arXiv (All)
open access
Decentralized Decoding with Adaptive Local Combining for Cell-Free Massive MIMO
In existing literature, a two-stage architecture comprising of large-scale fading decoding (LSFD) at the central processing unit (CPU) and local combining at the access points (APs) is commonly deployed for uplink processing in scalable cell-free massive multiple-input multiple-output (CF-mMIMO) sys
Conceptio Open Archive
Analyze & explore related research in Conceptio
Connect this record directly into your research workflow or AI agent. Explore citations across open repositories, query full text, and export structured proof bundles.
This document is indexed with metadata only: full text is not available in the archive for this record. Open the official source ↗
Related documents
- Antenna assignment and cell association for provisioning heterogeneous traffic over multi-base-station massive MIMO cellular networks#1366005
- Surrogate-Enhanced Fractional Programming for MIMO Device-to-Device Interference Networks#1131787
- 5G Indoor/Outdoor Field Trial of Deep Joint Source-Channel Coding Method#1039077
- Toward Resilient 5G Networks: Comparative Analysis of Federated and Centralized Learning for RF Jamming Detection#155216
- False-CSI Attacks in Power-Domain NOMA for 6G: A Threat Taxonomy and System-Level Impacts#792363
Record · ID 1389125
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Retrieved via Conceptio: every document is proof-bundled with source, license, and retrieval metadata.
Bring this data into your agent: Connect via MCP or API · 20 free credits to start · no card required
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive
Read the Docs → · View CLI source on GitHub · Conceptio Open Knowledge Archive