Optimal Resource Allocation for Multi-D2D Links Underlying OFDMA-Based Communications

Peng, Bo; Hu, Chunjing; Peng, Tao; Wang, Wenbo

doi:10.1109/wicom.2012.6478598

Cited by 26 publications

(25 citation statements)

References 7 publications

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“…The authors propose that D2D users can use the worst channel to enhance spectral efficiency. Peng et al propose a suboptimal resource allocation scheme for multiple D2D links underlying orthogonal frequency division multiple access‐based cellular networks, with an objective to maximize the sum rate of the network. Zhang et al use graph theory for mitigation of interference among D2D and cellular users, and they suggest to share uplink resource among D2D and cellular users.…”

Section: Literature Reviewmentioning

confidence: 99%

Device‐centric communication in IoT: An energy efficiency perspective

Ahmad

Ali

Naeem

et al. 2019

Trans Emerging Tel Tech

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Emerging device‐centric communication technologies such as device‐to‐device (D2D) communication, devices‐to‐device (Ds2D) communication, and multi‐homing (MH) D2D have been considered as essential parts of future fifth‐generation networks as well as Internet of Things (IoT). The device‐centric communication offers enhanced cellular data rates, high spectral efficiency, reduced latency, improved fairness, better energy efficiency, and extended coverage; however, the battery life of end devices is crucial to fully reap the benefits of this technology. In this article, a new method for device‐centric communication in IoT system is introduced, where multiple source IoT devices (SIDs) can send data to multiple destination IoT devices (DIDs) using multiple radio resource blocks. This method is called devices‐to‐devices (Ds2Ds) communication. The objective is to select the optimal SIDs, DIDs, and radio resource blocks such that the total energy efficiency for all DIDs is maximized. A tree search algorithm is proposed to select the optimal SIDs, DIDs, and radio resource blocks. Extensive simulations have been carried out to compare energy efficiency per SID/DID for Ds2Ds, Ds2D, and MH‐D2D. The simulation results show the superiority of Ds2Ds over Ds2D in terms of energy efficiency, which, in turn, implies better throughput. Furthermore, Ds2Ds is superior to MH‐D2D in terms of energy consumption per source device, a very good and promising requirement for green communication.

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Section: Literature Reviewmentioning

confidence: 99%

Device‐centric communication in IoT: An energy efficiency perspective

Ahmad

Ali

Naeem

et al. 2019

Trans Emerging Tel Tech

View full text Add to dashboard Cite

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“…Two studies considering joint allocation of radio resources and power control in order to guarantee the QoS of the CUEs are presented in [76] [77]. In [76] authors propose an optimal resource and power allocation algorithm.…”

Section: A Mitigation Of Interference From D2d To Cellular Communicamentioning

confidence: 99%

“…In [76] authors propose an optimal resource and power allocation algorithm. Although the DUEs reuse the resources already allocated to the CUEs, the CUEs should not be affected significantly by the D2D transmissions.…”

Section: A Mitigation Of Interference From D2d To Cellular Communicamentioning

confidence: 99%

In-Band Device-to-Device Communication in OFDMA Cellular Networks: A Survey and Challenges

Mach

Bečvář

Vaněk

2015

IEEE Commun. Surv. Tutorials

294

135

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Direct communication between two or more devices without the intervention of a base station, known as device-todevice (D2D) communication, is a promising way to improve performance of cellular networks in terms of spectral and energy efficiency. The D2D communication paradigm has been largely exploited in non-cellular technologies such as Bluetooth or Wi-Fi but it has not yet been fully incorporated into existing cellular networks. In this regard, a new proposal focusing on the integration of D2D communication into LTE-A has been recently approved by the 3GPP standardization community as discussed in this paper. In cellular networks, D2D communication introduces several critical issues, such as interference management and decisions on whether devices should communicate directly or not. In this survey, we provide a thorough overview of the state of the art focusing on D2D communication, especially within 3GPP LTE/LTE-A. First, we provide in-depth classification of papers looking at D2D from several perspectives. Then, papers addressing all major problems and areas related to D2D are presented and approaches proposed in the papers are compared according to selected criteria. On the basis of the surveyed papers, we highlight areas not satisfactorily addressed so far and outline major challenges for future work regarding efficient integration of D2D in cellular networks.Index Terms-D2D communication, D2D mode selection, interference management, D2D energy efficiency, advanced topology for D2D1553-877X (c) Fig. 2. Classification of D2D communication in cellular networks.tion underlying LTE-A network and shown how the D2D communication can be established within a system architecture evolution (SAE). The study introduces an exchange of messages to support the D2D functionality within the SAE and contemplates the possible limits of the D2D concerning interference issues both in the downlink (DL) and the uplink (UL) transmission directions. The paper also presents feasibility analysis evaluating performance of network with enabled D2D communication. Functional prospects of the D2D communication and its implementation into LTE-A system are tackled in [29]. The paper describes new features necessary to be added into the SAE architecture in order to support the D2D communication: radio identification and bearer setup, means to exchange the information over a D2D connection and interference management, link adaptation, timing, and mobility issues. Design aspects of network assisted D2D communication is addressed in [30]. The paper firstly provides a brief overview on technical challenges posed by enabling of D2D concept in cellular networks and provides the solutions for individual challenges.An option of architectural modification in LTE-A networks for D2D is also proposed in [31]. The authors introduce new network entity, called a D2D server (in Fig. 1, this server is not depicted to keep clarity of the figure), and necessary interfaces to connect it to the existing LTE-A architecture. The D2D server is located within the E...

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“…Based on the above definitions, we obtain the OSRA algorithm to solve the optimization problem (3), which is given in Algorithm 1. Different from the conventional D2D resource allocation scheme [7], [8], our proposed socialaware scheme needs to first collect and analysis the social community information and communication demands. These important information are then fully considered in the resource allocation.…”

Section: Definition 2 (Settled and Locked) We Call A D2d Pair D C Imentioning

confidence: 99%

“…Existing methods for resource allocation include enabling D2D pairs to join or leave a coalition based on the well-defined preferences [4], modeling the allocation mechanism as a reverse iterative combinatorial auction [5], and using the social centrality to assist peer discovery [6]. Problems related with the resource allocation in communities with unstable D2D conditions, i.e., some D2D pairs may not be able to use the resources of other cellular users, however, have not been considered [7], [8].…”

Section: Introductionmentioning

confidence: 99%

Social-Aware Resource Allocation for Device-to-Device Communications Underlaying Cellular Networks

Chen

2015

IEEE Wireless Commun. Lett.

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Device-to-device (D2D) communication is a vital component for the next generation cellular network to bring hop gains, improve spectral reuse, and enhance system capacity. These benefits depend on efficiently solving several technical problems, among which resource allocation that shares spectrum resources between cellular users and D2D pairs is critically challenging. We propose a social-aware D2D resource sharing scheme that exploits social network properties of community and centrality for the new system design paradigm. Extensive simulations with realistic network settings demonstrate the effectiveness of our proposed scheme, which significantly improves the system performance compared to the existing schemes.

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Optimal Resource Allocation for Multi-D2D Links Underlying OFDMA-Based Communications

Cited by 26 publications

References 7 publications

Device‐centric communication in IoT: An energy efficiency perspective

Device‐centric communication in IoT: An energy efficiency perspective

In-Band Device-to-Device Communication in OFDMA Cellular Networks: A Survey and Challenges

Social-Aware Resource Allocation for Device-to-Device Communications Underlaying Cellular Networks

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