Analysis of the Packet Loss Probability in Energy Harvesting Cognitive Radio Networks

A Markovian battery model is proposed to provide the variation of energy states for energy harvesting (EH) secondary users (SUs) in the EH cognitive radio network (CRN). Based on the proposed battery model, we derive the packet loss probability in the EH SUs due to sensing inaccuracy and energy outage. With the proposed analysis, the packet loss probability can easily be predicted and utilized to optimize the transmission policy (i.e., opportunities for successful transmission and EH) of EH SUs to improve their throughput. Especially, the proposed method can be applied to upper layer (scheduling and routing) optimization. To this end, we validate the proposed analysis through Monte-Carlo simulation and show an agreement between the analysis and simulation results. Index Terms Energy harvesting, Energy outage, Cognitive radio, Sensing inaccuracy, Packet loss. This technical report is a detailed version of a paper which was accepted to appear in IEEE Communications Letters. Copyright belongs to IEEE. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government (MSIP) (2014R1A5A1011478). Shanai Wu and Yoan Shin are with the School of Eletrical Engineering, Soongsil University, Seoul 06978, Korea (e-mail: {sunae0814, yashin}@ssu.ac.kr). Jin Young Kim is with the Department of Wireless Communications, Kwangwoon University, Seoul 01897, Korea (e-mail: [email protected]). Dong In Kim is with the School of Information and Communication Engineering, Sungkyunkwan University, Suwon, Gyeonggi-do 16419, Korea (email: [email protected]). † Corresponding author [TECHNICAL REPORT] 2