White papers
Strategies for future-proof networks to counter emerging quantum security threats.
Explore UNEXT: A unified approach to autonomous network services, addressing growing complexity and AI-driven trends in communication networks.
Techno-economic analysis of FTTx broadband deployment costs in North Carolina's unserved areas, comparing greenfield and brownfield scenarios.
Explore how optimizing cost subsidies and area definitions can maximize connectivity to unserved and underserved communities in broadband projects.
This paper describes the foundations of the resulting secure, generalized network-compute continuum, which will serve as UNEXT's execution environment.
UNEXT: A unified networking experience for all. This white paper explores the Knowledge and Data Services (KDS) research area, enabling secure knowledge sharing across diverse…
This paper explores how a distributed data platform can address these challenges and provides a conceptual approach for deploying such a platform in a CSP’s environment.
Network-application symbiosis is one of the key capabilities of the Unified Networking Experience Technology (UNEXT) vision.
In this article, we discuss the relevance of the zero-trust concept to 5G.
Bell Labs Consulting forecasts productivity increase between 13% to 40%.
This paper outlines UNEXT's capability for autonomous end-to-end service coordination among heterogeneous stakeholders.
Here, we take a look at orchestration and automation from the perspective of system software.
Bell Labs Consulting offers a multi-discipline E2E service reliability analysis with actionable insights to enhance design and operations per industry best practices.
In this paper, we provide an analysis comparing the coverage at 3.5, 7 and 13 GHz bands from existing urban macro cell sites.
We explore the frontiers of machine learning (ML) to improve features beyond the physical layer (PHY) and enhance the native AI air interface envisioned for 6G.
Bell Labs Consulting has studied and classified several use cases of generative AI and the role they are likely to play in shaping the future of CSP organizations.
