Core Insights - The article discusses the challenges posed by high power consumption of 5G base stations and the need for 6G to address indoor signal attenuation, which affects 96% of traffic demand originating from indoor users [1][2]. Group 1: 5G and 6G Transition - The high power consumption of 5G base stations is criticized, primarily because they are deployed outdoors while 96% of traffic demand comes from indoor users [2]. - Signal strength decreases by 90% to 99.9% when penetrating walls, highlighting the need for 6G to focus on serving indoor users effectively [2]. - The communication industry has been striving to overcome the limitations posed by buildings and indoor environments, but the benefits from rapidly expanding baseband metrics are diminishing [2]. Group 2: Building Wireless Friendliness - The concept of "Building Wireless Friendliness" was introduced in 2022, emphasizing the importance of building design in optimizing wireless performance [8]. - Minor adjustments in building materials and thickness can significantly enhance wireless performance, potentially reducing transmission power by tenfold while maintaining a 25 dB signal-to-noise ratio [4][5]. - Research indicates that even slight variations in wall materials can lead to over 14.4% loss in communication quality [3]. Group 3: Smart Surfaces and Indoor Performance - Smart surfaces are seen as a key innovation for supporting 6G mobile communication, allowing for active intervention in electromagnetic wave propagation [3]. - The integration of passive smart surfaces into building structures can fundamentally improve indoor network performance [10]. - The research team is exploring the potential of composite materials and smart surfaces to enhance the wireless friendliness of prefabricated industrial buildings [8]. Group 4: User Mobility and Channel Dynamics - User mobility introduces complexity in channel dynamics, making it a core driver of channel mode evolution in high-frequency 6G environments [15]. - The study highlights the need for data-driven approaches to track reflective beam patterns due to the unpredictable nature of human behavior [15]. - A lightweight method has been proposed to dynamically activate only 10% of the smart surface area, significantly reducing control and power burdens [15]. Group 5: Future Directions - The research indicates that understanding human behavior is crucial for optimizing the electromagnetic environment in buildings [12]. - The integration of aesthetic and behavioral considerations into building design is essential for creating wireless-friendly environments [17]. - The exploration of reinforcement learning and generative methods shows promise in addressing the challenges posed by non-quantifiable concepts in building design [17].