - 3952
JO - IEEE Transactions on Signal Processing
JF - IEEE Transactions on Signal Processing
IS - 15
M1 - 6847222
ER -