Optimization of Wireless Multicast Systems Employing Hybrid-ARQ with Chase Combining

Kim, Junsu; Jin, Hu; Sung, Dan Keun; Schober, Robert

doi:10.1109/tvt.2010.2052117

Cited by 25 publications

(16 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…From Fig. 6 and regardless of the network coding strategy in use, we observe that the values of τ (u,1:ℓ) when q = 2 are very close to those obtained when q = 2 8 . In particular, the greatest performance gap is associated in the case of RLNC and it is smaller than 6 coded packets.…”

Section: B Performance Evaluation Of the Proposed Resource Allocatiosupporting

confidence: 57%

Analysis and Optimization of Sparse Random Linear Network Coding for Reliable Multicast Services

Tassi

Chatzigeorgiou

Lucani

2016

IEEE Trans. Commun.

View full text Add to dashboard Cite

Point-to-multipoint communications are expected to play a pivotal role in next-generation networks. This paper refers to a cellular system transmitting layered multicast services to a multicast group of users. Reliability of communications is ensured via different Random Linear Network Coding (RLNC) techniques. We deal with a fundamental problem: the computational complexity of the RLNC decoder. The higher the number of decoding operations is, the more the user's computational overhead grows and, consequently, the faster the battery of mobile devices drains. By referring to several sparse RLNC techniques, and without any assumption on the implementation of the RLNC decoder in use, we provide an efficient way to characterize the performance of users targeted by ultra-reliable layered multicast services. The proposed modeling allows to efficiently derive the average number of coded packet transmissions needed to recover one or more service layers. We design a convex resource allocation framework that allows to minimize the complexity of the RLNC decoder by jointly optimizing the transmission parameters and the sparsity of the code. The designed optimization framework also ensures service guarantees to predetermined fractions of users. The performance of the proposed optimization framework is then investigated in a LTE-A eMBMS network multicasting H.264/SVC video services.

show abstract

Section: B Performance Evaluation Of the Proposed Resource Allocatiosupporting

confidence: 57%

Analysis and Optimization of Sparse Random Linear Network Coding for Reliable Multicast Services

Tassi

Chatzigeorgiou

Lucani

2016

IEEE Trans. Commun.

View full text Add to dashboard Cite

show abstract

“…In particular, the classical HARQ-SC scheme (Section 2) and the optimized HARQ approach proposed by Kim et al [12] have been considered. The analytical predictions derived according to the performance evaluation method outlined in Section 2 will be also validated by comparisons with simulation results.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…The figures also compare both analytical and simulation results; also in this case, we can not that the analytical predictions match the simulation results. Figures 10-11 show the mean (normalized) multicast delivery delay performance of the optimized MHARQ-SC Likewise, Figure 12 compares the performance of the optimized MHARQ-SC scheme with that achieved by the rate optimized HARQ-SC scheme proposed by Kim et al [12] (indicated in the figure as Opt. HARQ-SC).…”

Section: Numerical Resultsmentioning

confidence: 99%

See 1 more Smart Citation

An efficient HARQ scheme for applications in multicast communication systems

Chiti

Fantacci

Tassi

2013

Wirel. Commun. Mob. Comput.

View full text Add to dashboard Cite

This paper deals with the performance evaluation and optimization of an efficient hybrid automatic repeat request (HARQ) scheme suitable for applications delivered over lossy multicast communication channels. In particular, different from previously investigated strategies, this paper proposes a modified HARQ scheme based on the symbol combining principle (MHARQ-SC) where multiple copies of a same packet are consecutively transmitted at each transmission opportunity. By considering as the performance metrics, the mean packet delivery delay, and the energy consumption per information packet, this paper presents suitable performance evaluation and optimization strategies tailored for multicast communications. For the sake of comparisons, it has been also analyzed, under the same operational conditions, the performance of different HARQ schemes optimized for multicast communications. Numerical results have been provided to validate the proposed performance evaluation and optimization approaches in the case of the MHARQ-SC scheme. An important result devised here is that the reported analytical results clearly highlight the performance gain of the proposed strategy in comparison with all the other considered alternatives.

show abstract

“…Some techniques are based on enhancement schemes at the base station (BS) level such as network coding [1], automatic repeat request protocols [2], or adaptive modulation and layered coding [3]. Others are based on cooperation among the MTs using an ad hoc mode (mobile-to-mobile connections) to increase the multicasting efficiency.…”

Section: Introductionmentioning

confidence: 99%

Optimized energy-aware multicasting over wireless cellular networks with multihop cooperation

Al-Kanj

Dawy

2012

2012 IEEE International Conference on Communications (ICC)

View full text Add to dashboard Cite

Multicasting provides a scalable solution to deliver a common content to a set of requesting mobile terminals in wireless broadband networks. However, the multicasting rate is limited by the worst channel conditions of the mobile terminals which increases the content download time, and consequently, increases the energy consumed from the mobile terminals' batteries. In this paper, we address the problem of cooperative multicasting where a base station multicasts the content over a cellular network to an optimally selected set of mobile terminals, that in turn multicast the content over multihop connections to other mobile terminals in their vicinity which leads to the formation of cooperative groups. We formulate the joint problem of content distribution, group formation, and interference avoidance as a linear mixed binary optimization problem with the objective of minimizing the total energy consumed by the mobile terminals. Moreover, we propose a simplified multicasting formulation with a close to optimal performance but with a lower computational complexity. Results demonstrate remarkable energy consumption reduction gains in various network scenarios.

show abstract

Optimization of Wireless Multicast Systems Employing Hybrid-ARQ with Chase Combining

Cited by 25 publications

References 21 publications

Analysis and Optimization of Sparse Random Linear Network Coding for Reliable Multicast Services

Analysis and Optimization of Sparse Random Linear Network Coding for Reliable Multicast Services

An efficient HARQ scheme for applications in multicast communication systems

Optimized energy-aware multicasting over wireless cellular networks with multihop cooperation

Contact Info

Product

Resources

About