arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1601.01435cs.ITmath.IT
收藏

人工噪声辅助的OFDMA系统中的保密信息和功率传输

Artificial Noise Aided Secrecy Information and Power Transfer in OFDMA Systems

Meng Zhang, Yuan Liu, Rui Zhang

摘要:

本文研究了正交频分多址(OFDMA)系统中信息接收机(IR)和能量接收机(ER)共存的同时无线信息和功率传输(SWIPT)问题。IR被服务于尽力保密数据,并且ER以最小所需的收获功率收获能量。为了提高IR的物理层安全性,同时满足ER的能量收集要求,我们提出了一种新的频域人工噪声(AN)辅助传输策略。在新策略下,我们研究了发送端功率和子载波分配对IR加权和保密率最大化的最优资源分配。所研究的问题被证明是一个混合整数规划问题,因此非凸的,而我们提出了一个有效的算法来解决它的基础上的拉格朗日对偶方法。为了进一步降低计算复杂性,我们还提出了一个次优算法的复杂度较低。仿真结果表明,与其他启发式方案相比,所提出的算法的有效性。

英文摘要:

In this paper, we study simultaneous wireless information and power transfer (SWIPT) in orthogonal frequency division multiple access (OFDMA) systems with the coexistence of information receivers (IRs) and energy receivers (ERs). The IRs are served with best-effort secrecy data and the ERs harvest energy with minimum required harvested power. To enhance the physical layer security for IRs and yet satisfy energy harvesting requirements for ERs, we propose a new frequency domain artificial noise (AN) aided transmission strategy. With the new strategy, we study the optimal resource allocation for the weighted sum secrecy rate maximization for IRs by power and subcarrier allocation at the transmitter. The studied problem is shown to be a mixed integer programming problem and thus non-convex, while we propose an efficient algorithm for solving it based on the Lagrange duality method. To further reduce the computational complexity, we also propose a suboptimal algorithm of lower complexity. The simulation results illustrate the effectiveness of proposed algorithms as compared against other heuristic schemes.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑