6G wireless systems : a vision, architectural elements, and future directions

Internet of everything (IoE)-based smart services are expected to gain immense popularity in the future, which raises the need for next-generation wireless networks. Although fifth-generation (5G) networks can support various IoE services, they might not be able to completely fulfill the requirements of novel applications. Sixth-generation (6G) wireless systems are envisioned to overcome 5G network limitations. In this article, we explore recent advances made toward enabling 6G systems. We devise a taxonomy based on key enabling technologies, use cases, emerging machine learning schemes, communication technologies, networking technologies, and computing technologies. Furthermore, we identify and discuss open research challenges, such as artificial-intelligence-based adaptive transceivers, intelligent wireless energy harvesting, decentralized and secure business models, intelligent cell-less architecture, and distributed security models. We propose practical guidelines including deep Q-learning and federated learning-based transceivers, blockchain-based secure business models, homomorphic encryption, and distributed-ledger-based authentication schemes to cope with these challenges. Finally, we outline and recommend several future directions. © 2013 IEEE

Next-Generation Consumer Electronics for 6G Wireless Era

The upcoming beyond 5G (B5G)/6G wireless networks target various innovative technologies, services, and interfaces such as edge computing, ultra-reliable and low-latency communication (URLLC), backscatter communications, and TeraHertz (THz) technology-enabled inter-chip high-capacity communications, to name a few. Although there are ongoing advances in the system/network level, it is crucial to advance the device-level design to efficiently support these novel technologies by addressing various practical constraints in terms of power, computational capacity, and storage capacity limitations. This need for device-level innovation ultimately demands significant enhancements in today's consumer electronics (CE), i.e., advancement towards "Consumer Electronics 2.0". Considering the contemporary latency requirements of CE applications (e.g., entertainment, gaming, etc), to enhance the commercial potential of ``edge processing as service'', it is envisioned that URLLC will further evolve as enhanced-URLLC (e-URLLC) in the B5G era. In this regard, this paper proposes a novel edge computing-enabled e-URLLC framework, named edge computing for CE (ECCE), to support advancements and to initiate discussions on the need for next-generation CE. Starting with the discussion on recent trends and advances in CE, the proposed framework and its importance in the 6G wireless era are described. Subsequently, several potential technologies and tools to enable the implementation of the proposed ECCE framework are identified along with some interesting open research topics and future recommendations