Robust Beamforming Design in a NOMA Cognitive Radio Network Relying on SWIPT | Zendy

Haijian Sun | Zendy; Fuhui Zhou | Zendy; Rose Qingyang Hu | Zendy; Lajos Hanzo | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

Robust Beamforming Design in a NOMA Cognitive Radio Network Relying on SWIPT

Author(s) -

Haijian Sun,

Fuhui Zhou,

Rose Qingyang Hu,

Lajos Hanzo

Publication year - 2018

Publication title -

ieee journal on selected areas in communications

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 2.986

H-Index - 236

eISSN - 1558-0008

pISSN - 0733-8716

DOI - 10.1109/jsac.2018.2872375

Subject(s) - computer science , channel state information , beamforming , cognitive radio , maximum power transfer theorem , transmitter power output , mathematical optimization , transmission (telecommunications) , relaxation (psychology) , base station , energy harvesting , wireless , algorithm , energy (signal processing) , power (physics) , channel (broadcasting) , telecommunications , transmitter , mathematics , statistics , psychology , social psychology , physics , quantum mechanics

This paper studies a multiple-input single-output non-orthogonal multiple access cognitive radio network relying on simultaneous wireless information and power transfer. A realistic non-linear energy harvesting model is applied and a power splitting architecture is adopted at each secondary user (SU). Since it is difficult to obtain perfect channel state information (CSI) in practice, instead eith...

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research