Abstract :

This Paper Introduces A Novel Algorithm For The Alternating Direction Method Of Multipliers (ADMM) Tailored For Infinity Norm Detection Within Massive Multiple-Input Multiple-Output (MIMO) Systems. The Proposed Method Builds Upon The Foundation Of Conventional ADMM Algorithms By Introducing Significant Optimizations To Key Computational Steps, Which Substantially Enhance Convergence Rates. This Improvement Is Particularly Crucial For Real-time Applications, Where Speed And Efficiency Are Paramount. The Algorithm Is Specifically Designed To Be Implemented In Very-Large-Scale Integration (VLSI) Architecture, Ensuring It Meets The Demands Of Modern Wireless Communication Systems. The Approach Focuses On Optimizing Both Computational Complexity And Hardware Efficiency. By Streamlining The Algorithmic Process, The Method Reduces The Resource Demands Typically Associated With MIMO Detection, Making It A Scalable And High-performance Solution. This Scalability Is Essential For Adapting To The Increasing Data Rates And Connectivity Requirements Of Next-generation Networks. A Detailed VLSI Architecture Has Been Developed To Support The Proposed ADMM-based Algorithm. This Hardware Implementation Leverages The Algorithm S Optimized Structure To Achieve Efficient Performance, Minimizing Power Consumption And Latency While Maximizing Throughput. The Integration Of This Algorithm Into VLSI Design Not Only Validates Its Theoretical Advantages But Also Demonstrates Its Practical Viability For Deployment In Realworld Massive MIMO Systems, Paving The Way For Advancements In Wireless Communication Technology. Keywords: ADMM, MIMO, Infinity Norm, VLSI, Optimization

Published:

21-10-2025

Issue:

Vol. 25 No. 10 (2025)

Page Nos:

90-97

Section:

Articles

License:

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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