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Redouane Sassioui

dblp:130/3781 · DBLP profile ↗
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4ranked-venue papers
3as first author
0since 2021 · last 2017
0000-0003-0659-6143ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Computer networks · 3 · 3 first-authorArtificial intelligence and machine learning · 1Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Computer networks
1 paper
Physical-layer communications · 50% Transport protocols and congestion control · 25% Wireless networking · 25%

Topics — the 4 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Physical-layer communications › modulation
adaptive modulation and coding
0.312017
HARQ and AMC: Friends or Foes? · IEEE Trans. Commun. 2017
Transport protocols and congestion control
error control
0.312017
HARQ and AMC: Friends or Foes? · IEEE Trans. Commun. 2017
Physical-layer communications › channel coding
hybrid ARQ
0.312017
HARQ and AMC: Friends or Foes? · IEEE Trans. Commun. 2017
Wireless networking
link adaptation
0.312017
HARQ and AMC: Friends or Foes? · IEEE Trans. Commun. 2017
YearPublicationVenuePosition
2017 Improving Real-Time Bidding Using a Constrained Markov Decision Process
Manxing Du, Redouane Sassioui, Georgios Varisteas, Radu State, Mats Brorsson, Omar Cherkaoui
ADMA2
2017 HARQ and AMC: Friends or Foes?
Redouane Sassioui, Mohammed Jabi, Leszek Szczecinski, Long Bao Le, Mustapha Benjillali, Benoit Pelletier
IEEE Trans. Commun.1
2016 HARQ and AMC: Friends or Foes?
abstract
To ensure reliable communications in randomly varying and error-prone channels, wireless systems use adaptive modulation and coding (AMC) as well as hybrid ARQ (HARQ). In order to elucidate their compatibility and interaction, we compare the throughput provided by AMC, HARQ, and their combination (AMC-HARQ) under two operational conditions: in slow- and fast block-fading channels. Considering both incremental redundancy HARQ and repetition redundancy HARQ, we optimize the rate-decision regions for AMC/HARQ and compare them in terms of attainable throughput. Under a fairly general model of the channel variation and the decoding functions, we conclude that: 1) adding HARQ on top of AMC may be counterproductive in the high average signal-to-noise ratio regime for fast fading channels and 2) HARQ is useful for slow fading channels, but it provides moderate throughput gains. We provide explanations for these results which allow us to propose paths to improve AMC-HARQ systems.
Redouane Sassioui, Mohammed Jabi, Leszek Szczecinski, Long Bao Le, Mustapha Benjillali, Benoit Pelletier
GLOBECOM1
2016 AMC and HARQ: Effective capacity analysis
abstract
Modern wireless systems deal with the adverse and unpredictable channel conditions using two main transmission schemes considered as complimentary: adaptive modulation and coding (AMC) and hybrid ARQ (HARQ). In this work we use the effective capacity as the performance measure to evaluate different design options. We thus show how to calculate this performance measure under independent, identically distributed (i.i.d.) block-fading channel model considering AMC, HARQ and more importantly, a combination of thereof. Numerical results indicate that AMC alone outperforms the other schemes in the region of high average SNR; we provide an explanation for this observation and discuss possible paths for improvement.
Redouane Sassioui, Leszek Szczecinski, Long Bao Le, Mustapha Benjillali
WCNC1