Overlay D2D vs. Cellular communications: A stability region analysis

Ibrahim, Rita; Assaad, Mohamad; Sayraç, Berna; Ephremides, Anthony

doi:10.1109/iswcs.2017.8108144

Cited by 8 publications

(7 citation statements)

References 8 publications

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“…It is important to establish a dynamic traffic model to describe sporadic wireless data generation instead of saturated traffic. There are some literature works related to performance analysis on D2D communications using the queuing model [15,32,33]. In [15], the authors investigated the performance of resource allocation schemes in D2D communications by formulating a queuing model with a resource allocation strategy.…”

Section: Related Workmentioning

confidence: 99%

“…In [15], the authors investigated the performance of resource allocation schemes in D2D communications by formulating a queuing model with a resource allocation strategy. In [32], the authors investigated the stability region for overlay D2D communication in which a user-to-user communication and user-to-BS communication coexisted. A new transmission strategy was proposed in [33], which modeled the characteristics of dynamic interference and system behavior as an M/G/1queuing model.…”

Section: Related Workmentioning

confidence: 99%

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Performance Analysis of D2D Communication with Retransmission Mechanism in Cellular Networks

et al. 2020

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In this paper, we focus on the performance analysis of device-to-device (D2D) underlay communication in cellular networks. First, we develop a spatiotemporal traffic model to model a retransmission mechanism for D2D underlay communication. The D2D users in backlogged statuses are modeled as a thinned Poisson point process (PPP). To capture the characteristics of sporadic wireless data generation and limited buffer, we adopt queuing theory to analyze the performance of dynamic traffic. Furthermore, a feedback queuing model is adopted to analyze the performance with retransmission strategy. With the consideration of interference and channel fading, the service probability of the queue departure process is determined by the received signal-to-interference-plus-noise ratio (SINR). Then, the embedded Markov chain is employed to depict the queuing status in the D2D user buffer. We compute its steady-state distribution and derive the closed-form expressions of performance metrics, namely the average queue length, average throughput, average delay, and dropping probability. Simulation results show the validity and rationality of the theoretical analysis with different channel parameters and D2D densities. In addition, the simulation explores the dropping probability of a D2D user with and without the retransmission strategy for different D2D links in the system. When the arrival rate is comparatively high, the optimal throughput is reached after fewer retransmission attempts as a result of the limited buffer.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Performance Analysis of D2D Communication with Retransmission Mechanism in Cellular Networks

et al. 2020

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“…We consider overlay D2D (e.g. see [25]) where dedicated resources are allocated to D2D links in order to mitigate interference between D2D and cellular communications (i.e. no reuse of cellular resources).…”

Section: System Modelmentioning

confidence: 99%

When Distributed Outperforms Centralized Scheduling in D2D-Enabled Cellular Networks

Ibrahim

Assaad

Sayraç

et al. 2018

Proceedings of the 21st ACM International Conference on Modeling, Analysis and Simulation of Wireless and Mobile Systems

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Employing channel adaptive resource allocation can yield to a large enhancement in almost any performance metric of Device-to-Device (D2D) communications. We observe that D2D users are able to estimate their local Channel State Information (CSI), however the base station needs some signaling exchange to acquire this information. Based on the D2D users' knowledge of their local CSI, we provide a scheduling framework that shows how distributed approach outperforms centralized one. We start by proposing a centralized scheduling that requires the knowledge of D2D links' CSI at the base station level. This CSI reporting suffers from the limited number of resources available for feedback transmission. Therefore, we benefit from the users' knowledge of their local CSI to develop a distributed algorithm for D2D resource allocation. In distributed approach, collisions may occur between the different CSI reporting; thus a collision reduction algorithm is proposed. We give a description on how both centralized and distributed algorithms can be implemented in practice. Furthermore, numerical results are presented to corroborate our claims and demonstrate the gain that the proposed scheduling algorithms bring to cellular networks.

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“…Usually, studies on D2D are about increasing the data rate [32] or extending coverage. It has also been proved that within a certain distance it is better to communicate through D2D than passing through the cellular BS [33]. In this paper, we would like to create a map of all the UEs by exchanging information in order to detect neighbors devices as in [34][35][36].…”

Section: Ue Mapping Using Direct Radio Linksmentioning

confidence: 99%

The virtual small cells based on UE positioning: a network densification solution

Santana

Lopez

Galindo-Serrano

2018

EURASIP J. Adv. Signal Process.

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Next wireless generation mobile networks will be composed of a large number of antennas at the base station (BS), which is known as massive multiple input multiple output (MIMO). Thanks to this technology, the BS can focus the energy on a user equipment (UE) or group of UEs to improve their throughput and the network capacity. We call these coverage areas virtual small cells (VSCs). Their main advantage is that they allow increasing the network capacity through a virtual densification, therefore, avoiding the deployment cost of new infrastructure. Identifying the dense traffic areas in real time and providing a good quality of service arises as a key challenge to be addressed. Our work focuses on the interaction between the VSCs and the identification of the dense traffic areas, where a feedback scheme is proposed. This feedback scheme is based on the location of these dense traffic areas provided by our proposed clustering methods. To conduct this research, we propose (i) a VSC architecture and system model with a specific codebook in order to avoid feedback overhead, and (ii) two positioning algorithms in order to determine the hotspots localization. The first positioning algorithm is based on K-means method and is centralized at the BS using Global Positioning System (GPS) coordinates, and the second one is based on cooperative communications using ultra-wideband (UWB) signals in order to avoid the network participation. Finally, simulations of these positioning methods intended for the use of the VSCs are presented. These results show significant improvement compared to already existing methods. Furthermore, these positioning methods highly reduce the feedback since, accordingly to our VSC model, the BS only requires angles information based on the localized hotspots.

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Overlay D2D vs. Cellular communications: A stability region analysis

Cited by 8 publications

References 8 publications

Performance Analysis of D2D Communication with Retransmission Mechanism in Cellular Networks

Performance Analysis of D2D Communication with Retransmission Mechanism in Cellular Networks

When Distributed Outperforms Centralized Scheduling in D2D-Enabled Cellular Networks

The virtual small cells based on UE positioning: a network densification solution

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