Evidence map›Paper›PMID 40866455›Full record

ArticleScientific reports2025

Joint beamforming and transmit power control for maximizing uplink communication rate of active IRS-assisted ISAC system.

Jihong Wang, Siyu Lu

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Jihong WangSchool of Electrical Engineering, Northeast Electric Power University, Jilin, 132012, China. wangjihong@neepu.edu.cn.
Siyu LuSchool of Electrical Engineering, Northeast Electric Power University, Jilin, 132012, China.

Funding

National Natural Science Foundation of China 61901102Science and Technology Development Plan Project of Jilin City 20240103052
6 · The paper itself

Abstract

Existing studies related to active intelligent reflecting surface (IRS)-assisted integrated sensing and communication (ISAC) systems generally focus on sensing performance optimization in downlink communication scenarios, and there lacks research that explores the potential of active IRS to boost the communication performance under the sensing performance constraints in more complex uplink communication scenarios. Inspired by the current situation mentioned above, this paper constructs the uplink communication rate maximization problem for active IRS-assisted uplink ISAC system. With the aim of solving the constructed highly non-convex problem involving strong coupling among multiple optimization variables, a joint beamforming and transmit power control strategy is proposed in this paper. The Lagrangian dual transformation and fractional programming methods are first applied to simplify the objective function, and then the optimization variables are solved iteratively by alternating optimization algorithm, maximization-minimization algorithm, and semidefinite relaxation algorithm. Simulation analysis demonstrates that compared to the passive IRS benchmark strategy and the two random configuration strategies, the strategy presented in this paper has the ability to achieve 27.3%, 9.5% and 11.4% user uplink communication rate enhancement ratios, respectively. Additionally, under a fixed total power budget, increasing the maximum transmit power of the dual functional radar-communication base station may impair the communication performance.

Identifiers

PMID40866455
PMCPMC12391318

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.