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Joint optimization of NOMA ‐enabled backscatter communications for beyond 5G IoT networks
Author(s) -
Khan Wali Ullah,
Imtiaz Nouman,
Ullah Inam
Publication year - 2021
Publication title -
internet technology letters
Language(s) - English
Resource type - Journals
ISSN - 2476-1508
DOI - 10.1002/itl2.265
Subject(s) - noma , benchmark (surveying) , internet of things , computer science , karush–kuhn–tucker conditions , backscatter (email) , exploit , joint (building) , optimization problem , convex optimization , computer network , mathematical optimization , telecommunications , regular polygon , wireless , algorithm , engineering , mathematics , embedded system , telecommunications link , geography , computer security , geometry , architectural engineering , geodesy
This article optimizes the link‐level of NOMA‐enable backscatter communication (BackCom) for beyond fifth‐generation (B5G) Internet‐of‐things (IoT) networks. Specifically, we jointly optimize the transmit‐power (TP) of IoT users and the reflection‐coefficient (RC) of the backscatter tag (BackTag), where the target is to increase the sum capacity (SumCap) of NOMA‐enabled BackCom. The problem of TP and RC is formulated as convex optimization, and we exploit KKT conditions to obtain the optimal solutions. The pure NOMA without BackCom and conventional orthogonal multiple access (OMA) schemes are also presented as the benchmark schemes. Our results significantly outperform the pure NOMA and conventional OMA schemes.