Helix: A RAN Slicing Based Scheduling Framework for Massive MIMO Networks
Nov 25, 2024·,
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0 min read
Qing An
Divyanshu Pandey
Rahman Doost-Mohammady
Ashutosh Sabharwal
Srinivas Shakkottai
Abstract
Helix is a RAN-slicing-based scheduling framework for massive MIMO
networks. Helix jointly handles slice-level service-level objectives
(throughput, latency, isolation) and physical-layer constraints
(user-pairing, MCS selection, beamforming overhead) by decomposing
scheduling into a hierarchy of slice-aware allocators. We evaluate
Helix on a software-defined massive MIMO testbed and against
large-scale simulations, showing improved per-slice SLO attainment
and aggregate spectral efficiency over slice-agnostic baselines.
Type
Publication
Proceedings of the ACM on Networking, 2(CoNEXT4), 1–22 (presented at ACM CoNEXT 2024)
Authors
Authors
Authors
Rahman Doost-Mohammady
(he/him)
Assistant Research Professor
I work at the intersection of computer systems and wireless
networking — building programmable, intelligent infrastructure for
5G/6G and Open RAN. A common thread across my projects is algorithm
and system design across FPGA, GPU, and CPU — spanning real-time
massive MIMO baseband on commodity servers, many-antenna hardware
platforms, and learning-driven schedulers. I am currently focused on
virtualized Open RAN systems and ML-enabled RAN software design.
Authors
Authors