Optimal precoding for energy harvesting cognitive radio
Rui ZHU1,2,Yunzhou LI1(),Jing WANG1
1. State Key Laboratory of Microware and Digital Communication, Tsinghua National Laboratory for Information Science andTechnology, State Key Laboratory of Wireless Mobile Communications, Department of Electronic Engineering, Tsinghua University, Beijing 100084, China 2. Department of information Countermeasure, Air Force Engineering University, Shannxi 710077, China
Cognitive radio (CR) can effectively improve spectrum efficiencies while energy harvesting (EH) gives green communications. However, these methods have always been analyzed separately. The small amount of combined research has used the Gaussian input assumption. These drawbacks limit practical applications of combined systems. This study analyzed a combined system using the equip probability finite-alphabet input assumption which is more suitable for digital communication signals. A pre-coder algorithm was developed based on the stochastic dynamic program to improve the system utility. Numerical results show that the algorithm performance approaches the channel capacity upper bound for the combined system.
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2014, Vol. 54 
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