Wixor: Dynamic TDD Policy Adaptation for 5G/xG Networks

In the era of 5G and beyond, dynamic Time Division Duplex (TDD) has become essential for supporting applications that demand high bandwidth and low latency. Emerging uplink-intensive use cases such as real-time video analytics, autonomous vehicles and augmented reality further complicate the balance between uplink and downlink resources. Despite their potential, TDD policies employed by current 5G networks remain underexplored. Our investigation reveals that existing TDD policies are static and predominantly downlink-focused, failing to adapt to fluctuating network demands. We introduce Wixor, a robust dynamic TDD policy adaptation system tailored for 5G and next-generation (xG) networks. It proactively adjusts the allocation of TDD resources between uplink and downlink, addressing various practical challenges. Prototyped on a programmable testbed, Wixor demonstrates substantial performance improvements across diverse applications, achieving up to 96.5% enhancement in Quality of Experience (QoE) compared to existing baselines.

Authors

Institutions

Publication Details

Journal
Proceedings of the ACM on Networking
Published
2024-11-25
DOI
https://doi.org/10.1145/3696395
Citations
2
Primary Topic
Image and Video Quality Assessment
Type
article
Field-Weighted Citation Impact
0.50
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Wixor: Dynamic TDD Policy Adaptation for 5G/xG Networks

Shivang Aggarwal, Ahmad Hassan, Feng Qian, Mohamed Ibrahim et al.
2 citations
Proceedings of the ACM on Networking
Image and Video Quality Assessment
0.50
article

Wixor: Dynamic TDD Policy Adaptation for 5G/xG Networks

Shivang Aggarwal, Ahmad Hassan, Feng Qian, Mohamed Ibrahim, Puneet Sharma
article en
2 citations

Abstract

In the era of 5G and beyond, dynamic Time Division Duplex (TDD) has become essential for supporting applications that demand high bandwidth and low latency. Emerging uplink-intensive use cases such as real-time video analytics, autonomous vehicles and augmented reality further complicate the balance between uplink and downlink resources. Despite their potential, TDD policies employed by current 5G networks remain underexplored. Our investigation reveals that existing TDD policies are static and predominantly downlink-focused, failing to adapt to fluctuating network demands. We introduce Wixor, a robust dynamic TDD policy adaptation system tailored for 5G and next-generation (xG) networks. It proactively adjusts the allocation of TDD resources between uplink and downlink, addressing various practical challenges. Prototyped on a programmable testbed, Wixor demonstrates substantial performance improvements across diverse applications, achieving up to 96.5% enhancement in Quality of Experience (QoE) compared to existing baselines.

Proceedings of the ACM on NetworkingVol. 2(CoNEXT4)
University of Southern California (US), Hewlett-Packard (United States) (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 33%
Image and Video Quality Assessment
0.50
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.