Outage probability of device‐to‐device communication assisted by one‐way amplify‐and‐forward relaying

Ni, Yiyang; Wang, Xiaoyu; Jin, Shi; Wong, Kai-Kit; Zhu, Hongbo; Zhang, Naitong

doi:10.1049/iet-com.2014.0686

Cited by 21 publications

(15 citation statements)

References 41 publications

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“…[8][9][10][11][12][13] In the previous investigations, the nonexact equations in 2 scenarios, reuse of 1 radio resource 14 and reuse of 2 radio resources based on NOMA approach 11 are presented. Furthermore, some research in the D2D communications focused on optimal resource allocation of cellular users to minimize the outage probability.…”

Section: Discussionmentioning

confidence: 99%

Analysis of outage probability for in‐band device‐to‐device communications underlaying cellular network

Ghavami

Moghaddam

2017

Int J Communication

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One of the key strategies for jointly increasing throughput and optimum resource allocation in 5G is device-to-device (D2D) communications, which can be obtained by minimizing the outage probability considered as an objective function of optimization problem. To minimize this objective function, we found that outage probability should be modeled by jointly considering the effect of interference, noise, and multipath phenomena. In this paper, the exact formulas for outage probability of in-band D2D communications underlying cellular network are proposed. In the proposed model, additive white Gaussian noise and Rayleigh multipath fading are considered into 2 radio resource reuse scenarios. In the first scenario, each D2D pair is allowed to reuse radio resource block of one cellular user, whereas in the second scenario, 2 resources of 2 cellular users can be reused. The proposed formulas are compared to the approximate (nonexact) ones, which models additive white Gaussian noise by a constant variance. The numerical analysis for the first and second scenarios show that the approximate formulas and respected exact ones are in accordance with simulation results in MATLAB. Moreover, based on nonorthogonal multiple access approach, 2 approximations for the nonexact and the proposed formulas are extracted, which are acceptable for multiple resource reuse scenario. As a remarkable result, simulation results show that when the distance of the D2D pair from the respected cellular user is more than 71 m (2 times greater than average distance between the D2D nodes), multiple-reuse scenarios offer higher throughput compared to 1-reuse scenario in an acceptable outage probability.KEYWORDS device to device communications, multiple access, nonorthogonal, outage probability, underlaying

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Section: Discussionmentioning

confidence: 99%

Analysis of outage probability for in‐band device‐to‐device communications underlaying cellular network

Ghavami

Moghaddam

2017

Int J Communication

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“…In this model, a relay node is one of the idle CUs. The SINR at the first and second hops of a relay‐aided D2D communications are as follows:

{SINR}_{italichop 1} = \frac{P_{i} {|h_{r_{i}}|}^{2}}{P_{ij} {|h_{c_{j}}|}^{2} + {|n_{0}|}^{2}},

{SINR}_{italichop 2} = \frac{P_{i}^{'} {|h_{r_{i}}|}^{2}}{P_{ij}^{'} {|h_{c_{j}}|}^{2} + {|n_{0}|}^{2}} .

…”

Section: System Modelmentioning

confidence: 99%

“…For large distances between transmit and receive nodes of a D2D pair, direct mode, which is investigated in References is not the best one and relay‐aided D2D communication is the dominant mode . Amplify‐and‐forward (AF) and decode‐and‐forward (DF) strategies are more popular relay‐aided scenarios . In AF, the relay simply amplifies the signal received from the transmit node of a D2D pair and sends it to the receive node; whereas in DF, the relay decodes the received signal, re‐encodes it, and then sends it to the D2D receiver …”

Section: Introductionmentioning

confidence: 99%

“…Literature survey shows outage probability analysis for special cases of relay‐aided D2D communications underlaying/overlaying cellular network. In Reference , an approximate outage probability formula for AF relay system was obtained in high signal‐to‐noise ratio (SNR) scenarios with no interference, which is the same as overlay D2D communications. In Reference , an exact outage probability expression for DF cognitive dual‐hop system in Nakagami‐m fading channel was derived.…”

Section: Introductionmentioning

confidence: 99%

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Outage analysis of nonorthogonal in‐band relay‐aided device‐to‐device communications in Rayleigh fading channels

Moghaddam

2017

Internet Technology Letters

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Minimizing the outage probability and/or maximizing the throughput, optimally realize relay‐aided nonorthogonal in‐band (NO‐IB) device‐to‐device (D2D) communications. In this letter, we derive closed‐form expressions for the outage probability of NO‐IB amplify‐and‐forward (AF) and decode‐and‐forward (DF) relay‐aided D2D communications in Rayleigh fading channels. Numerical analyses show that the closed‐form formulas are in close agreement with the simulation results. Furthermore, we investigate the effect of signal‐to‐noise ratio and the distances between D2D pairs and relay nodes as well as cellular users. First results show that in the low‐noise regime, AF outperforms DF while they perform very close in the moderate noise level and DF outperforms AF in the high‐noise power. Second, we indicate that the relay‐aided AF/DF D2D communications is more reliable than the direct one when the TX/RX nodes of a D2D pair is distant approximately more than half of the cell radius.

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“…Since the cellular base station is involved in setting up the D2D communication sessions, it can control and lower inference to the cellular communication network. This scenario can be regarded as network assisted D2D communications [19], [20].…”

Section: Device-to-device (D2d) Networkmentioning

confidence: 99%

Architecture Considerations for Big Data Management

Meerja¹,

Mellouli²

2016

ijacsa

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Abstract-A network architecture is concerned with holistic view of interconnection of different nodes with each other. This refers to both physical and logical ways of interconnection of all nodes in the network. The way in which they are connected influences the strategies adopted for Big Data Management. In this present day of Internet of Things (IoT), each kind of device is required and made possible for communicating with other completely different kinds of devices. The heterogeneous nature of devices in the network needs a completely new architecture to efficiently handle Big Data which is generated continually, either for providing services to end users or for study and analysis in a research process. It is thus very essential to visit various kinds of devices that are available on the Internet, their characteristics and requirements, how they communicate and process data, and eventually how the human society embraces the Big Data generation for their daily consumption. This paper is dedicated to bringing all theses aspects together in one place, bringing different technologies into one single network architecture.

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Outage probability of device‐to‐device communication assisted by one‐way amplify‐and‐forward relaying

Cited by 21 publications

References 41 publications

Analysis of outage probability for in‐band device‐to‐device communications underlaying cellular network

Analysis of outage probability for in‐band device‐to‐device communications underlaying cellular network

Outage analysis of nonorthogonal in‐band relay‐aided device‐to‐device communications in Rayleigh fading channels

Architecture Considerations for Big Data Management

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