Power Allocation and Error Performance of Distributed Unitary Space–Time Modulation in Wireless Relay Networks
Bibliographic record
Abstract
A wireless relay network allows relays to cooperate with each other, emulate a virtual array of transmit antennas, and perform distributed space-time modulation of the source signals. In this paper, two types of relay networks are considered-one with no channel state information (CSI) (i.e., the noncoherent networks) and one with only the information of the relay-to-destination channels (i.e., the partially coherent networks) at the destination. First, a new optimal power-allocation (PA) scheme is derived to maximize the average signal-to-noise ratio (SNR) at the destination while minimizing the amount of fading experienced over the network. Second, the Fourier-based unitary space-time modulation (USTM), which was originally proposed for multiple colocated transmit antennas, is applied to wireless relay networks. The receivers for such distributed USTM over noncoherent and partially coherent networks are developed, and their error performances are shown to be asymptotically the same. The impact of different PA schemes on the error performance of distributed USTM is thoroughly illustrated with simulation results.
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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 | 0.000 | 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 | 0.000 | 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".