Design of the wireless powered cognitive radio network based on intelligent reflecting surfaces
This paper proposes a beamforming(BF)scheme based on imperfect channel state information(CSI)to improve the spectrum and energy harvesting efficiency for an intelligent reflecting surface(IRS)assisted wireless powered cognitive radio network.Assuming that only the imperfect CSI is available,first,we formulate a constrained problem to maximize the minimum achievable rate among information receivers(IRs),while satisfying requirements of IRs and energy receivers(ERs),interference threshold of primary users and transmit power budget of base station.Second,we propose a low computational-complexity algorithm that adopts the triangle inequality,the alternating direction method of multipliers and the alternating optimization to obtain the active and passive beamformers for base station as well as IRS.Finally,computation simulations demonstrate that the proposed scheme can effectively improve the system performance,verifying the feasibility and effectiveness of introducing IRS into the wireless powered cognitive radio network.
cognitive radio networkwireless powerrobust beamformingintelligent reflecting surface(IRS)
万方数据
维普
