Distributed Mode and Power Selection for Non-Orthogonal D2D Communications: A Stochastic Approach

Librino, Federico; Quer, Giorgio

doi:10.1109/tccn.2018.2809721

Cited by 14 publications

(6 citation statements)

References 23 publications

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“…In [ 24 ], the proposed scheme is only validated using a single cell with different radii. State-of-art-researchers proposed another smart mode and power selection-based distribution approach in [ 25 ], in which real-time information of local traffic channels and surrounding node information is used. Here, dynamic switching is adopted to control interference; otherwise, communication continues using the cellular mode.…”

Section: Related Workmentioning

confidence: 99%

A Dynamic Algorithm for Interference Management in D2D-Enabled Heterogeneous Cellular Networks: Modeling and Analysis

Kamruzzaman

Sarkar

Gutiérrez

2022

Sensors

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To supporting a wider and diverse range of applications, device-to-device (D2D) communication is a key enabler in heterogeneous cellular networks (HetCNets). It plays an important role in fulfilling the performance and quality of service (QoS) requirements for 5G networks and beyond. D2D-enabled cellular networks enable user equipment (UE) to communicate directly, without any or with a partial association with base stations (eNBs). Interference management is one of the critical and complex issues in D2D-enabled HetCNets. Despite the wide adoption of D2D communications, there are very few researchers addressing the problems of mode selection (MS), as well as resource allocation for mutual interference in three-tier cellular networks. In this paper, we first identify and analyze three key factors, namely outage probability, signal-to-interference and noise ratio (SINR), and cell density that influence the performance of D2D-enabled HetCNets. We then propose a dynamic algorithm based on a distance-based approach to minimize the interference and to guarantee QoS for both cellular and D2D communication links. Results obtained show that outage probability is improved by 35% and 49% in eNB and SCeNB links, respectively, when compared with traditional neighbor-based methods. The findings reported in this paper provide some insights into interference management in D2D communications that can help network researchers and engineers contribute to further developing next-generation cellular networks.

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Section: Related Workmentioning

confidence: 99%

A Dynamic Algorithm for Interference Management in D2D-Enabled Heterogeneous Cellular Networks: Modeling and Analysis

Kamruzzaman

Sarkar

Gutiérrez

2022

Sensors

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“…Like [11], their proposed scheme is only validated in a single cell but different radius. By using the real-time information of local traffic channel and surrounding nodes, a distributed approach for a smart mode and power selection is proposed in [13]. Here dynamic switching is adopted between D2D transmissions, when the interference is limited otherwise continue the communication using cellular mode.…”

Section: Related Workmentioning

confidence: 99%

A Mode Selection Algorithm for Mitigating Interference in D2D Enabled Next-Generation Heterogeneous Cellular Networks

Kamruzzaman

Sarkar

Gutiérrez

et al. 2019

2019 International Conference on Information Networking (ICOIN)

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Device-to-Device (D2D) communication is becoming more popular research topic among the network researchers and engineers across the globe This popularity is due to various key applications of D2D communications including 4G LTE-A envisioning the continuous evolution of current cellular networks into 5G to support a much larger and diverse range of applications. D2D communications play an important role to fulfill the quality of service (QoS) requirements for 5G networks. However, to realize the performance gain of D2D communications, various open challenges need to be resolved including mode selection (MS). This paper, therefore proposes a new mode selection algorithm for D2D enabled heterogeneous 5G cellular network. By quantifying the key parameters we mitigate interference that affect the system performance, and finally proposed an algorithm for optimal selection of transmission mode in a heterogeneous cellular network. The findings reported in this paper provide some insights into the design of 5G networks that may help network designer and engineers to contribute further towards the development of next generation wireless networks.

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“…UAV‐assisted D2D network in underlay mode using large scale fading is discussed in [16]. Cellular based D2D network in semi‐autonomous mode using Rayleigh fading is discussed in [17]. In [18] an autonomous mode selection scheme for underlay D2D communication using Rayleigh fading is discussed.…”

Section: Introductionmentioning

confidence: 99%

Drone assisted device to device cooperative communication for critical environments

2021

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This paper proposes drone assisted device-to-device cooperative communication (DA-DDCC) for critical situations during post-disaster management. The proposed network utilizes the autonomous mode of D2D communication for setting up the link in the absence of a central node. This network incorporates cooperative communication using drone in D2D session for improving reliability of the overall system. A probability-based statistical channel model for such networks is proposed by taking the statistical independence of links into consideration. Unlike the existing air-to-ground (A2G) channel models that use either Rayleigh or Rician distribution for uplink (UL) and downlink (DL) channel modelling, our approach takes the probability of occurrence of line of sight (LoS) into account while predicting the appropriate channel distribution for UL and DL separately. For performance evaluation of the proposed network, average outage probability and average capacity are derived using the proposed channel model. Monte Carlo simulations are conducted to verify our analysis. Moreover, a multi-cluster DA-DDCC scenario is also being analyzed through simulations from an interference perspective to justify the usefulness of the proposed channel model. Results obtained through this investigation can be utilized in selecting various crucial system parameters judiciously for enhanced performance during post-disaster scenario. 1 INTRODUCTION In recent years, fifth-generation (5G) and beyond 5G (B5G) technologies are being developed to increase the data rates and network capacity for conventional cellular networks. Multiple input multiple output (MIMO) and network traffic offloading techniques are used for achieving such objectives [1-3]. Equipping multiple antennas needs more hardware, cost, and size. Consequently, these methods are not preferred for most of the battery operated tiny devices. To enhance the cellular network performance, traffic offloading techniques are also used in literature. Traffic offloading may be achieved mainly by two methods, one is through small cell (micro/pico/femto) deployment in macro-cells and the other is using device-to-device (D2D) communications [4]. However, the first method may be inconvenient due to a lack of dynamism that occurs because of This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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Distributed Mode and Power Selection for Non-Orthogonal D2D Communications: A Stochastic Approach

Cited by 14 publications

References 23 publications

A Dynamic Algorithm for Interference Management in D2D-Enabled Heterogeneous Cellular Networks: Modeling and Analysis

A Dynamic Algorithm for Interference Management in D2D-Enabled Heterogeneous Cellular Networks: Modeling and Analysis

A Mode Selection Algorithm for Mitigating Interference in D2D Enabled Next-Generation Heterogeneous Cellular Networks

Drone assisted device to device cooperative communication for critical environments

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