Capacity of 4-by-4 MIMO Channel Using One Composite Leaky Coaxial Cable With User Position Information

Hou, Yafei; Zhu, Junjie; Denno, Satoshi; Okada, Minoru

doi:10.1109/tvt.2019.2942945

Cited by 13 publications

(10 citation statements)

References 25 publications

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“…In addition to EP allocation method and WF allocation method, the research in [32] has proposed and evaluated a low-complexity transmission power allocation method for LCX-MIMO channel using the position information (PI) of the user. The results show that the proposed power allocation method using user PI can improve the channel capacity with almost the same low computational complexity as the EP method.…”

Section: Lcx-mimo Channel Capacity With Localization Errormentioning

confidence: 99%

“…The results show that the positioning performance integrating both location information from two LCXs perpendicular to each other is better than that of conventional method. On the other hand, a low-complexity power allocation method using user's position information for LCX-MIMO is proposed in [32]. This paper will also evaluate the capacity performance of the LCX-MIMO with the proposed positioning method.…”

Section: Introductionmentioning

confidence: 99%

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A study for 2-D indoor localization using multiple leaky coaxial cables

Zhu

Hou

et al. 2020

SIP

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Indoor localization technology, which can provide the location information of the target object or stochastic things, is becoming essential requirement for many applications and services such as Internet-of-Things (IoT), real-time control in the development of Fifth-generation (5G) technology. Leaky coaxial cable which can be used as antennas is able to detect the location of the user in a simple way due to its potential property. In this paper, we proposes a simple method to improve the localization accuracy of 2-D indoor localization using multiple LCX cables. In addition, we also evaluate the channel capacity loss due to the localization error of the LCX-MIMO using our proposed method.

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Section: Lcx-mimo Channel Capacity With Localization Errormentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A study for 2-D indoor localization using multiple leaky coaxial cables

Zhu

Hou

et al. 2020

SIP

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“…In [24], authors develop a different combination of multiple LCXs to achieve higher accuracy in localization. On the other hand, due to the constant power loss in the cable, LCX can easily improve the channel capacity by transmitting power allocation using the user's position information [25].…”

Section: Introductionmentioning

confidence: 99%

Two-Dimensional RSSI-Based Indoor Localization Using Multiple Leaky Coaxial Cables With a Probabilistic Neural Network

et al. 2022

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Received signal strength indicator (RSSI) based indoor localization technology has its own irreplaceable advantages for many location-aware applications. It is becoming obvious that in the development of fifth-generation (5G) and future communication technology, indoor localization technology will play a key role in location-based application scenarios including smart home systems, manufacturing automation, health care, and robotics. Compared with wireless coverage using conventional monopole antenna, leaky coaxial cables (LCX) can generate a uniform and stable wireless coverage over a long-narrow linear-cell or irregular environment such as railway station and underground shopping-mall, especially for some manufacturing factories with wireless zone areas from a large number of mental machines. This paper presents a localization method using multiple leaky coaxial cables (LCX) for an indoor multipathrich environment. Different from conventional localization methods based on time of arrival (TOA) or time difference of arrival (TDOA), we consider improving the localization accuracy by machine learning RSSI from LCX. We will present a probabilistic neural network (PNN) approach by utilizing RSSI from LCX. The proposal is aimed at the two-dimensional (2-D) localization in a trajectory. In addition, we also compared the performance of the RSSI-based PNN (RSSI-PNN) method and conventional TDOA method over the same environment. The results show the RSSI-PNN method is promising and more than 90% of the localization errors in the RSSI-PNN method are within 1 m. Compared with the conventional TDOA method, the RSSI-PNN method has better localization performance especially in the middle area of the wireless coverage of LCXs in the indoor environment.

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“…The result shows the MIMO channel with LCXs in the tunnel has a promising performance. In [30], the authors design and realize a 4-by-4 MIMO channel with one composite LCX. It has also proposed and analyzed a transmission power allocation method with low computational complexity utilizing the user's positional information.…”

Section: Introductionmentioning

confidence: 99%

Capacity Loss From Localization Error in MIMO Channel Using Leaky Coaxial Cable

et al. 2021

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Leaky coaxial (LCX) cable has been employed as antennas for wireless traffic over many linear-cell scenarios such as railway station, tunnels and shopping malls. In addition, LCX can be used for user localization and wireless power transfer (WPT). Compared with the equal power allocation method, the power allocation method for LCX system using positional information (PI) can improve its capacity with the same level of computational complexity. In this paper, we will investigate the level of capacity loss on the 2.4 GHz and 5 GHz band for the conventional equal power (EP) allocation method, the water-filling (WF) based power allocation, and our proposed low-complexity power allocation method for LCX system with PI. The results show that LCX system with our proposed method using PI can reduce the capacity loss due to localization error than that of others.

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Capacity of 4-by-4 MIMO Channel Using One Composite Leaky Coaxial Cable With User Position Information

Cited by 13 publications

References 25 publications

A study for 2-D indoor localization using multiple leaky coaxial cables

A study for 2-D indoor localization using multiple leaky coaxial cables

Two-Dimensional RSSI-Based Indoor Localization Using Multiple Leaky Coaxial Cables With a Probabilistic Neural Network

Capacity Loss From Localization Error in MIMO Channel Using Leaky Coaxial Cable

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