GNU Radio Spectrum Access

@markoa7

With my extensive experience in electronic hardware and firmware engineering, specializing in developing solutions like yours, I believe I am the best fit for your GNU Radio Spectrum Access project. I have a solid command of C programming, Python, and signal processing to develop a clean and efficient GNU Radio Companion file that meets your needs. My expertise in RF design and analysis are specifically tailored for applications such as WiFi, Bluetooth, and RFID, which align perfectly with your spectrum-sensing goals. Demonstrated by my proficiencies in PCB design and development (including multi-layered designs), I can ensure your graphs run seamlessly on your USRP(X310) at 10Msps without compromising performance or CPU usage. Additionally, my mastery of communication protocols like Ethernet, USB, UART amongst others enables smooth integration of the access policy module to retune the receiver/transmitter without sync loss or interruption. I have met similar challenges in the past with flying colors; from designing power supply circuits to optimizing antenna performance for specific applications. I am excited about the opportunity to harness these skills once again for your project. As a creative problem solver, I can assure you a well-commented and extensible solution with a comprehensive README. Let us connect and discuss how to implement this proof-of-concept in a timely and effective manner!

@hayteekeys

As an accomplished Firmware and Hardware Engineer with broad experience in the field of embedded systems and microcontrollers, I am uniquely positioned to deliver first-class solutions for your GNU Radio Spectrum Access project. My multilayered skill set encompasses both the depth of C programming and the versatility of Python, crucial for effective implementation of your proposed energy-detection flowgraph. Having successfully developed and optimized high-speed USRP pipelines in previous projects, including a well-received energy-detection work for GNU Radio, I am no stranger to the challenges that lay ahead on this project. Moreover, my proficiency extends seamlessly to various aspects like PCB design, testing & debugging, and even to automation systems that may complement this project downstream. One of my core strengths lies in delivering to specific criteria, making sure targets like adaptive thresholding, fast flagging, and low CPU usage on Ryzen-7 are met scrupulously. Compatible with default GNU Radio 3.10 stack on Ubuntu 22.04 with no external builds required is not only feasible but standard practice for me. Let me assure you; you will be satisfied with a clean and well-commented GNU Radio Companion file, coupled with a straightforward README section to extend or replicate testing parameters. Allow me the pleasure of proving how our shared passion for engineering can unlock new possibilities for spectrum access!

@maximg10

⭐Hi, I’m ready to assist you right away!⭐ I believe I’d be a great fit for your project since I have extensive experience in Python, software development, and signal processing. Additionally, I have worked on projects involving GNU Radio and energy-detection algorithms, which align perfectly with the requirements of your cognitive radio project. I have successfully developed and implemented intricate GNU Radio flowgraphs, including energy detection and dynamic spectrum access functionalities. My expertise ensures efficient spectrum hole detection and seamless retuning of the USRP transmitter/receiver, meeting your project's core objectives. If you have any questions, would like to discuss the project in more detail, or would like to know how I can help, we can schedule a meeting. Thank you. Maxim

@toriquldev123

Hello Dear! I write to introduce myself. I'm Engineer Toriqul Islam. I was born and grew up in Bangladesh. I speak and write in English like native people. I am a B.S.C. Engineer of Computer Science & Engineering. I completed my graduation from Rajshahi University of Engineering & Technology ( RUET). I love to work on Web Design & Development project. Web Design & development: I am a full-stack web developer with more than 10 years of experience. My design Approach is Always Modern and simple, which attracts people towards it. I have built websites for a wide variety of industries. I have worked with a lot of companies and built astonishing websites. All Clients have good reviews about me. Client Satisfaction is my first Priority. Technologies We Use: Custom Websites Development Using ======>Full Stack Development. 1. HTML5 2. CSS3 3. Bootstrap4 4. jQuery 5. JavaScript 6. Angular JS 7. React JS 8. Node JS 9. WordPress 10. PHP 11. Ruby on Rails 12. MYSQL 13. Laravel 14. .Net 15. CodeIgniter 16. React Native 17. SQL / MySQL 18. Mobile app development 19. Python 20. MongoDB What you'll get? • Fully Responsive Website on All Devices • Reusable Components • Quick response • Clean, tested and documented code • Completely met deadlines and requirements • Clear communication You are cordially welcome to discuss your project. Thank You! Best Regards, Toriqul Islam

@electronicsdone

Best GNU Radio & Cognitive Radio Development Partner ⭐⭐⭐⭐⭐ Hi Mohammed, Thanks for sharing the scope clearly. I’ve supported prototype-to-small-batch builds where real-time signal processing, hardware integration, and software testing needed careful design, coding, and verification. Your project looks very doable. The goal is simple: deliver a fully functional GNU Radio flowgraph for a USRP that performs energy-detection sensing and dynamic spectrum access in real time. ✅ How I’ll Help You Succeed 1. Review your USRP setup, channel requirements, and sensing specifications before starting development. 2. Develop a clean, well-commented GNU Radio Companion file (or Python blocks) that implements adaptive energy detection and flags spectrum holes fast enough for live operation. 3. Implement a simple access policy module that retunes the USRP transmitter/receiver without losing sync or stability. ✅ I’ve delivered many RF and USRP-based projects where real-time performance, code clarity, and hardware-software reliability were critical, and clear documentation made testing and replication straightforward. ✅ Before I start, one quick thing: Could you confirm the preferred sensing bandwidth and dwell time for your initial test, or should I optimize based on standard 5 MHz channels? If you share that, feel free to message me and we can align quickly. Best, Prat PCB Must Innovations

@julianm260

Hello, Mohammed, I’m a signal-processing and SDR developer with 6+ years of experience working with GNU Radio and USRP platforms, and I’ve carefully reviewed your cognitive radio spectrum-access requirements. I’ve built and optimized 15+ GNU Radio flowgraphs, including 6 high-rate USRP pipelines (5–20 Msps) on X-series hardware, with a strong focus on real-time stability and CPU efficiency. For this project, I’ll deliver a clean GNU Radio 3.10–compatible flowgraph implementing fast energy detection, adaptive thresholding, and reliable spectrum-hole flagging suitable for live hopping decisions. I’ve previously tuned energy-detection chains that sustained 10 Msps on a single Ryzen-class core, using FFT reuse, vectorized blocks, and careful buffer sizing to avoid overruns. I’ll implement a safe retuning/access policy module that dynamically moves the USRP RX/TX to an idle 5 MHz band without loss of sync or flowgraph crashes. You’ll receive a well-commented GRC file or Python blocks, plus a concise README explaining parameters, test replication, and how to extend sensing windows, thresholds, or dwell logic. I’ve also contributed internal research prototypes demonstrating real-time interference avoidance using GNU Radio and USRP hardware. If helpful, I can briefly note prior published or lab-validated energy-detection work and start with your preferred sensing window and hop latency targets.

@yaroslavmark

✅Okay, I got what you want exactly. I am a signal processing and embedded systems engineer with over 10 years of experience, providing GNU Radio development, USRP integration, and real-time spectrum sensing solutions. In my opinion, the most efficient approach is to implement an adaptive energy detector that dynamically adjusts thresholds based on measured noise levels while ensuring the USRP smoothly hops across idle channels without dropping sync. I would also integrate a lightweight access policy module to make rapid channel decisions while keeping CPU usage minimal. This project is very similar to my previous work. I recently developed a cognitive radio prototype that scanned 20 MHz of spectrum in real time using a B210, detecting multiple spectrum holes under varying interference and hopping to free sub-bands within 50 ms. I also optimized the Python flowgraph to run at 5 Msps on a single-core CPU without dropping samples, including adaptive threshold computation and automated retuning logic. ✅ So, I will divide your project like following: ⚡ Build the energy-detection flowgraph with adaptive thresholding ⚡ Implement a channel flagging system for spectrum holes ⚡ Create the dynamic access policy module for seamless USRP retuning ⚡ Test and optimize real-time performance for CPU efficiency ⚡ Document parameters, extendability, and usage in a concise README Best regards, Yaroslav

@novatech2210

Hi Mohammed, Just completed a similar high-speed USRP pipeline for another client, achieving efficient energy detection and dynamic spectrum-access decisions using GNU Radio. We’re the perfect fit for this project, given our expertise in building high-performance, real-time systems using Universal Software Radio Peripheral (USRP) and the GNU Radio framework. I specialize in designing clean, scalable GNU Radio flowgraphs that leverage energy-detection sensing and adaptive thresholding to identify spectrum holes. Our team is skilled in implementing advanced access policy modules that ensure seamless retuning of USRP transmitters/receivers without crashing or losing sync. Multiple 5-star reviews on complex USRP pipelines and energy-detection systems demonstrate our ability to deliver high-quality solutions that meet the most stringent requirements. Happy to jump on a quick call to discuss your project and explore how we can help you achieve your cognitive radio goals. Worst case, you get a free consultation and some valuable insights to accelerate your project. Chris | Lead Developer | Novatech

@niveditaj1

Hello, I will develop a proof-of-concept cognitive radio solution focused on real-time intelligent channel hopping. I will deliver a clean, well-commented GNU Radio Companion flowgraph (or equivalent Python blocks) that implements an energy-detection sensing mechanism on the USRP. The flowgraph will compute adaptive thresholding logic and rapidly flag available spectrum holes. I will integrate a simple, robust access policy module that safely retunes the USRP transmitter/receiver based on these flags without crashing or losing synchronization. I will provide a short README detailing key parameters, replication steps, and guidance on extending the sensing window, threshold logic, and dwell time. 1) Which specific Universal Software Radio Peripheral model are you currently using? 2) What is the highest acceptable latency (in milliseconds) from the start of sensing to the completion of the retune decision? 3) Which GNU Radio version are you currently running or prefer to use? Thanks, Nivedita

@jovicaa

Build a cognitive radio prototype in GNU Radio: • Develop a well-commented GNU Radio Companion flowgraph (or Python blocks) for adaptive energy-detection sensing on a USRP. • Implement a simple access policy to dynamically retune the USRP transmitter/receiver based on detected spectrum holes. • Provide a README with setup instructions, parameter explanations, and guidance for extending sensing/threshold logic. Acceptance: Flowgraph must run on an X310, switch to a free 5 MHz band under interference, use ≤1 Ryzen-7 core at 10 Msps, and be compatible with GNU Radio 3.10 on Ubuntu 22.04.

@ravichedwal

Yesh I'm we'll versed with the python and c++ so as i have read your Job description carefully so as i have some questions about that so when u are available here please text me so we can discuss on that if u can consider with me that as well.

@devdeveloper813

Hello, With over 6 years of focused development experience, I have a comprehensive understanding of the critical aspects of your GNU Radio Spectrum Access project. I am a skilled C and Python developer prepared to deliver an exceptional user experience by leveraging GNU Radio and Universal Software Radio Peripheral (USRP). Having previously worked on high-speed USRP pipelines, I'm well-versed in creating clean, commented GNU Radio Companion files or equivalent Python code that feature not only energy detection but thresholding adaptivity and dynamic spectrum access too. My attention to detail and capacity to write well-documented code would ensure you receive the clear instructions you need via the README file. I have extensive experience preventing crashes and preserving sync when developing on USRPs. Notably, I possess a deep-rooted knowledge of GNU Radio, including version 3.10 which is consistent with your project requirements. This firm knowledge also includes familiarity with Ubuntu 22.04 as an OS, so you can rest assured that no external forks will be required for successful completion of the project. Furthermore, my prior work in publishing energy-detection solutions in GNU Radio aligns closely with tasks outlined in this project description. Given the technical nature of this project, it's crucial that a professional such as myself with proven results take up the task. I promise to keep CPU usage within your specified par Thanks!

@TopWritingGuru

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@ivicab6

Hello, With my background in Data Engineering, Analytics, and Automation - combined with my extensive experience with Python - I feel perfectly positioned to tackle your GNU Radio project head-on. I have a solid understanding of signal processing and optimization strategies and can utilize these skills to build clean, well-commented GNU Radio Companion files for efficient energy detection. Not only am I skilled in building the core of your required work (energy detection, thresholding adaptation & dynamic spectrum access), but I can also successfully retune the USRP transmitter/receiver without crashing or losing sync. Additionally, I'm experienced in creating comprehensive README files that enhance usage and promote easy replication, which will be highly beneficial for your project. Lastly, please note that my work is always scalable and compatible with popular systems such as Ubuntu 22.04 and the default GNU Radio 3.10 stack. With me onboard, you can not only leverage my extensive Python skillset but also have the confidence that all your acceptance criteria will be met with unwavering precision and efficiency. Let's team up to create a high-performing cognitive radio system, designed to overcome any challenges thrown its way! Thanks!

@DngPhgNam

✅Hi there, hope you are doing well! I have experience working on high-speed USRP pipelines and have published projects involving energy detection and cognitive radio systems in GNU Radio. My successful implementation of dynamic spectrum access in previous projects allows me to approach your needs with confidence. Based on my experience, the most important part of successfully completing your project lies in efficiently implementing the adaptive thresholding logic to ensure real-time decisions occur without lag. I will develop a well-commented GNU Radio Companion flowgraph that meets your specifications, ensuring that the system operates smoothly and reliably under the set parameters. I'd like to work on this project sincerely from my confidence. Let's connect and discuss more.

@maryam951

Hello mohammedm826, I am Maryam Abbas, a Python expert with 4 years of experience. I have carefully read the requirements for the GNU Radio Spectrum Access project. I propose to create a well-commented GNU Radio Companion file implementing energy detection and adaptive thresholding, along with a module for dynamic spectrum access. The project will include a detailed README for easy replication and extension of the system. With my extensive experience in various technologies over the past 4 years, I have a proven track record of successful project deliveries and positive client feedback. You can review my portfolio at https://www.freelancer.pk/u/maryam951 Let's discuss your project further. Best regards, Maryam Abbas

@dorians2

Hi there, I have 7+ years of experience in Electronics, Python, Software Development and can deliver a clean, reliable solution for your project. I value clear communication and timely delivery, and I’m ready to get started immediately. Let’s connect and discuss your goals. Best regards, Dorian

@shubhamlight2

I’m interested in this project and have hands-on experience building and tuning GNU Radio flowgraphs with USRP hardware for real-time sensing and control. I understand this is a production-quality PoC cognitive radio, not a demo. I will deliver a clean, well-commented GNU Radio Companion flowgraph (with Python blocks where needed) that performs real-time energy detection with adaptive thresholding, optimized to run at 10 Msps within a single Ryzen-7 core. The sensing logic will reliably flag spectrum holes fast enough for live operation and allow easy tuning of window size, noise estimation, and thresholds. On top of this, I’ll implement a lightweight dynamic access policy module that safely retunes the USRP X310 RX/TX chain to an idle 5 MHz band without crashing, losing sync, or oscillating under interference. Retuning will be state-driven and rate-limited for stability. You’ll receive a GNU Radio 3.10–compatible flowgraph (no external forks), clean extensible code, and a short README explaining key parameters, test replication, and how to extend sensing windows, thresholds, or dwell time. The final system will allow you to light up a channel and observe reliable real-time hopping on Ubuntu 22.04. I’ve previously tuned high-throughput USRP pipelines and energy-detection logic in GNU Radio and can start immediately.

@syeds273

Hey , Thank you for sharing the job details. After going through the description, it’s clear you need someone confident with Electronics, Python, Microcontroller, C Programming, Embedded Systems, Signal Processing, Software Engineering and Software Development and can deliver clean, reliable results. That is exactly the kind of work done day to day, so this project is a great fit. Before getting started, there are a few points that would really help shape the best solution for you: Are all the mentioned skills and features mandatory, or is there any flexibility in the tech stack and scope? Is there any existing code, design, or documentation available, or should this be developed completely from scratch? What is your ideal timeline and any hard deadlines for milestones or final delivery? Why work with me? 1. More than 250 major projects completed, including complex, long-term engagements. 2. No negative feedback over the last 5 to 6 years, reflecting consistent quality and reliability. 3. 100+ recent major projects with 5-star reviews, showing that clients are not only satisfied but return with more work. Availability: 9 AM to 9 PM Eastern Time (full‑time freelancer, easy to collaborate and quick to respond). Portfolio: https://www.freelancer.com/u/syeds273 Recent, relevant work samples will be shared privately to protect client confidentiality. Please start the chat so we can finalize the project details, expectations, and the best execution plan. Regards, Syed.