About a year and a half ago, I developed this proposal together for R & D Grant with my technical advisor in Electrical and Electronic Communications (Mr.
Nik Muhammad Hussainy Nik Zafri ) However, we did not receive a definitive response from the interested party. As a result, I am now reopening this proposal and making it available to any other interested parties who may wish to explore it further. Please contact me or Mr. Nik Md Hussainy for further details
1.0 ABSTRACT
This invention proposes a Comfortable Ambient Adaptive Signal Booster (CAASB) designed to improve WiFi/mobile internet signal quality indoors without visible clutter, excessive radiation concentration, or discomfort to users.
Unlike conventional routers or repeaters, CAASB integrates:
Passive metamaterial reflection panels
Low-power adaptive signal relays
Human-centric “comfort zoning” signal diffusion
The aim is to create uniform signal distribution with minimal electromagnetic hotspots.
The present invention relates to wireless communication enhancement systems, particularly to indoor signal optimization systems for WiFi, cellular, and IoT networks. More specifically, the invention relates to a hybrid system for spatial signal uniformity control using a combination of passive metasurfaces, active relay nodes, and adaptive diffusion algorithms to improve user-perceived connectivity comfort.
2.0 WHAT EXISTS IN THE MARKET (at the time that this proposal was made)
The idea family already exists in some other research but our exact “CAASB comfort-field hybrid” concept is still a novel combination in that form. Our invention combines 3 ideas, each one already exists separately in academic literature.
(A) Metasurface / intelligent reflecting surfaces (RIS)
Researchers already use programmable surfaces to reshape WiFi/5G signals in buildings:
Walls or panels that reflect and steer signals,
“Signal relay surfaces” to fix dead zones,
Adaptive beam shaping in real time
Example: metasurfaces placed on walls/ceilings to remove weak signal zones
These systems already act like “wireless environment sculptors”.
(B) Adaptive intelligent wireless environments
More advanced work adds:
sensing of signal environment,
AI or optimization control,
closed-loop adjustment
Some systems even:
detect signal quality,
adjust reflection phases dynamically
These are called adaptive programmable metasurfaces (APM)
So our “AI signal engine" combined with "environment feedback” is already a research direction.
(C) Comfort-oriented signal shaping (emerging, but not formalized)
Researchers are aiming to:
reduce dead zones,
improve uniformity of coverage,
improve reliability of indoor wireless
But they usually optimize:
throughput,
SNR (signal strength)
energy efficiency
Not “user comfort field” explicitly.
This is where our idea starts to diverge.
2. 1 What is NOT Commonly Proposed (our novelty zone)
Our CAASB concept introduces 3 unusual angles:
A. “Comfort Field” instead of “Maximum Signal”
Most research asks: “How strong can we make the signal?”
What we propose : “How evenly and comfortably can we distribute it?”
That is closer to:
spatial uniformity engineering,
human-centric RF design
This is not a standard formal metric in wireless literature yet
2.3 "Hybrid passive combined with "Active" combined with "Diffusion Architecture"
Most systems are either:
passive metasurfaces (reflection panels), OR
active relay nodes, OR
beamforming systems
We combine metasurface reflection, micro-relays and diffusion ceiling nodes
That system-of-systems hybrid design is not commonly unified in one architecture proposal.
2.4 “Comfort zoning” of RF field
Our idea implies:
controlling spatial RF distribution like HVAC air flow,
smoothing field gradients,
avoiding “hotspots”
This is conceptually similar to heat diffusion control, but rarely formalized in wireless networking literature as “comfort zones”
2.5 So… What's in the Market?
Partially YES : metasurface signal relays, adaptive wireless environments, AI-controlled RF shaping, dead-zone elimination
But NOT as a unified concept with :
“Comfort Field Theory” as a design goal, hybrid passive + relay + diffusion architecture in one system, human comfort–first RF distribution metric.
2.6 Classification of Idea
“A conceptual integration framework combining existing metasurface and adaptive wireless propagation techniques with a novel human-centric spatial uniformity objective.”
In simpler terms, it's not a new physics discovery, it's not a brand-new hardware class
BUT potentially a new system architecture + design philosophy
2.7 Real Research Novelty
To make it publishable-level novel, we will formalize:
a. Comfort metric
Example: signal variance in space, spatial entropy of RSSI, human-perceived stability index
b. Optimization model
Instead of maximize signal strength, we define minimize spatial variance + maximize coverage smoothness
c. Prototype architecture
metasurface layer, relay micro-nodes, diffusion algorithm
Our invention is:
Not entirely new in components but novel in how we combine them and what we optimize for
In research terms:
Metasurfaces + adaptive wireless = established field
Comfort-driven RF spatial design = emerging/underexplored
Our CAASB = conceptual integration proposal with originality in system framing
3.0 SUMMARY
The invention or innovation provides a Comfortable Ambient Adaptive Signal Booster System (CAASBS) that improves indoor wireless communication by:
Redistributing electromagnetic signal fields evenly across an indoor space,
Dynamically adjusting signal propagation using AI-driven control,
Combining passive and active signal shaping components
3.1 Key inventive concept
Optimization of a Spatial Signal Comfort Index (SSCI) rather than maximum signal strength
4.0 SYSTEM OVERVIEW
The system comprises:
(A) Central Signal Control Unit (CSCU)
AI-based signal optimization engine,
Receives real-time RF environment feedback,
Controls relay and diffusion nodes
(B) Metasurface Reflection Layer
Programmable electromagnetic surface panels,
Mounted on walls/ceilings,
Redirects RF waves to fill weak zones
(C) Micro Relay Nodes
Low-power distributed signal amplifiers,
Extend signal reach in obstructed environments
(D) Diffusion Node Array
Ceiling-mounted or embedded emitters
Smooths signal gradients across space
5.0 SYSTEM ARCHITECTURE DIAGRAM
6.0 MATHEMATICAL MODEL
6.1 Conventional Signal Model
6.2 Proposed Comfort-Based Optimization
Define Spatial Signal Comfort Index (SSCI):
This ensures uniform signal distribution and minimum connectivity threshold maintained
7.0 CONTROL ALGORITHM
8. EXAMPLE PERFORMANCE ANALYSIS
Assume indoor environment:
Before System :
Mean RSSI: -55 dBm
Standard deviation: 14 dB
After System :
Metasurface gain: +8 dB localized correction
Relay gain: +6 dB fill zones
Diffusion smoothing: reduces variance by 60%
New values:
Mean RSSI: -38 dBm
Standard deviation: 5.6 dB
2.5× improvement in spatial uniformity
9.0 ADVANTAGES
More uniform wireless coverage in indoor environments,
Reduction of dead zones and signal clustering,
Improved user experience stability,
Lower retransmission and network congestion,
Energy-efficient distributed signal management
CLAIMS
10.0 INDUSTRIAL APPLICABILITY
The invention is applicable in:
Smart homes,
Office buildings,
Hospitals,
Industrial IoT environments,
High-density urban dwellings,
Smart campuses
11.0 CONCLUSION
The invention introduces a human-centric paradigm in wireless communication systems, shifting optimization from signal strength maximization to spatial signal comfort engineering, achieved through a hybrid architecture of metasurfaces, relay nodes, and diffusion control systems.
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