TY - JOUR
T1 - Uplink decentralized joint bandwidth and power allocation for energy-efficient operation in a heterogeneous wireless medium
AU - Ismail, Muhammad
AU - Gamage, Amila Tharaperiya
AU - Zhuang, Weihua
AU - Shen, Xuemin
AU - Serpedin, Erchin
AU - Qaraqe, Khalid
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/4/1
Y1 - 2015/4/1
N2 - In this paper, energy efficient uplink communications are investigated for battery-constrained mobile terminals (MTs) with service quality requirements and multi-homing capabilities. A heterogeneous wireless medium is considered, where MTs communicate with base stations (BSs) and access points (APs) of different networks with overlapped coverage. Different from the existing works, we develop a quality of service (QoS)-based optimization framework for joint uplink bandwidth and power allocation to maximize energy efficiency for a set of MTs with multi-homing capabilities. The proposed framework is implemented in a decentralized architecture, through coordination among BSs/APs of different networks and MTs, which is a desirable feature when different networks are operated by different service providers. A suboptimal framework is presented with a reduced computational complexity as compared with the optimal framework. Simulation results demonstrate the improved performance of both the optimal and suboptimal frameworks over a state-of-the-art benchmark.
AB - In this paper, energy efficient uplink communications are investigated for battery-constrained mobile terminals (MTs) with service quality requirements and multi-homing capabilities. A heterogeneous wireless medium is considered, where MTs communicate with base stations (BSs) and access points (APs) of different networks with overlapped coverage. Different from the existing works, we develop a quality of service (QoS)-based optimization framework for joint uplink bandwidth and power allocation to maximize energy efficiency for a set of MTs with multi-homing capabilities. The proposed framework is implemented in a decentralized architecture, through coordination among BSs/APs of different networks and MTs, which is a desirable feature when different networks are operated by different service providers. A suboptimal framework is presented with a reduced computational complexity as compared with the optimal framework. Simulation results demonstrate the improved performance of both the optimal and suboptimal frameworks over a state-of-the-art benchmark.
KW - Energy efficient communications
KW - green communications
KW - heterogeneous wireless medium
KW - multi-homing resource allocation
UR - http://www.scopus.com/inward/record.url?scp=84928339592&partnerID=8YFLogxK
U2 - 10.1109/TCOMM.2015.2408601
DO - 10.1109/TCOMM.2015.2408601
M3 - Article
AN - SCOPUS:84928339592
SN - 1558-0857
VL - 63
SP - 1483
EP - 1495
JO - IEEE Transactions on Communications
JF - IEEE Transactions on Communications
IS - 4
M1 - 7054502
ER -