Efficient Power Allocation Algorithm for Throughput Optimization of Multi-User Massive MIMO Systems in Finite Blocklength Regime

HU Yulin; XIAO Zhicheng

doi:10.11999/JEIT240241

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HU Yulin, XIAO Zhicheng, . Efficient Power Allocation Algorithm for Throughput Optimization of Multi-User Massive MIMO Systems in Finite Blocklength Regime[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240241

Citation:

HU Yulin, XIAO Zhicheng, . Efficient Power Allocation Algorithm for Throughput Optimization of Multi-User Massive MIMO Systems in Finite Blocklength Regime[J]. Journal of Electronics & Information Technology. doi: 10.11999/JEIT240241

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Efficient Power Allocation Algorithm for Throughput Optimization of Multi-User Massive MIMO Systems in Finite Blocklength Regime

doi: 10.11999/JEIT240241

HU Yulin,
XIAO Zhicheng,

Electronic Information School, Wuhan University, Wuhan 430000, China

Funds: The National Key R&D Plan (2023YFE0206600)

Rev Recd Date: 2024-12-09

Available Online: 2024-12-12

Abstract

Abstract

The 6th Generation (6G) mobile communication network is required to provide Ultra-Reliable and Low-Latency Communication(URLLC) services for large-scale nodes. Considering the multi-user massive Multiple-Input Multiple-Out(MIMO) technology-assisted URLLC downlink communication scenario, system performance is characterized based on the Finite BlockLength(FBL) regime theory, and an efficient power allocation algorithm is proposed to improve the users’ transmission rate under fairness issue. Specifically, the traditional MIMO systems utilize the global Singular Value Decomposition(SVD) linear precoding scheme, leading to high complexity and inability to guarantee the fairness of rates among users. To deal with these challenges, a precoding scheme based on the local SVD is proposed to effectively suppress inter-user interference and intra-user interference of MIMO system with relatively low complexity. Secondly, the optimization problem is formulated, where the power allocation factors are optimized to Maximize Minimum Rate (MMR) among users. In order to efficiently solve the non-convex problem containing high-dimensional variables which are coupled with each other, the Shannon capacity term in the objective function is relaxed by introducing auxiliary variables and piecewise McCormick envelopes, and it is transformed into convex functions, thereby reformulating the MMR problem. An optimization algorithm based on the Successive Convex Approximation (SCA) is proposed to solve the reformulated problem effectively. Simulation results validate the convergence and accuracy of the proposed optimization algorithm, and it is shown that the proposed optimization algorithm has advantages over the existing schemes in terms of system MMR performance and robustness.
- Ultra-Reliable and Low-Latency Communication (URLLC),
- Multi-user MIMO,
- Finite BlockLength (FBL),
- Successive Convex Approximation (SCA)

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References(31)

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