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Optimizing Resource Allocation for 6G NOMA-enabled Cooperative Vehicular Networks

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posted on 19.08.2021, 05:56 by Zain Ali, Wali Ullah KhanWali Ullah Khan, Asim Ihsan, Omer Waqar, Guftaar Ahmad Sardar Sidhu, Neeraj Kumar
This paper proposes a new optimization framework for NOMA-enabled cooperative vehicular network. In particular, we jointly optimize the vehicle paring, channel assignment, and power allocation at source and relaying vehicles. The objective is to maximize the sum rate of the system subject to the power allocation, minimum rate, relay battery lifetime and successive interference cancellation constraints. To solve the joint optimization problem efficiently, we adopt dual theory followed by Karush-Kuhn-Tucker (KKT) conditions, where the dual variables are iteratively computed through sub-gradient method. Two less complex suboptimal optimization schemes are also presented as the benchmark cooperative vehicular schemes.

History

Email Address of Submitting Author

waliullahkhan30@gmail.com

ORCID of Submitting Author

https://orcid.org/0000-0003-1485-5141

Submitting Author's Institution

University of Luxembourg

Submitting Author's Country

Luxembourg