The wireless industry is already looking beyond 5G as it prepares for the next major leap in connectivity: 6G. Expected around 2030, 6G promises to deliver unprecedented speed, intelligence, and energy efficiency, enabling transformative applications across society. This new generation will build on existing 5G advancements while introducing revolutionary technologies such as environmental sensing, near-zero-energy communication, and advanced AI-driven network intelligence.
Understanding 6G Technology and its Requirements
Defining the boundary between 5G and 6G is a challenge, especially with feature-rich 5G-Advanced releases already extending current capabilities. While 5G has brought remarkable improvements in connectivity, speed, and latency, 6G is envisioned to drive broader societal impacts, including digital equity, economic growth, sustainability, and enhanced quality of life. Achieving this vision will depend on a set of foundational technologies.
These technologies fall into two main groups:
- Enhanced 5G Capabilities: Building on existing 5G features such as mmWave, advanced MIMO, NR Reduced Capability (RedCap) for low-power devices, and precise positioning enhancements.
- New 6G Innovations: Introducing entirely new capabilities not present in 5G, with three standout technologies expected to play a transformative role: Joint Communication and Sensing (JCAS), Zero or Near-Zero Energy Communication (ZEC), and Artificial Intelligence/Machine Learning (AI/ML).
Joint Communication and Sensing (JCAS) in 6G
JCAS, also referred to as Integrated Sensing and Communication (ISAC), enables devices and base stations to sense their surrounding physical environment using communication signals. By leveraging existing or specially designed waveforms, JCAS allows devices to map their surroundings through signal reflections, reducing reliance on separate sensors like radars or cameras.
This capability effectively gives “awareness” to communication equipment, allowing it to detect obstacles, boundaries, and moving objects in its vicinity. Applications could include traffic monitoring, autonomous navigation, and environmental mapping, all while using communication infrastructure rather than additional sensing hardware.
Zero or Near-Zero Energy Communication (ZEC) in 6G
Energy efficiency has always been a priority in wireless communication, with earlier technologies like LTE-M, NB-IoT, and NR RedCap aiming to reduce energy consumption. 6G takes this further by introducing ZEC, or “Ambient IoT,” which allows devices to operate with minimal or even no dedicated energy source.
In practice, ZEC could enable devices like remote sensors to harvest energy from communication signals, eliminating the need for batteries or frequent recharging. This opens possibilities for sustainable IoT networks in hard-to-access locations, such as sensors embedded in forests or bridges, activated and powered by 6G waveforms to collect and transmit data efficiently. Developing waveforms optimized for both energy transfer and communication will be critical to making this vision a reality.
Artificial Intelligence and Machine Learning Technologies for 6G
The increasing complexity of wireless networks makes traditional analytical methods insufficient. The widespread use of smart devices and AI-powered applications requires 6G networks to support distributed services, intelligent resource allocation, and semantic communication for optimized performance.
AI and ML are expected to be deeply integrated into 6G, not just for network management but also in designing and optimizing the physical and MAC layers of communication. By embedding AI/ML capabilities directly into network nodes and endpoints, 6G can achieve pervasive intelligence, enabling technologies like JCAS and ZEC to function more efficiently.
Implementing AI-native networks presents challenges, such as coordinating infrastructure with applications and integrating computing with communication layers. Standardization processes, including 3GPP specifications, will need to adapt to ensure practical deployment, performance validation, and end-to-end intelligence for users everywhere.
Click here to read a whitepaper on "Key Drivers and Research Challenges for 6G Ubiquitous Wireless Intelligence".
