## 1 Introduction  
The evolution of wireless communication has been marked by a series of generational advancements, each reshaping the boundaries of connectivity and service capabilities. The fourth generation (4G) networks introduced high-speed communication, enabling transformative applications such as real-time video streaming and enhanced mobile broadband [1]. Building on this foundation, the fifth generation (5G) further enhanced network reliability, security, and scalability to meet the demands of massive broadband and the Internet of Everything (IoE) [1]. These advancements reflect a relentless pursuit of performance improvements, driving the digital age forward. As wireless networks progress, the demand for ubiquitous interconnectivity and seamless information exchange grows exponentially. The next generation of wireless systems must transcend the limitations of current architectures, which are predominantly centralized and operator-driven. While centralized control has facilitated growth thus far, it imposes constraints on scalability, flexibility, and user autonomy [2]. Addressing these constraints is crucial to ensuring the wireless ecosystem can support the growing number of devices, applications, and services in a hyper-connected world. Existing wireless networks are primarily operated by Mobile Network Operators (MNOs), each offering services within isolated infrastructures. Subscribers are bound by their chosen operator's service quality, coverage, and resource availability [1]. Although roaming services have attempted to bridge gaps in coverage and connectivity, the traditional architectures of home-routed and local breakout (LBO) roaming have notable trade-offs. Home-routed roaming prioritizes security but increases latency, while LBO roaming minimizes latency but raises privacy concerns [3; 4]. These solutions, while functional, fall short of the seamless global experience users increasingly expect. Federated wireless networks present a promising alternative, emphasizing collaboration and resource sharing among MNOs to provide consistent service across diverse regions [5; 6]. By dismantling the territorial and administrative barriers that define current systems, federated networks could offer a unified infrastructure capable of serving any subscriber globally. However, implementing such systems introduces new challenges, particularly in managing subscriber identities while upholding privacy and regulatory compliance [3; 7]. Ensuring secure and transparent identity management across a decentralized environment is a critical hurdle that must be overcome. The vision of self-sovereign identity (SSI) has emerged as a compelling solution to address these challenges. SSI advocates for user control over identity credentials, enabling secure interactions without dependence on centralized authorities [8; 9]. This paradigm aligns with the goals of Next Generation (NextG) wireless systems, which aim to separate user identity management from MNO control, fostering a decentralized, user-driven communication framework [10]. Such an approach would empower users to autonomously manage their identities while leveraging a globally interoperable network infrastructure. In this paper, we propose the Self-Sovereign Federated NextG (SSFXG) model, a novel framework that decentralizes identity management in wireless networks. By leveraging SSI principles and integrating blockchain technology, SSFXG establishes a decentralized layer of trust that grants users greater control over their data and interactions. This model decomposes network management into distinct stages, ensuring secure issuance, storage, and verification of identity credentials while maintaining privacy. Through this user-centric design, SSFXG addresses the limitations of traditional network architectures, paving the way for a federated, decentralized future in wireless communication.