New Algorithm Balances Network Speed and Fair Data Access for Wireless Users
Researchers have developed a power allocation method that lets wireless networks maximize overall throughput while ensuring no single user gets starved of bandwidth. The technique matters for telecom operators building equitable 5G/6G systems and for IoT deployments where fairness affects service quality guarantees.
Originaltitel: Fairness-Aware Power Allocation for Multi-User MIMO Downlink Network in the Finite Blocklength Regime
<p>This paper investigates a multi-user MIMO down-link network operating in the finite blocklength (FBL) regime. We propose an efficient power allocation scheme that balances overall system performance and user fairness. Specifically, we design a power allocation scheme to maximize the overall FBL throughput of the system. To address the non-convexity of the formulated problem, we employ a successive convex approximation (SCA) -based approach, transforming the non-convex problem into a series of convex subproblems to obtain the optimal power allocation. Subsequently, we introduce a fairness-oriented power allocation scheme that maximizes the minimum user FBL throughput. By combining these two approaches, we develop a unified power allocation scheme that effectively balances overall system performance and user fairness. Simulation results demonstrate that the proposed scheme efficiently addresses the trade-off between system-wide FBL performance and user fairness, providing a flexible solution for diverse application scenarios.</p>