Evidence map›Paper›PMID 33396367›Full record

ArticleSensors (Basel, Switzerland)2020

Joint Optical and Wireless Resource Allocation for Cooperative Transmission in C-RAN.

Peng Yang, Liao Chen, Hong Zhang, Jing Yang, Ruyan Wang, Zhidu Li

Abstract read
In one paragraph

Article in Sensors (Basel, Switzerland), 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

6 authors.

Peng YangSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Liao ChenSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Hong ZhangSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.ORCID 0000-0002-3406-5713
Jing YangSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.
Ruyan WangSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.ORCID 0000-0003-3109-4807
Zhidu LiSchool of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.ORCID 0000-0001-5810-541X

Funding

National Natural Science Foundation of China 61771082, 61871062Natural Science Foundation of Chongqing, China cstc2020jcyj-zdxmX0024Science and Technology Research Program of Chongqing Municipal Education Commission KJQN202000626, KJQN201900609University Innovation Research Group of Chongqing CXQT20017
6 · The paper itself

Abstract

Cooperative multipoint transmission (CoMP) is one of the most promising paradigms for mitigating interference in cloud radio access networks (C-RAN). It allows multiple remote radio units (RRUs) to transmit the same data flow to a user to further improve the signal quality. However, CoMP may incur redundant data transmission over fronthaul network in the C-RAN. In a C-RAN employing CoMP, a key problem is how to coordinate heterogeneous resource allocation to maximize the cooperation gain while reducing the fronthaul load. In this paper, the cooperation transmission based on a multi-dimensional resource schedule (MRSCT) scheme, jointly considering user association, spectrum resource allocation, and wavelength resource allocation, is firstly envisioned in the underlying C-RAN integrating time and wavelength division multiplexing passive optical network (TWDM-PON) to maximize fronthaul efficiency. Then a two-timescale resource allocation framework including two sub-approaches is established. More specially, the first sub-approach mainly focuses on exploiting reinforcement learning to obtain a wavelength resource allocation strategy to relieve fronthaul traffic load. Moreover, the second sub-approach adopts the overlapping coalition formation game to establish a user-centric cooperative set, where spectrum resources are dynamically allocated to further alleviate the interference issue. The theoretical analysis and simulation results validate the performance of MRSCT scheme on the fronthaul efficiency, user experience, and system service capability.

Indexed as

cooperative transmissionC-RANresource scheduleTWDM-PON

Identifiers

PMID33396367
PMCPMC7794835

What OpenQuestion holds

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Registered trials

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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.