Performance analysis of the WIMAX-D physical layer blocks on a next generation baseband processor platform
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
This paper provides an overview of the radio interface physical layer requirements of WIMAX. Worldwide Interoperability for Microwave Access was defined by the WIMAX Forum formed in 2001. WIMAX is defined in the IEEE 802.16 standard. Wireless MAN Standards-based technology enable the delivery of last mile wireless broadband access as an alternative to Cable and DSL. This paper then presents the implementation of the current WIMAX standards on a second generation flexible baseband processor. The implementation will be limited to the receiver chain blocks and will be entirely in ANSI C, written for a fixed point digital signal processor. The underlying assumption of this implementation is to avoid any hardware accelerators that would make the platform for the baseband processing become standard specific. The SB3500 is the second generation of SandBlaster-based low power, high performance System on a Chip (SoC) products developed to serve the Software Defined Radio (SDR) modem applications space. It is a multi-core device, containing 3 'SBX' DSP cores. The software implementation of WIMAX physical layer includes implantation of OFDM and receiver chain processing in ANSI C. The projected processing requirements of a WIMAX terminal on the SB3500 are presented with the expected number of cores needed for the data rates analyzed. The down-sampling filter used for the initial Synchronization and for the fine synchronization, FFT block, and Channel estimation for each reference symbol are included in this analysis. The specific architectural features of the SB3500 and the compiler optimizations to yield a real time software implementation of WIMAX are also presented.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it