Implementation of relay hopper model for reliable communication of IoT devices in LTE environment through D2D link

Pradhan, Anish; Basu, Soumi; Sarkar, Sreetama; Mitra, S. K.; Roy, Sanjay Dhar

doi:10.1109/comsnets.2018.8328275

Cited by 10 publications

(4 citation statements)

References 6 publications

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“…D2D communications are widely used to relay information and improve local/overall performance by offloading traffic to other devices in the network, extending system coverage, mitigating wireless fading through improving the capture effect and exploiting spatial diversity. Also, reducing transmit power allows us to lower the impact of cross-interference, which helps to improve the network performance, enhance the QoS (improved throughput, reduced latency, and increased reliability) [13][14][15]. In latter researches, and in most of D2D published papers, a great attention is given to the performance enhancement of other technologies by introducing D2D communication (e.g., IoT [13] and Massive MIMO Systems [15]).…”

Section: Related Workmentioning

confidence: 99%

“…Also, reducing transmit power allows us to lower the impact of cross-interference, which helps to improve the network performance, enhance the QoS (improved throughput, reduced latency, and increased reliability) [13][14][15]. In latter researches, and in most of D2D published papers, a great attention is given to the performance enhancement of other technologies by introducing D2D communication (e.g., IoT [13] and Massive MIMO Systems [15]). In our article, we discuss the importance of strategically selecting the best RAN (i.e., either cellular or D2D) according to the network status, in a way to improve the devices experienced QoS.…”

Section: Related Workmentioning

confidence: 99%

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D2D Mobile Relaying Meets NOMA—Part I: A Biform Game Analysis

Driouech

Sabir

Ghogho

et al. 2021

Sensors

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Structureless communications such as Device-to-Device (D2D) relaying are undeniably of paramount importance to improving the performance of today’s mobile networks. Such a communication paradigm requires implementing a certain level of intelligence at device level, allowing to interact with the environment and select proper decisions. However, decentralizing decision making sometimes may induce some paradoxical outcomes resulting, therefore, in a performance drop, which sustains the design of self-organizing, yet efficient systems. Here, each device decides either to directly connect to the eNodeB or get access via another device through a D2D link. Given the set of active devices and the channel model, we derive the outage probability for both cellular link and D2D link, and compute the system throughput. We capture the device behavior using a biform game perspective. In the first part of this article, we analyze the pure and mixed Nash equilibria of the induced game where each device seeks to maximize its own throughput. Our framework allows us to analyse and predict the system’s performance. The second part of this article is devoted to implement two Reinforcement Learning (RL) algorithms enabling devices to self-organize themselves and learn their equilibrium pure/mixed strategies, in a fully distributed fashion. Simulation results show that offloading the network by means of D2D-relaying improves per device throughput. Moreover, detailed analysis on how the network parameters affect the global performance is provided.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

D2D Mobile Relaying Meets NOMA—Part I: A Biform Game Analysis

Driouech

Sabir

Ghogho

et al. 2021

Sensors

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“…In the following, we shed the light on the research efforts in the literature that investigated resources sharing in D2D networks from different perspectives, various performance metrics, and different applications [1], [4], [6], [10]- [13], [19]- [21], [23], [29]- [32]. A single cell with one UE and one D2D pair is considered in [10], where the eNB performs optimal mode selection to maximize the sumthroughput under power and rate constraints.…”

Section: Notationsmentioning

confidence: 99%

Resources Allocation in Underlay Device-to-Device Communications Networks: A Reduced-Constraints Approach

et al. 2020

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Device-to-Device (D2D) communications underlaying cellular networks have emerged as a necessity for a substantial increase in the system throughput and the number of active devices for the future cellular networks. In underlay D2D networks, it is conventional to use different interference management (IM) techniques to allow D2D transmitters to reuse the cellular users' subcarriers. Conventionally, those IM techniques pair a specific number (one or more) of D2D transmitters to each subcarrier and/or allow each D2D transmitter to transmit on a specific number of subcarriers simultaneously in order to achieve the target rates. Due to the mixed-integer nature of those IM techniques, convex optimization techniques can not be used, and usually complex heuristic or game-theoretic approaches are exploited. In this paper, we introduce a reduced-constraints approach to seek sub-optimal joint power allocation and channel assignment solutions for two non-convex, mixed-integer, and non-linear programs (MINLP). Specifically, via the reduced-constraints approach and variable transformation techniques, we can exploit primal-dual algorithms to solve system power minimization and energy-efficiency maximization problems. Extensive numerical simulation results show that the proposed approach outperforms state-of-the-art techniques.

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“…In [14] the authors propose to combine M2M with D2D to benefit from low transmit power and then to enable efficient resource sharing. Moreover, in [15], D2D communications between IoT devices has been studied focusing on providing connectivity to the maximum number of IoT devices. To improve reliability of high-rate millimeter-wave (mmWave) data connections, D2D-enabled collaborative caching at the wireless edge was shown to constitute a promising solution for augmenting system-level performance and improving data acquisition reliability [16].…”

Section: Introductionmentioning

confidence: 99%

D2D Mobile Relaying for Efficient Throughput-Reliability Delivering in 5G

Driouech

Sabir

Bennis

2020

ICC 2020 - 2020 IEEE International Conference on Communications (ICC)

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Ensuring high reliability is one of the major goals of 5G systems. This work investigates the problem of cooperative relaying and the optimal number of devices to be directly connected to the base station, in order to meet best uplink performance in terms of throughput and reliability. We first propose a D2D-relaying system where devices cooperate forming groups of cellular devices serving as relays to other groups of D2D transmitters. Second we adopt a Markov chain framework, where the states are defined as the numbers of D2D-relays present in the network. Based on that, we derive the average network throughput and reliability. Next, we show that there exists an optimal device distribution, that maximizes the overall reliability and throughput. This number is strongly related to the switching probabilities of the devices and the network parameters such as the orthogonality factor, the cooperation level of D2D-transmitter, the network density and the cluster's radius. Simulation results illustrate the optimal switching probabilities and the average number of D2Drelays that maximize the overall throughput and reliability.

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Implementation of relay hopper model for reliable communication of IoT devices in LTE environment through D2D link

Cited by 10 publications

References 6 publications

D2D Mobile Relaying Meets NOMA—Part I: A Biform Game Analysis

D2D Mobile Relaying Meets NOMA—Part I: A Biform Game Analysis

Resources Allocation in Underlay Device-to-Device Communications Networks: A Reduced-Constraints Approach

D2D Mobile Relaying for Efficient Throughput-Reliability Delivering in 5G

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