Equal Power Distribution and Dynamic Subcarrier Assignment in OFDM Using Minimum Channel Gain Flow with Robust Optimization Uncertain Demand
F.A. Hla Myo Tun, S.B. Aye Thandar Phyo, T.C. Zaw Min Naing

TL;DR
This paper proposes a robust optimization approach for equal power distribution and dynamic subcarrier assignment in OFDM systems, addressing demand uncertainty to improve minimum throughput performance.
Contribution
It introduces a novel transformation of demand uncertainty into gain uncertainty and analyzes system performance using MATLAB simulations.
Findings
Enhanced minimum throughput under demand uncertainty
Effective power and subcarrier allocation strategies
Robust optimization improves OFDM performance
Abstract
In this paper, the minimum channel gain flow with uncertainty in the demand vector is examined. The approach is based on a transformation of uncertainty in the demand vector to uncertainty in the gain vector. OFDM systems are known to overcome the impairment of the wireless channel by splitting the given system bandwidth into parallel sub-carriers, on which data-symbols can be transmitted simultaneously. This enables the possibility of enhancing the system's performance by deploying adaptive mechanisms, namely power distribution and dynamic sub-carrier assignments. The performances of maximizing the minimum throughput have been analyzed by MATLAB codes.
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Taxonomy
TopicsAdvanced Wireless Network Optimization · Advanced MIMO Systems Optimization · Advanced Wireless Communication Techniques
