Service‐based high‐speed railway base station arrangement

Zhang, Chuang; Fan, Pingyi; Dong, Yunquan; Xiong, Ke

doi:10.1002/wcm.2452

Cited by 34 publications

(23 citation statements)

References 18 publications

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“…Formally, channel service is defined as S(t) = t2 t1 C(τ )dτ for a time period of (t 1 , t 2 ), where C(τ ) is the instantaneous capacity over the channel. Based on this metric, the authors in [4] and [5] investigated the total channel service of the train and applied the proposed dominant ratio to the BS deployment. Quality of service (Qos)-based achievable rates was also investigated in [6].…”

Section: Introductionmentioning

confidence: 99%

Power-space functions in high speed railway wireless communications

2015

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To facilitate the base station planning in high speed railway communication systems, it is necessary to consider the functional relationships between the base station transmit power and space parameters such as train velocity and cell radius. Since these functions are able to present some inherent system properties determined by its spatial topology, they will be referred to as the power-space functions in this paper. In light of the fact that the line-of-sight path persists the most power of the received signal of each passing train, this paper considers the average transmission rate and bounds on power-space functions based on the additive white Gaussian noise channel (AWGN) model. As shown by Monte Carlo simulations, using AWGN channel instead of Rician channel introduces very small approximation errors, but a tractable mathematical framework and insightful results. Particularly, lower bounds and upper bounds on the average transmission rate, as well as transmit power as functions of train velocity and cell radius are presented in this paper. It is also proved that to maintain a fixed amount of service or a fixed average transmission rate, the transmit power of a base station needs to be increased exponentially, if the train velocity or cell radius is increased, respectively.Index Terms: Channel service, high speed railway communications, power-space functions, transmission rate.

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Section: Introductionmentioning

confidence: 99%

Power-space functions in high speed railway wireless communications

2015

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“…From the view of practical applications, [3,[17][18][19][20][21] consider the moving agent when energy harvesting happens. When the energy harvested from environment is consecutive, channel service becomes a more suitable performance metric as [19] considered. Literature [20] gives feasibility to such continuous scene.…”

Section: Introductionmentioning

confidence: 99%

When is it optimal for the event-triggered strategy in energy harvesting transmission

Tan

Liu

Fan

2017

J Wireless Com Network

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The energy harvesting network in mobile environment is promising for sustainable environment and green communication. How to efficiently use the harvested energy is a key to improve the performance of energy harvesting communication network. This paper considers a point-to-point communication scenario where a static sensor harvests energy and transmits information to a moving agent. From the viewpoint of information theory, we present an optimal power allocation (PA) solution to achieve the maximum channel service. We prove that using a water-filling transmission power, during a single transmission timeslot, the energy depletion time is uniquely determined by the initial energy in the sensor regardless of the energy-harvesting power. On the other hand, the energy depletion time is a determinant of whether the energy is exhausted at the end of the transmission timeslot. Based on the obtained results, an event-triggered transmission strategy is proposed where a sensor harvests energy to a certain amount so as to trigger information transmission towards the moving agent. Some numerical results are provided to confirm the theoretical analysis and our proposed event-triggered implementation approach.

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“…Of course, fixed transmit power is the simplest strategy for power allocation in HSRs. In [7], it analyzed the system service in HSRs under fixed transmit power, where some base station deployment strategies were obtained. However, it has been already demonstrated that fixed transmit power is not a good choice unless in time-invariant additive white Gaussian noise channel (AWGN) [8].…”

Section: Introductionmentioning

confidence: 99%

QoS-distinguished achievable rate region for high speed railway wireless communications

Fan

Xiong

et al. 2015

2015 IEEE Wireless Communications and Networking Conference (WCNC)

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In high speed railways (HSRs) communication system, the wireless channel between the train and base station varies strenuously due to high mobility, which makes it very essential to implement appropriate adaptive algorithms to guarantee the quality-of-service (QoS). What's more, how to evaluate the performance limits in this new scenario must also be considered. To this end, this paper investigates the performance limits of wireless communication in HSRs scenario. Since the information transmitted between train and base station usually has diverse QoS requirements, a QoS-distinguished achievable rate region is utilized to characterize the transmission performance in this paper, which can be regarded as a generalized case of traditional ergodic capacity and outage capacity with unique QoS requirement. The specific adaptive algorithm that can achieve the maximal boundary of achievable rate region is also derived. Compared with conventional strategies, the advantages of the proposed strategy are validated in terms of green communication, namely minimizing average transmit power. Index Terms-diverse QoS requirements, hybrid information, achievable rate region, conditional capacity function 2015 IEEE Wireless Communications and Networking Conference (WCNC): -Track 3: Mobile and Wireless Networks 978-1-4799-8406-0/15/$31.00 ©2015 IEEE

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Service‐based high‐speed railway base station arrangement

Cited by 34 publications

References 18 publications

Power-space functions in high speed railway wireless communications

Power-space functions in high speed railway wireless communications

When is it optimal for the event-triggered strategy in energy harvesting transmission

QoS-distinguished achievable rate region for high speed railway wireless communications

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