MIMO Cooperation Schemes for Uplink of Future Railway Communication Systems

Amis, Karine; Galezowski, Thomas; Lagrange, Xavier

doi:10.1109/pimrc48278.2020.9217233

Cited by 2 publications

(3 citation statements)

References 9 publications

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“…This has led to the emergence of significant industrial and scientific projects by researchers and engineers worldwide to accomplish augmentation in ITS [ 2 ]. In the current era of IoT, every vehicle that has access to the Internet can share data within the network is referred to as an IOV, which enables smart city functionalities [ 3 ]. The IOV heterogeneous framework has enormous potential, and capability, and is now peering over the horizon to supervise and steer vehicles for an abundance of applications [ 4 ].…”

Section: Introductionmentioning

confidence: 99%

Enhancing network stability in VANETs using nature inspired algorithm for intelligent transportation system

Yerrathi,

Pakala

2024

PLoS ONE

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The Internet of Vehicles (IoV) is one of the developing paradigms that integrates the automotive industry with the Internet of Things (IoT). The evolution of traditional Vehicular Ad-hoc Networks (VANETs), which are a layered framework for Intelligent Transportation Systems (ITS), is employed to provide Quality of Service (QoS) to end users in hazardous situations. VANETs can set up ad-hoc networks and share information among themselves using Peer-to-Peer (P2P) communication. Dynamic properties in VANETs such as dynamic topology, node mobility, sparse vehicle distribution, and bandwidth constraints can have an impact on scalability, routing, and security. This can result in frequent link failures, instability, reliability, and QOS concerns, as well as the inherent complexity of NP-hard problems. Researchers have proposed several techniques to achieve stability; the most prominent one is clustering, which relies on mobility metrics. However, existing clustering techniques generate overwhelming clusters, resulting in greater resource consumption, communication overhead, and hop count, which may lead to increased latency. Therefore, the primary objective is to achieve stability by increasing cluster lifetime, which is accomplished by generating optimal clusters. A nature-inspired meta-heuristic algorithm titled African Vulture Optimization Based Clustering Algorithm (AVOCA) is implemented to achieve it. The proposed algorithm can achieve load optimization with efficient resource utilization by mitigating hidden node challenges and ensuring communication proficiency. By maintaining an equilibrium state between the exploration and exploitation phases, AVOCA avoids local optima. The paper explores a taxonomy of the techniques used in Cluster Head (CH) selection, coordination, and maintenance to achieve stability with lower communication costs. We evaluated the effectiveness of AVOCA using various network grid sizes, transmission ranges, and network nodes. The results show that AVOCA generates 40% less clusters when compared to the Clustering Algorithm Based on Moth-Flame Optimization for VANETs (CAMONET). AVOCA generates 45% less clusters when compared to Self-Adaptive Multi-Kernel Clustering for Urban VANETs (SAMNET), AVOCA generates 43% less clusters when compared to Intelligent Whale Optimization Algorithm (i-WOA) and AVOCA generates 38% less clusters when compared to Harris Hawks Optimization (HHO). The results show that AVOCA outperforms state-of-the-art algorithms in generating optimal clusters.

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Section: Introductionmentioning

confidence: 99%

Enhancing network stability in VANETs using nature inspired algorithm for intelligent transportation system

Yerrathi,

Pakala

2024

PLoS ONE

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“…Onboard mobile relays is an attractive solution which was investigated and tested [1], [2]. In the perspective of the future Grand Paris Express deployment [3], Société du Grand Paris is interested in developing such technologies [2], [4].…”

Section: Introductionmentioning

confidence: 99%

“…The application of recent cellular standards (long-term evolution (LTE) or even 5G-new radio (5G-NR) [5]) to future railway communication networks defines linear cells, delimited each by two remote radio heads (RRH) that are connected to the same baseband unit pool (BBU). Cooperation between both RRH for transmission and reception is thus possible and macrodiversity [4], [6] is particularly efficient to avoid disastrous degradation of the throughput as the train moves along the section. In this paper, we focus on the downlink and we consider the case when two trains pass each other.…”

Section: Introductionmentioning

confidence: 99%

Dark Blind Interference Alignment for Downlink of Future Railway Communication Systems

Amis

Galezowski

Lagrange

2021

2021 IEEE 32nd Annual International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC)

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In this paper, we investigate downlink interference management schemes for future railway communications that avoid channel state information (CSI) knowledge at the transmitter side. Assuming reconfigurable antennas at both ends of each train, we apply the dark-blind interference alignment principle. Simulations show that compared to considered orthogonal multiple access techniques, the proposed scheme achieves an efficient trade-off between maximum achievable throughput and error rate.

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MIMO Cooperation Schemes for Uplink of Future Railway Communication Systems

Cited by 2 publications

References 9 publications

Enhancing network stability in VANETs using nature inspired algorithm for intelligent transportation system

Enhancing network stability in VANETs using nature inspired algorithm for intelligent transportation system

Dark Blind Interference Alignment for Downlink of Future Railway Communication Systems

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