Underlay Spectrum Access is a concurrent spectrum sharing paradigm where secondary users (SUs) transmit simultaneously with primary users (PUs) on the same frequency band by strictly limiting their transmission power. The secondary signal is constrained to remain below a regulatory-defined interference temperature limit at the primary receiver, ensuring it is treated as tolerable background noise rather than harmful interference.
Glossary
Underlay Spectrum Access

What is Underlay Spectrum Access?
A spectrum sharing technique where secondary users transmit concurrently with primary users by constraining their transmission power below a strict interference temperature limit, treating the secondary signal as noise at the primary receiver.
This approach contrasts with overlay spectrum access by requiring no spectrum sensing or vacancy detection before transmission, enabling continuous secondary connectivity. The critical engineering challenge lies in precise power control and spread-spectrum techniques—such as ultra-wideband (UWB) or code-division multiple access (CDMA)—to distribute the secondary signal energy below the noise floor, maintaining the primary user's signal-to-interference-plus-noise ratio (SINR).
Key Characteristics of Underlay Access
Underlay spectrum access enables concurrent primary and secondary transmissions by enforcing a strict interference cap, treating the secondary signal as noise at the primary receiver.
Interference Temperature Limit
The foundational regulatory metric that defines the maximum allowable interference at a primary receiver. Unlike traditional noise floor limits, interference temperature accounts for the cumulative RF energy from all secondary transmitters within a primary's coverage area. A secondary user must constrain its transmit power so that the additional interference, measured in Kelvin, does not exceed this pre-defined threshold. This ensures the primary link's signal-to-interference-plus-noise ratio (SINR) remains above its operational minimum.
Wideband Signal Spreading
To operate below the interference temperature, secondary users often employ spread spectrum techniques such as Direct Sequence Spread Spectrum (DSSS) or Ultra-Wideband (UWB) signaling. By spreading transmission power over a bandwidth far wider than the information rate, the power spectral density (PSD) at any given frequency falls below the noise floor of a narrowband primary receiver. This allows the secondary user to transmit continuously without the primary receiver detecting a distinct interfering signal.
Strict Power Control
The viability of underlay access depends entirely on closed-loop power control. A secondary transmitter must dynamically adjust its output power based on real-time estimates of path loss to the nearest primary receiver. This requires precise channel state information (CSI) or geolocation databases. Overestimating the path loss leads to harmful interference; underestimating it unnecessarily constrains secondary throughput. This creates a critical feedback loop between the secondary link and the protected primary infrastructure.
Short-Range Operation
Due to the severe transmit power constraints, underlay access is inherently limited to short-range communication. The secondary user's coverage radius is a function of the interference temperature limit and the distance to the primary receiver. Typical applications include femtocells, device-to-device (D2D) communication, and personal area networks where the secondary transmitter is physically close to its intended receiver and far from the primary infrastructure, minimizing the required transmit power.
No Spectrum Sensing Required
Unlike overlay or interweave cognitive radio, underlay access does not require the secondary user to detect spectrum holes or primary user activity. The secondary transmitter operates continuously, relying solely on the interference temperature constraint to protect the primary link. This eliminates the hidden node problem and sensing-throughput tradeoff inherent in opportunistic access. The trade-off is a permanent bandwidth or power penalty, as the secondary user can never exploit periods of primary silence to increase its own throughput.
Capacity Under Constraint
The theoretical capacity of an underlay secondary link is governed by the interference temperature constraint. Shannon's channel capacity formula is modified to include a peak or average interference power limit at a third-party receiver. This leads to distinct capacity scaling laws, such as the log-squared behavior in fading channels, where secondary capacity grows logarithmically with the interference constraint. In practice, this means the secondary user trades peak data rate for the privilege of guaranteed, continuous access.
Underlay vs. Overlay vs. Interweave Spectrum Access
Structural comparison of the three fundamental cognitive radio spectrum sharing paradigms defined by their interference management strategy and primary-secondary user interaction model.
| Feature | Underlay | Overlay | Interweave |
|---|---|---|---|
Interference Management Strategy | Spread signal below noise floor via strict power control | Mitigate via sophisticated coding and cooperative transmission | Avoid entirely via opportunistic temporal/spatial hole detection |
Primary-Secondary Coexistence | Concurrent transmission tolerated | Concurrent transmission with mutual benefit | Mutually exclusive; secondary transmits only in vacant bands |
Secondary Transmit Power Constraint | Strict interference temperature limit enforced at primary receiver | Power split between relaying primary signal and own data | No power constraint when channel is idle; zero when occupied |
Primary User Awareness Required | Channel gain to primary receiver must be known or estimated | Full knowledge of primary codebook and message required | Spectrum sensing or geolocation database lookup required |
Cognitive Capability Demand | Low to moderate; primarily power control | High; requires dirty paper coding or superposition coding | Moderate; reliable spectrum sensing and prediction |
Secondary Throughput Characteristic | Low but continuous; always available regardless of PU activity | Theoretically non-zero for both users simultaneously | Bursty; high when hole available, zero during PU transmission |
Primary User Performance Impact | Tolerable noise floor increase; slight SNR degradation | Improved or neutral; SU assists PU transmission | None; zero interference by design |
Regulatory Adoption Status | Ultra-wideband (UWB) and underlay D2D in 5G NR | Largely theoretical; limited practical deployment | TV white spaces, CBRS, and 5G NR-U Listen-Before-Talk |
Frequently Asked Questions
Explore the core concepts, mechanisms, and regulatory frameworks governing underlay spectrum sharing, where secondary users coexist with primary licensees by operating below strict interference temperature limits.
Underlay Spectrum Access is a spectrum sharing technique where secondary users (SUs) transmit concurrently with primary users (PUs) in the same frequency band by constraining their transmission power below a strict interference temperature limit. Unlike overlay access, which seeks vacant spectrum holes, underlay access treats the secondary signal as tolerable noise at the primary receiver. The mechanism relies on ultra-wideband (UWB) or spread spectrum signaling to spread transmission power over a wide bandwidth, ensuring the interference power spectral density remains below the regulatory noise floor. This guarantees that the primary user's signal-to-interference-plus-noise ratio (SINR) degradation is negligible, enabling continuous secondary communication without requiring spectrum sensing or dynamic frequency switching.
Enabling Efficiency, Speed & Accuracy
Intelligent Analysis, Decision & Execution
We build AI systems for teams that need search across company data, workflow automation across tools, or AI features inside products and internal software.
Talk to Us
Search across company data
Give teams answers from docs, tickets, runbooks, and product data with sources and permissions.
Useful when people spend too long searching or get different answers from different systems.

Automate internal workflows
Use AI to route work, draft outputs, trigger actions, and keep approvals and logs in place.
Useful when repetitive work moves across multiple tools and teams.

Add AI to products and internal tools
Build assistants, guided actions, or decision support into the software your team or customers already use.
Useful when AI needs to be part of the product, not a separate tool.
Related Terms
Core concepts and mechanisms that define the underlay spectrum access approach and its relationship to other dynamic spectrum sharing techniques.
Interference Temperature
The regulatory metric defining the maximum permissible interference at a primary receiver. Underlay access requires secondary transmitters to constrain their power so that the cumulative RF energy at the primary receiver remains below this threshold.
- Measured in Kelvin or dBm per unit bandwidth
- Represents the noise floor elevation a primary receiver can tolerate
- Differs from traditional noise limits by accounting for aggregate interference from multiple secondary users
- Defined by the FCC Spectrum Policy Task Force as a more dynamic alternative to fixed power limits
Spread Spectrum Underlay
A physical layer technique where secondary signals are deliberately spread over a bandwidth far wider than the information rate, reducing power spectral density below the noise floor of primary receivers.
- Direct Sequence Spread Spectrum (DSSS): Multiplies data with a high-rate pseudo-noise code
- Frequency Hopping Spread Spectrum (FHSS): Rapidly switches carrier across many frequencies
- Processing gain allows secondary users to operate at negative SNR relative to primary signals
- Originally developed for military anti-jamming; repurposed for civilian spectrum sharing
Ultra-Wideband (UWB)
A specific underlay implementation using extremely short pulses (sub-nanosecond) to occupy several gigahertz of spectrum simultaneously. UWB devices operate under strict FCC Part 15 emission masks.
- Power spectral density limited to -41.3 dBm/MHz
- Operates in 3.1-10.6 GHz band overlapping with existing services
- Enables high-precision indoor positioning and short-range high-data-rate links
- The canonical commercial example of regulatory-approved underlay spectrum access
Power Control in Underlay
The adaptive transmission power algorithm that ensures secondary users remain below the interference temperature limit at all primary receivers. This is the central control problem in underlay systems.
- Requires estimation of channel gain to primary receivers
- Often formulated as a convex optimization problem maximizing secondary throughput subject to interference constraints
- Reinforcement learning agents can learn optimal power policies without explicit channel models
- Must account for shadow fading and multi-user interference among secondary transmitters
Interweave Spectrum Access
The third major cognitive radio paradigm alongside underlay and overlay. Interweave access relies on opportunistic spectrum hole exploitation rather than concurrent transmission.
- Secondary users must perform spectrum sensing to detect idle bands
- No simultaneous primary-secondary transmission occurs
- Vacates channel immediately upon primary user return (spectrum mobility)
- Fundamentally different from underlay: avoids interference rather than managing it below a threshold
- Also known as Dynamic Spectrum Access (DSA) or opportunistic access

About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
Partnered with leading AI, data, and software stack.
How We Work
Custom AI workflows for your Business
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
01
Review the use case
We understand the task, the users, and where AI can actually help.
Read more02
Pick the right approach
We define what needs search, automation, or product integration.
Read more03
Build the first useful version
We implement the part that proves the value first.
Read more04
Improve from there
We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
Talk to Us