Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 243

The DOI matches its Crossref record.

Multicast Scheduling and Resource Allocation Algorithms for OFDMA-Based Systems: A Survey

Afolabi, Richard O., Dadlani, Aresh, Kim, Kiseon·2013·IEEE Communications Surveys & Tutorials

Abstract

Multicasting is emerging as an enabling technology for multimedia transmissions over wireless networks to support several groups of users with flexible quality of service (QoS) requirements. Although multicast has huge potential to push the limits of next generation communication systems; it is however one of the most challenging issues currently being addressed. In this survey, we explain multicast group formation and various forms of group rate determination approaches. We also provide a systematic review of recent channel-aware multicast scheduling and resource allocation (MSRA) techniques proposed for downlink multicast services in OFDMA based systems. We study these enabling algorithms, evaluate their core characteristics, limitations and classify them using multidimensional matrix. We cohesively review the algorithms in terms of their throughput maximization, fairness considerations, performance complexities, multi-antenna support, optimality and simplifying assumptions. We discuss existing standards employing multicasting and further highlight some potential research opportunities in multicast systems.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1109/surv.2012.013012.00074

Cites

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cited by

See all 243

Metadata

Authors
Afolabi, R. O., Dadlani, A., & Kim, K.
Venue
IEEE Communications Surveys & Tutorials
Published
2013
Volume
15
Issue
1
Pages
240-254
ISSN
1553-877X (ISSN-L)
OpenAlex
W2018583728
Cited by
243
References
0
FWCI
15.46
Type
journal article
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Multicast Scheduling and Resource Allocation Algorithms for OFDMA-Based Systems: A Survey. https://app.cochat.ai/papers/10.1109/surv.2012.013012.00074
The paper
Afolabi, R. O., Dadlani, A., & Kim, K. (2013). Multicast Scheduling and Resource Allocation Algorithms for OFDMA-Based Systems: A Survey. IEEE Communications Surveys & Tutorials. https://doi.org/10.1109/surv.2012.013012.00074

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.