Research Repository

Information and Energy Cooperation in Cognitive Radio Networks

Zheng, Gan and Ho, Zuleita and Jorswieck, Eduard A and Ottersten, Bjorn (2014) 'Information and Energy Cooperation in Cognitive Radio Networks.' IEEE Transactions on Signal Processing, 62 (9). pp. 2290-2303. ISSN 1053-587X

[img]
Preview
Text
1403.5648v1.pdf - Accepted Version

Download (371kB) | Preview

Abstract

Cooperation between the primary and secondary systems can improve the spectrum efficiency in cognitive radio networks. The key idea is that the secondary system helps to boost the primary system's performance by relaying, and, in return, the primary system provides more opportunities for the secondary system to access the spectrum. In contrast to most of existing works that only consider information cooperation, this paper studies joint information and energy cooperation between the two systems, i.e., the primary transmitter sends information for relaying and feeds the secondary system with energy as well. This is particularly useful when the secondary transmitter has good channel quality to the primary receiver but is energy constrained. We propose and study three schemes that enable this cooperation. First, we assume there exists an ideal backhaul between the two systems for information and energy transfer. We then consider two wireless information and energy transfer schemes from the primary transmitter to the secondary transmitter using power splitting and time splitting energy harvesting techniques, respectively. For each scheme, the optimal and zero-forcing solutions are derived. Simulation results demonstrate promising performance gain for both systems due to the additional energy cooperation. It is also revealed that the power splitting scheme can achieve larger rate region than the time splitting scheme when the efficiency of the energy transfer is sufficiently large.

Item Type: Article
Uncontrolled Keywords: Cognitive radio cognitive relaying energy harvesting information and energy cooperation wireless energy transfer
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
T Technology > TK Electrical engineering. Electronics Nuclear engineering
Divisions: Faculty of Science and Health > Computer Science and Electronic Engineering, School of
Depositing User: Jim Jamieson
Date Deposited: 03 Dec 2014 11:22
Last Modified: 03 Dec 2014 11:22
URI: http://repository.essex.ac.uk/id/eprint/11962

Actions (login required)

View Item View Item