Energy-Efficient Resource Allocation for Multi-Radio Access in Dynamic and Heterogeneous Wireless Networks
Summary :
In this paper, by jointly considering power allocation and network selection, we address the energy efficiency maximization problem in dynamic and heterogeneous wireless networks, where user equipments are typically equipped with multi-homing capability. In order to effectively deal with the dynamics of heterogeneous wireless networks, a stochastic optimization problem is formulated that optimizes the long-term energy efficiency under the constraints of system stability, peak power consumption and average transmission rate. By adopting the parametric approach and Lyapunov optimization, we derive an equivalent optimization problem out of the original problem and then investigate its optimal resource allocation. Then, to reduce the computational complexity, a suboptimal resource allocation algorithm is proposed based on relaxed optimization, which adapts to time-varying channels and stochastic traffic without requiring relevant a priori knowledge. The simulation results demonstrate the theoretical analysis and validate the adaptiveness of our proposed algorithm.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E99-B No.6 pp.1386-1394
- Publication Date
- 2016/06/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2015EBP3151
- Type of Manuscript
- PAPER
- Category
- Wireless Communication Technologies
Authors
Fan YANG
Xidian University
Qinghai YANG
Xidian University
Kyung Sup KWAK
Inha University
Keyword
Latest Issue
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Fan YANG, Qinghai YANG, Kyung Sup KWAK, "Energy-Efficient Resource Allocation for Multi-Radio Access in Dynamic and Heterogeneous Wireless Networks" in IEICE TRANSACTIONS on Communications,
vol. E99-B, no. 6, pp. 1386-1394, June 2016, doi: 10.1587/transcom.2015EBP3151.
Abstract: In this paper, by jointly considering power allocation and network selection, we address the energy efficiency maximization problem in dynamic and heterogeneous wireless networks, where user equipments are typically equipped with multi-homing capability. In order to effectively deal with the dynamics of heterogeneous wireless networks, a stochastic optimization problem is formulated that optimizes the long-term energy efficiency under the constraints of system stability, peak power consumption and average transmission rate. By adopting the parametric approach and Lyapunov optimization, we derive an equivalent optimization problem out of the original problem and then investigate its optimal resource allocation. Then, to reduce the computational complexity, a suboptimal resource allocation algorithm is proposed based on relaxed optimization, which adapts to time-varying channels and stochastic traffic without requiring relevant a priori knowledge. The simulation results demonstrate the theoretical analysis and validate the adaptiveness of our proposed algorithm.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2015EBP3151/_p
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@ARTICLE{e99-b_6_1386,
author={Fan YANG, Qinghai YANG, Kyung Sup KWAK, },
journal={IEICE TRANSACTIONS on Communications},
title={Energy-Efficient Resource Allocation for Multi-Radio Access in Dynamic and Heterogeneous Wireless Networks},
year={2016},
volume={E99-B},
number={6},
pages={1386-1394},
abstract={In this paper, by jointly considering power allocation and network selection, we address the energy efficiency maximization problem in dynamic and heterogeneous wireless networks, where user equipments are typically equipped with multi-homing capability. In order to effectively deal with the dynamics of heterogeneous wireless networks, a stochastic optimization problem is formulated that optimizes the long-term energy efficiency under the constraints of system stability, peak power consumption and average transmission rate. By adopting the parametric approach and Lyapunov optimization, we derive an equivalent optimization problem out of the original problem and then investigate its optimal resource allocation. Then, to reduce the computational complexity, a suboptimal resource allocation algorithm is proposed based on relaxed optimization, which adapts to time-varying channels and stochastic traffic without requiring relevant a priori knowledge. The simulation results demonstrate the theoretical analysis and validate the adaptiveness of our proposed algorithm.},
keywords={},
doi={10.1587/transcom.2015EBP3151},
ISSN={1745-1345},
month={June},}
Copy
TY - JOUR
TI - Energy-Efficient Resource Allocation for Multi-Radio Access in Dynamic and Heterogeneous Wireless Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1386
EP - 1394
AU - Fan YANG
AU - Qinghai YANG
AU - Kyung Sup KWAK
PY - 2016
DO - 10.1587/transcom.2015EBP3151
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 6
JA - IEICE TRANSACTIONS on Communications
Y1 - June 2016
AB - In this paper, by jointly considering power allocation and network selection, we address the energy efficiency maximization problem in dynamic and heterogeneous wireless networks, where user equipments are typically equipped with multi-homing capability. In order to effectively deal with the dynamics of heterogeneous wireless networks, a stochastic optimization problem is formulated that optimizes the long-term energy efficiency under the constraints of system stability, peak power consumption and average transmission rate. By adopting the parametric approach and Lyapunov optimization, we derive an equivalent optimization problem out of the original problem and then investigate its optimal resource allocation. Then, to reduce the computational complexity, a suboptimal resource allocation algorithm is proposed based on relaxed optimization, which adapts to time-varying channels and stochastic traffic without requiring relevant a priori knowledge. The simulation results demonstrate the theoretical analysis and validate the adaptiveness of our proposed algorithm.
ER -
English
