Precise error‐rate performance with distributed antenna selection transmission over Nakagami‐
            <i>m</i>
            fading channels

Wang, Qing; Liu, Ju; Zhai, Chao; Liu, Yuxi; Wang, Xinhua; Ma, Shuang

doi:10.1049/iet-com.2015.0855

Cited by 2 publications

(2 citation statements)

References 26 publications

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“…In order to enhance the wireless power transmission efficiency, various types of communication system have been proposed. Distributed antenna system (DAS) is viewed as a network that can conquer the near‐far effect [10]. The average distance between transmitters and receivers in DAS can be shortened, and the path loss can be mitigated [11].…”

Section: Introductionmentioning

confidence: 99%

Wireless power transmission for remote‐relay‐nodes‐aided smart metering

Wang¹,

Dai²,

Du³

et al. 2019

J. eng.

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Section: Introductionmentioning

confidence: 99%

Wireless power transmission for remote‐relay‐nodes‐aided smart metering

Wang¹,

Dai²,

Du³

et al. 2019

J. eng.

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“…One effective approach is to select a suitable RAU for the WET towards the UE, which can reduce the RF chains cost and enhance the EH efficiency [21]. Practically, various RAU selection schemes for the WIT can be also applied to the wirelesspower based massive DAS [14]- [24].…”

mentioning

confidence: 99%

Throughput of Wireless-Powered Massive Distributed Antenna Systems Over Composite Fading Channels

Wang¹,

Huagang²,

Yu³

et al. 2017

JCM

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Massive Distributed Antenna System (DAS) with energy harvesting can promisingly satisfy the ever-growing wireless transmission requirements while providing sustainable power supply to the User Equipment (UE). In this paper, we propose a massive DAS with multiple-circle layout, where a large number of Remote Antenna Units (RAUs) are evenly distributed across these circles. Based on the instantaneous channel quality, a RAU is selected for the downlink wireless energy transfer to the UE. Using the harvested energy, the UE transmits information to all the RAUs according to the "harvestthen-transmit" protocol over the uplink. The closed-form asymptotic throughput for an arbitrary UE is derived over composite fading channels, which include the shadowing, fading, and path-loss effects. Subsequently, we analyze the average throughput when the UEs are uniformly distributed in the cell. Performance results are provided to validate our theoretical analysis and reveal the impacts of time allocation, UE locations, and RAU deployment on the system throughput. Index Terms-Massive distributed antenna system, remote antenna unit, throughput, wireless energy transfer, wireless information transmission I. INTRODUCTION The fifth-generation (5G) mobile communications systems are expected to satisfy the rapid growth of various wireless services by enhancing the spectral and energy efficiencies [1], [2]. However, since the user equipments (UEs) operate with the capacity-limited batteries, mobile networks cannot realize unstoppable communications [3], [4]. To extend the lifetime of mobile networks, scholars have proposed Energy Harvesting (EH) or Wireless Energy Transfer (WET) technique by enabling the UEs to harvest the ambient Radio Frequency (RF) energy [5], [6]. Nevertheless, the efficiency of WET is low because of the severe path-loss caused by the long distance between transmitters and receivers [7]-[9]. Massive Multiple-Input Multiple-Output (MIMO) technique has been commonly regarded as a promising technique for enhancing the energy efficiency and spectral efficiency by deploying hundreds of antennas at

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Precise error‐rate performance with distributed antenna selection transmission over Nakagami‐ m fading channels

Cited by 2 publications

References 26 publications

Wireless power transmission for remote‐relay‐nodes‐aided smart metering

Wireless power transmission for remote‐relay‐nodes‐aided smart metering

Throughput of Wireless-Powered Massive Distributed Antenna Systems Over Composite Fading Channels

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