Design aspects of network assisted device-to-device communications

Fodor, Gábor; Dahlman, Erik; Mildh, Gunnar; Parkvall, Stefan; Reider, Norbert; Miklós, György; Turányi, Zoltán

doi:10.1109/mcom.2012.6163598

Cited by 1,208 publications

(715 citation statements)

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“…LTE for public safety requires D2D communications also without the eNB coverage to guarantee the communication also in disaster areas [23]. D2D functionality for LTE technology is currently under standardization [24][25][26][27] and it brings many technical challenges [28,29]. However, the development is still on a beginning stage, and there are plenty of open research issues in D2D communications [30].…”

Section: Related Workmentioning

confidence: 99%

Ad Hoc LTE Method for Resilient Smart Grid Communications

Markkula

Haapola

2017

Wireless Pers Commun

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LTE network is a good choice for delivering smart grid demand response (DR) traffic. However, LTE connectivity is not pervasively available due to smart meter improper positioning, limited of coverage, or base station software or hardware failures. In this paper, a solution is introduced to overcome issues relating to lack of LTE base station connectivity for user equipment (UE) considered as remote terminal units, i.e. communication interfaces connected to smart meters. The solution is an ad hoc mode for the LTEAdvanced UE. The ad hoc mode is applied to reach a relay node that is the nearest UE with base station connection. DR traffic is delivered between clusters of UEs and a relay node using multi-hop communications. Analytical Markov chain models and a Riverbed Modeler network simulation model are implemented to illustrate the functionalities and the performance when DR traffic is delivered with varying transmission power levels. A detailed physical layer propagation model for device-to-device communications, a static resource allocation in time domain, hybrid automatic repeat request retransmissions, and a capability for a UE to receive uplink transmissions are modeled both analytically and in the simulator. Both the disjoint analysis and simulations show that all packets are successfully transmitted at most with the fourth transmission attempt and the average network delay is low enough to support most of the smart grid DR applications (139.2-546.6 ms).

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Section: Related Workmentioning

confidence: 99%

Ad Hoc LTE Method for Resilient Smart Grid Communications

Markkula

Haapola

2017

Wireless Pers Commun

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“…Therefore, a cellular network that supports D2D communications has two kinds of UEs. One is the DUEs that transmit and receive data without eNB relaying, and the other is conventional cellular UEs (or CUEs) that communicate via the base station [4]. The 3rd Generation Partnership Project (3GPP) has considered two modes of D2D communications: mode-1 and mode-2 [5].…”

Section: Introductionmentioning

confidence: 99%

SC-FDMA-based resource allocation and power control scheme for D2D communication using LTE-A uplink resource

Shah

Hasan

et al. 2015

J Wireless Com Network

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Device-to-device (D2D) communication-enabled cellular networks allow cellular devices to directly communicate with each other without any evolved NodeB (eNB). D2D communication aims to improve the spectral efficiency and increases the overall system capacity. For future mobile networks, intelligent radio resource allocation and power control schemes are required to accommodate the increasing number of cellular devices and their growing demand of data traffic. In this paper, a combined resource allocation and power control scheme for D2D communication is proposed. In the proposed scheme, D2D communication reuses the uplink (UL) resources of conventional cellular user equipments (CUEs); therefore, we have adopted single-carrier frequency division multiple access (SC-FDMA) as UL transmission scheme. The proposed scheme uses fractional frequency reuse (FFR)-based architecture to efficiently allocate the resources and mitigate the interference between CUEs and D2D user equipments (DUEs). In order to guarantee the user fairness, the proposed scheme uses the well-known proportional fair (PF) scheduling algorithm for resource allocation. We have also proposed an intelligent power control scheme which provides equal opportunity to both CUEs and DUEs to achieve a certain minimum signal-to-interference and noise ratio (SINR) value. The performance evaluation results show that the proposed scheme significantly improves the overall cell capacity and achieves low peak-to-average power ratio (PAPR).

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“…To address the higher demands imposed on wireless networks, more spectrally efficient and energy efficient approaches should be developed. Device-to-device (D2D) communication underlaying cellular networks is proposed to improve cell spectral and energy efficiency of the network [2], [3]. In D2D transmission mode, user equipments (UEs) communicate directly to their intended receivers as opposed to the conventional cellular mode where they communicate through the base station (BS).…”

Section: Introductionmentioning

confidence: 99%

“…In this paper, we consider network-assisted D2D communications where the network helps the devices to perform peer discovery, radio resource management, and resolve security issues [1], [3]. Therefore, all UEs have the same priority in the network regardless of their mode of operation (i.e., cellular or D2D mode).…”

Section: Introductionmentioning

confidence: 99%

Closed-form optimality characterization of network-assisted device-to-device communications

Shalmashi

Björnson

Slimane

et al. 2014

2014 IEEE Wireless Communications and Networking Conference (WCNC)

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International audience—This paper considers the mode selection problem for network-assisted device-to-device (D2D) communications with multiple antennas at the base station. We study transmission in both dedicated and shared frequency bands. Given the type of resources (i.e., dedicated or shared), the user equipment (UE) decides to transmit in the conventional cellular mode or directly to its corresponding receiver in the D2D mode. We formulate this problem under two different objectives. The first problem is to maximize the quality-of-service (QoS) given a transmit power, and the second problem is to minimize the transmit power given a QoS requirement. We derive closed-form results for the optimal decision and show that the two problem formulations behave differently. Taking a geometrical approach, we study the area around the transmitter UE where the receiving UE should be to have D2D mode optimality, and how it is affected by the transmit power, QoS, and the number of base station antennas. I. INTRODUCTION Emerging multimedia services and applications introduce new traffic types and user behaviors [1]. To address the higher demands imposed on wireless networks, more spectrally effi-cient and energy efficient approaches should be developed. Device-to-device (D2D) communication underlaying cellular networks is proposed to improve cell spectral and energy efficiency of the network [2], [3]. In D2D transmission mode, user equipments (UEs) communicate directly to their intended receivers as opposed to the conventional cellular mode where they communicate through the base station (BS). D2D mode can bring proximity gains and reduce the transmission time. Users in the D2D mode can transmit either in a separate frequency band or via spectrum sharing with cellular users. In the former case, D2D communications do not interfere with cellular users. This case is interesting due to its potential applications, such as public safety and multicasting for local multimedia services and robustness to infrastructure failure. On the other hand, spectrum sharing can be employed to efficiently utilize the resources which allows for better area spectral efficiency [4]. The gain from spectrum sharing can be assured if the interference is controlled by proper mode selection and resource management. However, depending on the network topology and channel conditions, it may not always be beneficial to choose the D2D mode for a UE

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Design aspects of network assisted device-to-device communications

Cited by 1,208 publications

References 10 publications

Ad Hoc LTE Method for Resilient Smart Grid Communications

Ad Hoc LTE Method for Resilient Smart Grid Communications

SC-FDMA-based resource allocation and power control scheme for D2D communication using LTE-A uplink resource

Closed-form optimality characterization of network-assisted device-to-device communications

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