Energy-Efficient Resource Allocation in Sensing-Based Spectrum Sharing for Cooperative Cognitive Radio Networks
Summary :
Energy-efficient resource allocation is considered in sensing-based spectrum sharing for cooperative cognitive radio networks (CCRNs). The secondary user first listens to the spectrum allocated to the primary user (PU) to detect the PU state and then initiates data transmission with two power levels based on the sensing decision (e.g., idle or busy). Under this model, the optimization problem of maximizing energy efficiency (EE) is formulated over the transmission power and sensing time subject to some practical limitations, such as the individual power constraint for secondary source and relay, the quality of service (QoS) for the secondary system, and effective protection for the PU. Given the complexity of this problem, two simplified versions (i.e., perfect and imperfect sensing cases) are studied in this paper. We transform the considered problem in fractional form into an equivalent optimization problem in subtractive form. Then, for perfect sensing, the Lagrange dual decomposition and iterative algorithm are applied to acquire the optimal power allocation policy; for imperfect sensing, an exhaustive search and iterative algorithm are proposed to obtain the optimal sensing time and corresponding power allocation strategy. Finally, numerical results show that the energy-efficient design greatly improves EE compared with the conventional spectrum-efficient design.
- Publication
- IEICE TRANSACTIONS on Communications Vol.E99-B No.8 pp.1763-1771
- Publication Date
- 2016/08/01
- Publicized
- Online ISSN
- 1745-1345
- DOI
- 10.1587/transcom.2015CCP0026
- Type of Manuscript
- Special Section PAPER (Special Section on Advanced Information and Communication Technologies and Services in Conjunction with Main Topics of APCC2015)
- Category
- Wireless Communication Technologies
Authors
Wanming HAO
the Kyushu University
Shouyi YANG
Zhengzhou University
Osamu MUTA
the Kyushu University
Haris GACANIN
Nokia
Hiroshi FURUKAWA
the Kyushu University
Keyword
Latest Issue
Copyrights notice of machine-translated contents
The copyright of the original papers published on this site belongs to IEICE. Unauthorized use of the original or translated papers is prohibited. See IEICE Provisions on Copyright for details.
Cite this
Copy
Wanming HAO, Shouyi YANG, Osamu MUTA, Haris GACANIN, Hiroshi FURUKAWA, "Energy-Efficient Resource Allocation in Sensing-Based Spectrum Sharing for Cooperative Cognitive Radio Networks" in IEICE TRANSACTIONS on Communications,
vol. E99-B, no. 8, pp. 1763-1771, August 2016, doi: 10.1587/transcom.2015CCP0026.
Abstract: Energy-efficient resource allocation is considered in sensing-based spectrum sharing for cooperative cognitive radio networks (CCRNs). The secondary user first listens to the spectrum allocated to the primary user (PU) to detect the PU state and then initiates data transmission with two power levels based on the sensing decision (e.g., idle or busy). Under this model, the optimization problem of maximizing energy efficiency (EE) is formulated over the transmission power and sensing time subject to some practical limitations, such as the individual power constraint for secondary source and relay, the quality of service (QoS) for the secondary system, and effective protection for the PU. Given the complexity of this problem, two simplified versions (i.e., perfect and imperfect sensing cases) are studied in this paper. We transform the considered problem in fractional form into an equivalent optimization problem in subtractive form. Then, for perfect sensing, the Lagrange dual decomposition and iterative algorithm are applied to acquire the optimal power allocation policy; for imperfect sensing, an exhaustive search and iterative algorithm are proposed to obtain the optimal sensing time and corresponding power allocation strategy. Finally, numerical results show that the energy-efficient design greatly improves EE compared with the conventional spectrum-efficient design.
URL: https://global.ieice.org/en_transactions/communications/10.1587/transcom.2015CCP0026/_p
Copy
@ARTICLE{e99-b_8_1763,
author={Wanming HAO, Shouyi YANG, Osamu MUTA, Haris GACANIN, Hiroshi FURUKAWA, },
journal={IEICE TRANSACTIONS on Communications},
title={Energy-Efficient Resource Allocation in Sensing-Based Spectrum Sharing for Cooperative Cognitive Radio Networks},
year={2016},
volume={E99-B},
number={8},
pages={1763-1771},
abstract={Energy-efficient resource allocation is considered in sensing-based spectrum sharing for cooperative cognitive radio networks (CCRNs). The secondary user first listens to the spectrum allocated to the primary user (PU) to detect the PU state and then initiates data transmission with two power levels based on the sensing decision (e.g., idle or busy). Under this model, the optimization problem of maximizing energy efficiency (EE) is formulated over the transmission power and sensing time subject to some practical limitations, such as the individual power constraint for secondary source and relay, the quality of service (QoS) for the secondary system, and effective protection for the PU. Given the complexity of this problem, two simplified versions (i.e., perfect and imperfect sensing cases) are studied in this paper. We transform the considered problem in fractional form into an equivalent optimization problem in subtractive form. Then, for perfect sensing, the Lagrange dual decomposition and iterative algorithm are applied to acquire the optimal power allocation policy; for imperfect sensing, an exhaustive search and iterative algorithm are proposed to obtain the optimal sensing time and corresponding power allocation strategy. Finally, numerical results show that the energy-efficient design greatly improves EE compared with the conventional spectrum-efficient design.},
keywords={},
doi={10.1587/transcom.2015CCP0026},
ISSN={1745-1345},
month={August},}
Copy
TY - JOUR
TI - Energy-Efficient Resource Allocation in Sensing-Based Spectrum Sharing for Cooperative Cognitive Radio Networks
T2 - IEICE TRANSACTIONS on Communications
SP - 1763
EP - 1771
AU - Wanming HAO
AU - Shouyi YANG
AU - Osamu MUTA
AU - Haris GACANIN
AU - Hiroshi FURUKAWA
PY - 2016
DO - 10.1587/transcom.2015CCP0026
JO - IEICE TRANSACTIONS on Communications
SN - 1745-1345
VL - E99-B
IS - 8
JA - IEICE TRANSACTIONS on Communications
Y1 - August 2016
AB - Energy-efficient resource allocation is considered in sensing-based spectrum sharing for cooperative cognitive radio networks (CCRNs). The secondary user first listens to the spectrum allocated to the primary user (PU) to detect the PU state and then initiates data transmission with two power levels based on the sensing decision (e.g., idle or busy). Under this model, the optimization problem of maximizing energy efficiency (EE) is formulated over the transmission power and sensing time subject to some practical limitations, such as the individual power constraint for secondary source and relay, the quality of service (QoS) for the secondary system, and effective protection for the PU. Given the complexity of this problem, two simplified versions (i.e., perfect and imperfect sensing cases) are studied in this paper. We transform the considered problem in fractional form into an equivalent optimization problem in subtractive form. Then, for perfect sensing, the Lagrange dual decomposition and iterative algorithm are applied to acquire the optimal power allocation policy; for imperfect sensing, an exhaustive search and iterative algorithm are proposed to obtain the optimal sensing time and corresponding power allocation strategy. Finally, numerical results show that the energy-efficient design greatly improves EE compared with the conventional spectrum-efficient design.
ER -
English
