Group mobility by cooperative communication for high speed railway

Munjal, Meenakshi; Singh, Niharika

doi:10.1007/s11276-018-01923-2

Cited by 12 publications

(5 citation statements)

References 31 publications

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“…Since each flow can only select one transmission mode in each frame, it is necessary to constrain the sum of a t f (i,vij ,j) and b t f (i,j) to be 1, as shown in constraint (15).…”

Section: Problem Formulationmentioning

confidence: 99%

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Robust Train-to-Train Transmission Scheduling in mmWave Band for High Speed Train Communication Systems

Niu

Mao

et al. 2023

IEEE Trans. Veh. Technol.

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Demands for data traffic in high-speed railway (HSR) has increased drastically. The increasing entertainment needs of passengers, safety control information exchanges of trains, etc., make train-to-train (T2T) communications face the challenge of achieving high-capacity and high-quality data transmissions. In order to greatly increase the communication capacity, it is urgent to introduce millimeter wave (mmWave) technology. Faced with the problem that mmWave link is easy to be blocked, this paper leverages the existing equipment to assist relay, and proposes an effective transmission scheduling scheme to improve the robustness of T2T communication systems. First of all, we formulate a mixed integer nonlinear programming (MINLP) optimization problem the transmission scheduling in T2T communication systems where mobile relays (MRs) are all working in the full-duplex (FD) mode. Then we propose a low complexity heuristic algorithm to solve the optimization problem, which consists of three components: relay selection, transmission mode selection, and transmission scheduling. The simulation results show that the proposed algorithm can greatly improve the number of completed flows and system throughput. Finally, we analyze the influence of different design parameters on the system performance. The results show that the proposed algorithm can achieve more data flows and system throughput within a reasonable communication distance threshold in T2T communication with obstacles in different orbits. It can balance the computational complexity and system performance to achieve an efficient and robust data transmission.

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“…Since each flow can only select one transmission mode in each frame, it is necessary to constrain the sum of a t f (i,vij ,j) and b t f (i,j) to be 1, as shown in constraint (15).…”

Section: Problem Formulationmentioning

confidence: 99%

“…It is proposed to use suitable MRs to relay the blocked links. The cooperative communication with distributed MRs will significantly reduce the link outage probability [15]. Thus, reliable and high-quality communication links are provided to ensure the robust transmission of T2T communication systems.…”

Section: Introductionmentioning

confidence: 99%

Robust Train-to-Train Transmission Scheduling in mmWave Band for High Speed Train Communication Systems

Niu

Mao

et al. 2023

IEEE Trans. Veh. Technol.

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“…Lei et al [127] formulated the mobility model of the HST system as a semi-Markov process. The work [128] addressed the challenging task of frequent handover for each communicating user, due to the high mobility of the train.…”

Section: Ship Mobility Modelmentioning

confidence: 99%

Mobility Support for Millimeter Wave Communications: Opportunities and Challenges

Li¹,

Niu²,

Wu³

et al. 2022

Preprint

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Millimeter-wave (mmWave) communication technology offers a potential and promising solution to support 5G and B5G wireless networks in dynamic scenarios and applications. However, mobility introduces many challenges as well as opportunities to mmWave applications. To address these problems, we conduct a survey of the opportunities and technologies to support mmWave communications in mobile scenarios. Firstly, we summarize the mobile scenarios where mmWave communications are exploited, including indoor wireless local area network (WLAN) or wireless personal area network (WPAN), cellular access, vehicle-to-everything (V2X), high speed train (HST), unmanned aerial vehicle (UAV), and the new space-airground-sea communication scenarios. Then, to address users' mobility impact on the system performance in different application scenarios, we introduce several representative mobility models in mmWave systems, including human mobility, vehicular mobility, high speed train mobility and ship mobility. Next we survey the key challenges and existing solutions to mmWave applications, such as channel modeling, channel estimation, antiblockage, and capacity improvement. Lastly, we discuss the open issues concerning mobility-aware mmWave communications that deserve further investigation. In particular, we highlight future heterogeneous mobile networks, dynamic resource management, artificial intelligence (AI) for mobility and integration of geographical information, deployment of large intelligent surface and reconfigurable antenna technology, and finally, the evolution to Terahertz (THz) communications.

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“…10 [86]. HOF rates, HO probability, outage probability and HO latencies can be reduced using group HO [92], [93], and collective channel state information can be received from users [94]. Multiple antennas in a linear array can also be installed for high-speed trains [95].…”

Section: B Handover Management In High-speed Scenariosmentioning

confidence: 99%

A Survey on Handover Management: From LTE to NR

2019

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To satisfy the high data demands in future cellular networks, an ultra-densification approach is introduced to shrink the coverage of base station (BS) and improve the frequency reuse. The gain in capacity is expected but at the expense of increased interference, frequent handovers (HOs), increased HO failure (HOF) rates, increased HO delays, increase in ping pong rate, high energy consumption, increased overheads due to frequent HO, high packet losses and bad user experience mostly in high-speed user equipment (UE) scenarios. This paper presents the general concepts of radio access mobility in cellular networks with possible challenges and current research focus. In this article, we provide an overview of HO management in longterm evolution (LTE) and 5G new radio (NR) to highlight the main differences in basic HO scenarios. A detailed literature survey on radio access mobility in LTE, heterogeneous networks (HetNets) and NR is provided. In addition, this paper suggests HO management challenges and enhancing techniques with a discussion on the key points that need to be considered in formulating an efficient HO scheme. INDEX TERMS Radio access mobility, cell selection, handover, LTE, 5G, NR, mobility enhancers. Ph.D. degree in electrical engineering with Aalto University, Finland. He has more than two years, from 2013 to 2015, of professional experience as an RF Planning and Optimization Executive at Wi-Tribe Pakistan Ltd. (Ooredoo Group). During his stay at KFUPM, he was associated with the King Abdullah University of Science and Technology (KAUST), Saudi Arabia, as a Visiting Student and a KFUPM-KAUST Joint Research Initiative. He has been a Researcher with the Helsinki Research Center, Huawei Technologies Finland Oy, since February 2018. His current research interest includes energy-efficient mobility for small-cell overlaid cellular networks. He received the Gold Medal Award for obtaining the first position in the B.Sc. degree. XAVIER GELABERT received the M.Sc. degree in electrical engineering from the KTH Royal Institute of Technology, Stockholm, in 2003, and the joint B.Sc. and M.Sc. degrees in telecom engineering and the Ph.D. degree (Hons.

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Group mobility by cooperative communication for high speed railway

Cited by 12 publications

References 31 publications

Robust Train-to-Train Transmission Scheduling in mmWave Band for High Speed Train Communication Systems

Robust Train-to-Train Transmission Scheduling in mmWave Band for High Speed Train Communication Systems

Mobility Support for Millimeter Wave Communications: Opportunities and Challenges

A Survey on Handover Management: From LTE to NR

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