Adaptive Subcarrier and Bit Allocation for Downlink OFDMA System with Proportional Fairness
Sudhir B. Lande, J. B. Helonde, Rajesh Pande, S. S. Pathak

TL;DR
This paper proposes an adaptive subcarrier and bit allocation algorithm for downlink OFDMA systems that minimizes total transmit power while maintaining quality of service, using channel and quality state information.
Contribution
It introduces a low-complexity, near-optimal algorithm for joint subcarrier and bit allocation in OFDMA systems based on CSI and QSI.
Findings
Algorithm reduces total transmit power significantly.
Near-optimal performance with low computational complexity.
Effective in satisfying rate and power constraints.
Abstract
This paper investigates the adaptive subcarrier and bit allocation algorithm for OFDMA systems. To minimize overall transmitted power, we propose a novel adaptive subcarrier and bit allocation algorithm based on channel state information (CSI) and quality state information (QSI). A suboptimal approach that separately performs subcarrier allocation and bit loading is proposed. It is shown that a near optimal solution is obtained by the proposed algorithm which has low complexity compared to that of other conventional algorithm. We will study the problem of finding an optimal sub-carrier and power allocation strategy for downlink communication to multiple users in an OFDMA based wireless system. Assuming knowledge of the instantaneous channel gains for all users, we propose a multiuser OFDMA subcarrier, and bit allocation algorithm to minimize the total transmit power. This is done by…
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Taxonomy
TopicsAdvanced Wireless Network Optimization · Advanced MIMO Systems Optimization · Cooperative Communication and Network Coding
