Simultaneous Wireless Information and Power Transfer for MIMO Amplify-and-Forward Relay Systems

被引:3
作者
Benkhelifa, Fatma [1 ]
Alouini, Mohamed-Slim [1 ]
机构
[1] KAUST, Comp Elect & Math Sci & Engn CEMSE Div, Thuwal, Makkah Province, Saudi Arabia
来源
2015 IEEE GLOBAL COMMUNICATIONS CONFERENCE (GLOBECOM) | 2015年
关键词
Energy harvesting; Simultaneous Wireless Information and Power Transfer (SWIPT); MIMO relay systems; Amplify-and-Forward (AF); Rate-Energy (R-E) region; Power Splitting (PS); Time Switching (TS); OPTIMIZATION; DESIGN;
D O I
10.1109/GLOCOM.2015.7417175
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we investigate two-hop Multiple-Input Multiple-Output (MIMO) Amplify-and-Forward (AF) relay communication systems with simultaneous wireless information and power transfer (SWIPT) at the multi-antenna energy harvesting relay. We derive the optimal source and relay covariance matrices to characterize the achievable region between the source-destination rate and the harvested energy at the relay, namely Rate-Energy (R-E) region. In this context, we consider the ideal scenario where the energy harvester (EH) receiver and the information decoder (ID) receiver at the relay can simultaneously decode the information and harvest the energy at the relay. This scheme provides an outer bound for the achievable R-E region since practical energy harvesting circuits are not yet able to harvest the energy and decode the information simultaneously. Then, we consider more practical schemes which are the power splitting (PS) and the time switching (TS) proposed in [1] and which separate the EH and ID transfer over the power domain and the time domain, respectively. In our study, we derive the boundary of the achievable R-E region and we show the effect of the source transmit power, the relay transmit power and the position of the relay between the source and the destination on the achievable R-E region for the ideal scenario and the two practical schemes.
引用
收藏
页数:6
相关论文
共 17 条
  • [1] QUASI-CONCAVE PROGRAMMING
    ARROW, KJ
    ENTHOVEN, AC
    [J]. ECONOMETRICA, 1961, 29 (04) : 779 - 800
  • [2] Boyd S., 2004, CONVEX OPTIMIZATION
  • [3] Chalise B. K., 2012, 2012 1st IEEE International Conference on Communications in China (ICCC 2012), P481, DOI 10.1109/ICCChina.2012.6356931
  • [4] Chalise BK, 2012, INT CONF ACOUST SPEE, P3201, DOI 10.1109/ICASSP.2012.6288596
  • [5] Cover TM, 1991, ELEMENTS INFORM THEO
  • [6] Fang Z, 2006, PR IEEE SEN ARRAY, P239
  • [7] Grant M., CVX: Matlab Software for Disciplined Convex Programming
  • [8] Shannon meets Tesla: Wireless information and power transfer
    Grover, Pulkit
    Sahai, Anant
    [J]. 2010 IEEE INTERNATIONAL SYMPOSIUM ON INFORMATION THEORY, 2010, : 2363 - 2367
  • [9] Kay S. M., 1993, Fundamentals of Statistical Signal Processing-Vol. II: Detection Theory
  • [10] Marshall A W., 1979, Inequalities: Theory of Majorization and Its Applications