Open AccessDistributed power control with soft removal for uplink energy harvesting wireless network
Author(s) -
Guo Ao,
Yin Huarui,
Chen Li,
Wang Weidong
Publication year - 2016
Publication title -
iet communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.355
H-Index - 62
eISSN - 1751-8636
pISSN - 1751-8628
DOI - 10.1049/iet-com.2015.1169
Subject(s) - computer science , telecommunications link , power control , convergence (economics) , energy harvesting , energy (signal processing) , power (physics) , oscillation (cell signaling) , wireless , wireless network , channel state information , interference (communication) , control theory (sociology) , channel (broadcasting) , algorithm , telecommunications , control (management) , mathematics , artificial intelligence , statistics , physics , quantum mechanics , biology , economics , genetics , economic growth
For an energy harvesting wireless network (EHWN), power oscillation will occur in uplink signal‐to‐interference‐plus‐noise ratio‐based power control if some energy‐non‐supported nodes exist. Power oscillation will destroy power control algorithm's convergence and influence the system's stabilisation no matter the EHWN is feasible or infeasible. Unfortunately, existing algorithms cannot avoid the power oscillation. Therefore, the authors propose a new distributed algorithm which contains a soft removal mechanism to solve this problem in this study. Some energy harvesting nodes should be removed softly both in terms of their energy state information and channel state information. The convergence of the authors’ proposed algorithm can be guaranteed and power oscillation can be avoided in both feasible and infeasible EHWN. Simulation results verify their analysis and show that their algorithm brings less outage ratio than other algorithms.