A subspace-based active user identification scheme for cdma ad hoc networks
Bibliographic record
Abstract
We propose a novel spreading code scheme, Transmitter-Receiver-Based Code, for wire- less ad hoc networks. A subspace-based active user identification algorithm based on the proposed spreading code design is introduced. The perfor- mance of the active user identifier is also studied by investigating the false alarm rate Pj and miss rate P, with respect to the identifier threshold value dth. I. INTRODUCTION In a non-centralized CDMA ad hoc network where trans- missions between any pairs of nodes are allowed, designing a good spreading code scheme is challenging. Simple code schemes such as receiver-based code or transmitter-based code are either susceptible to packet collisions or require high com- plexity receivers (l). We propose a novel spreading code de- sign, the Transmitter-Receiver-Based Code (TRBC), that is collision free and also enables each receiver to identify and de- code the packets transmitted to itself, while suppressing the interfering packets blindly. For the TRBC code, each node in the network is assigned two unique binary (fl's) spreading codes wm and pm (m = 1, . . . , M) of processing gain N. The transmission from node i to j uses spreading code s,,j = wi 0 p3, where o denotes the Hadamard (or element-wise) product of two matrices.
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How this classification was reachedexpand
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 | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".