Cooperative encryption over backscatter: Secure green communication for two-way energy harvesting relay networks
Siyang Xu,
Xin Song,
Suyuan Li,
Jing Cao,
Jiahui Zhu,
Zhigang Xie
Affiliations
Siyang Xu
School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China; College of Computer Science and Engineering, Northeastern University, Shenyang 110819, China
Xin Song
School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China; College of Computer Science and Engineering, Northeastern University, Shenyang 110819, China; Corresponding author.
Suyuan Li
School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China; College of Computer Science and Engineering, Northeastern University, Shenyang 110819, China
Jing Cao
School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China; College of Computer Science and Engineering, Northeastern University, Shenyang 110819, China
Jiahui Zhu
School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China; College of Computer Science and Engineering, Northeastern University, Shenyang 110819, China
Zhigang Xie
School of Computer and Communication Engineering, Northeastern University at Qinhuangdao, Qinhuangdao 066004, China; College of Computer Science and Engineering, Northeastern University, Shenyang 110819, China
This paper focuses on the design of a novel cooperative jamming strategy and resource allocation scheme in two-way energy harvesting (EH) relay networks. For solving the security vulnerability challenges, a backscatter jamming strategy is proposed by leveraging the information signals as the carrier, which can degrade the eavesdropping link without extra energy consumption, delay and strict synchronization requirement. Based on the above design, we formulate the secure energy efficiency (SEE) maximization problem by jointly optimizing the transmission powers of two sources, two different power splitting (PS) factors and time allocation factor. Although the resulting optimization problem is highly non-convex due to fractional objective function and multivariate coupling, an iterative algorithm is developed to convert the original problem into a tractable version and obtain the resource allocation solutions. Simulation results show that the achievable SEE of the proposed scheme is better than other conventional schemes.
