Performance Analysis of Device-to-Device Aided Multicasting in General Network Topologies

Santana, Thomas Varela; Combes, Richard; Kobayashi, Mari

doi:10.1109/tcomm.2019.2946772

Cited by 12 publications

(8 citation statements)

References 19 publications

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“…which is non-vanishing in the first case as in [18] and increasing as log 1 + √ K in the second case.…”

Section: Asymptotic Behavior Of the D2d-smam Algorithmmentioning

confidence: 87%

“…To overcome this issue, different approaches have been considered in the literature (e.g., [3], [5]- [8], [12]- [18]), which can be roughly classified into three groups. In the first group, a subset of UEs in good channel conditions is selected to be served, whereas the UEs in poor channel conditions are neglected [12], [13].…”

Section: Introductionmentioning

confidence: 99%

“…channels. Recently, [18] characterized the multicast scaling for a more general network topology (capturing the pathloss) and showed that, with statistical CSIT, the average multicast rate increases as log(log(K)). A similar analysis can be found in [7] for IEEE 802.16-based wireless metropolitan area networks.…”

Section: Introductionmentioning

confidence: 99%

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D2D-Aided Multi-Antenna Multicasting

Mursia

Atzeni

Gesbert

et al. 2019

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

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Multicast services, whereby a common valuable message needs to reach a whole population of user equipments (UEs), are gaining attention on account of new applications such as vehicular networks. As it proves challenging to guarantee decodability by every UE in a large population, service reliability is indeed the Achilles' heel of multicast transmissions. To circumvent this problem, a two-phase protocol capitalizing on device-to-device (D2D) links between UEs has been proposed, which overcomes the vanishing behavior of the multicast rate. In this paper, we revisit such a D2D-aided protocol in the new light of precoding capabilities at the base station (BS). We obtain an enhanced scheme that aims at selecting a subset of UEs who cooperate to spread the common message across the rest of the network via D2D retransmissions. With the objective of maximizing the multicast rate under some outage constraint, we propose an algorithm with provable convergence that jointly identifies the most pertinent relaying UEs and optimizes the precoding strategy at the BS.

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“…which is non-vanishing in the first case as in [18] and increasing as log 1 + √ K in the second case.…”

Section: Asymptotic Behavior Of the D2d-smam Algorithmmentioning

confidence: 87%

Section: Introductionmentioning

confidence: 99%

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D2D-Aided Multi-Antenna Multicasting

Mursia

Atzeni

Gesbert

et al. 2019

ICC 2019 - 2019 IEEE International Conference on Communications (ICC)

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“…In [16], the capacity of the multicast channels with DF user cooperation was derived for the cases with both the causally and the non-causally known channel state information, respectively. In [17], [22], the authors minimized the outage probability of the multicast transmission with the DF user cooperation scheme. The authors in [18]- [20] investigated the energy efficiency of the multicast transmissions with the DF user cooperation scheme, and the optimal power allocation was obtained for the users [18] and the transmitter [19], respectively.…”

Section: Introductionmentioning

confidence: 99%

Multicast Transmissions With Full-Duplex Amplify-and-Forward User Cooperation

Zhang

Huang

2020

IEEE Access

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In order to improve the multicast transmissions, a full-duplex (FD) user cooperation scheme is proposed. In this paper, the transmitter sends the common messages to two FD users, and each user forwards its received signals to its counterpart by amplify-and-forward (AF) scheme. Considering the imperfect selfinterference (SI) cancellation at the users and the AF scheme, the residual self-interference and the additive noise (RIAN) is shown to be accumulated over time. This paper first analyzes the equivalent channel model of the considered system, as well as the asymptotic statistics of the accumulated RIAN. Then, with the forward and backward decoding schemes, the corresponding achievable rates are derived, and the optimal power allocation is obtained via solving a max-min problem. In particular, one-side cooperation scheme (i.e., only one user forwards its received signal to its counterpart) is shown to be optimal to achieve the best system performance.INDEX TERMS Multicast, cooperative communication, full-duplex (FD), amplify-and-forward (AF), optimal power allocation.

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“…Cooperative multicasting represents a new transmission paradigm that promises to bring significant performance gains in multicast applications with a large UE population (such as connected car networks) [6], [7]. In this respect, device-todevice (D2D) communications can be used to overcome the vanishing multicast capacity when the number of UEs grows large [8]- [10]. Cooperative multicasting schemes usually divide the total transmission duration in two phases: in the first phase, the BS multicasts a common message to the UEs and, in the second phase, the UEs who have successfully decoded the message in the first phase jointly (yet non-coherently) retransmit it to the rest of the UE population.…”

Section: Introductionmentioning

confidence: 99%

D2D-Aided Multi-Antenna Multicasting in a Dense Network

Mursia

Atzeni

Kobayashi

et al. 2019

2019 53rd Asilomar Conference on Signals, Systems, and Computers

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We consider the problem of multicast transmission in cooperative cellular systems, where a base station (BS) aims at conveying a common message to a set of user equipments (UEs) that are also connected with each other via device-todevice (D2D) links. Assuming statistical channel knowledge at the BS, we design a two-phase scheme that exploits multi-antenna transmission at the BS and D2D communications between the UEs to achieve a non-vanishing multicast rate when the number of UEs grows large. This represents a non-trivial extension of our previous work, which is restricted to the case of instantaneous channel knowledge at the BS (and is thus impractical for dense networks). Finally, we study the scaling of the resulting multicast rate as a function of the number of UEs and BS antennas for different practical scenarios.

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Performance Analysis of Device-to-Device Aided Multicasting in General Network Topologies

Cited by 12 publications

References 19 publications

D2D-Aided Multi-Antenna Multicasting

D2D-Aided Multi-Antenna Multicasting

Multicast Transmissions With Full-Duplex Amplify-and-Forward User Cooperation

D2D-Aided Multi-Antenna Multicasting in a Dense Network

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