氏名

パン ジェニー

パン ジェニー

職名

講師(任期付)

所属

(国際理工学センター)

本属以外の学内所属

兼担

政治経済学術院(政治経済学部)

学歴・学位

学位

博士

論文

Fairness-aware hybrid resource allocation with cross-carrier scheduling for LTE-U system

Dong, Yupu; Pan, Zhenni; Kang, Kang; Liu, Jiang; Shimamoto, Shigeru; Wicaksono, Ragil Putro; Kunishige, Seiji; Chang, Kwangrok

Lecture Notes in Electrical Engineering425p.114 - 1282018年01月-2018年01月 

DOIScopus

詳細

ISSN:18761100

概要:© Springer Science+Business Media Singapore 2018. Recently, the 3rd Generation Partnership Project (3GPP) proposes to extend the Long Term Evolution Advanced (LTE-A) to the unlicensed spectrum, named Long Term Evolution Unlicensed (LTE-U), which enables LTE to operate in both the licensed band and the unlicensed band. In this paper, we consider how to make LTE-U get even higher throughput in the high traffic unlicensed band. In order to achieve this target, there is a big challenge to make LTE-U a good neighbor to the existing wireless communication technologies in the unlicensed band, such as WIFI system in the 5 GHz band. In our research, we assume two carriers aggregated, one is from licensed band, and the other is from unlicensed. We also define two kinds of frequency resources in the unlicensed band. One is the normal frequency resource that has not been utilized by the WIFI systems, and the other is the special frequency resource that has been utilized by the WIFI systems already. We propose a novel hybrid resource allocation algorithm by combining two different frequency sharing schemes (Underlay and Interweave) and apply different resource allocation algorithm to achieve higher throughput for all kinds of user equipment (UE) from LTE-U when the WIFI system’s traffic is heavy. We also consider the fairness for all UEs from LTE-U system and guarantee that the interference to the WIFI UEs (WUEs) is acceptable.

Novel UE RF condition estimation algorithm by integrating machine learning

Dong, Yupu; Pan, Zhenni; Ernawan, Mohamad Erick; Liu, Jiang; Shimamoto, Shigeru; Wicaksono, Ragil Putro; Kunishige, Seiji; Chang, Kwangrok

Lecture Notes in Electrical Engineering425p.102 - 1132018年01月-2018年01月 

DOIScopus

詳細

ISSN:18761100

概要:© Springer Science+Business Media Singapore 2018. By 2020, 5G era will be commercially available. The smart city construction will also make great progress. Compared to current situation, more than thousand times of devices will connect to the cellular networks. For the operators, in order to analyze overall network performance, it is a key factor to estimate the user equipment (UE) radio frequency (RF) condition. However, practical RF estimation scheme is based on UE data log which can only observe UE that is at the top-serving cell with good RF condition. However, according to the comparison of actual UE data log and the scanner data log, potential RF problems may still exist since the UE will not always be served by the top-1 cell. In this paper, we propose a novel estimation scheme by integrating machine learning (ML) algorithm to analyze the scanner data logs from the target estimation zones where the mobility problems may occur. A hypothesis is obtained from learning step by various kinds of RF condition as input features. The numerical results show that the proposed estimation algorithm integrated ML can estimate probability of the potential mobility problems accurately.

Partnership and data forwarding model for data acquisition in UAV-aided sensor networks

Say, Sotheara; Inata, Hikari; Ernawan, Mohamad Erick; Pan, Zhenni; Liu, Jiang; Shimamoto, Shigeru

2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017p.933 - 9382017年07月-2017年07月 

DOIScopus

詳細

概要:© 2017 IEEE. This paper explores a cooperative partnership and data forwarding model in wireless sensor networks using unmanned aerial vehicle (UAV) with the goal of enhancing the data collection efforts. A UAV-based data acquisition architecture is presented to suppress the limitations of the traditional wireless sensor network. For this, we introduce a flexible and fast approach to collect data by taking into consideration the mobility of the mobile sink (UAV) and sensor nodes in the network. In other words, leveraging the mobility of the UAV and the location of sensor nodes, we adopt a novel frame selection technique that classifies sensor nodes into different frames. Then we present a cooperative partnership model that allows sensor nodes in the network to individually pair with their peers and thus transmitting data simultaneously. We also aim to alleviate the packet loss originated from certain sensor nodes located in the rear edge-side of the UAV's coverage area. This situation happens when the UAV is moving in the forward direction while collecting data. Thus, to alleviate these packet losses while guaranteeing a higher success rate of packet reception ratio, we propose a novel data forwarding scheme to closely integrate with the aforementioned partnership model. We conduct simulations to verify our proposed framework, and results show huge performance gain is obtained over the traditional data collection technique.

A game theory based power control algorithm for future MTC NOMA networks

Kang, Kang; Pan, Zhenni; Liu, Jiang; Shimamoto, Shigeru

2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017p.203 - 2082017年07月-2017年07月 

DOIScopus

詳細

概要:© 2017 IEEE. In this paper, we propose a power control algorithm dedicated for machine type communications (MTC) in future non-orthogonal multiple access (NOMA) networks employing game theory. In MTC networks, communication reliability should be considered prior to power consumption or energy efficiency. Once the reliability is satisfied, discussions about power consumption makes sense. We build a cost function for each device based on a non-cooperative game model. The cost function reflects the power consumption as well as received signal-to-interference plus noise ratio (SINR) of each device. Since we assume the devices are battery-driven, the objective is to minimize the power consumption as much as possible provided that the received SINR of each device is kept beyond an acceptable level so that the reliability can be guaranteed. We derive the power control algorithm function and prove the convergence of this iteration algorithm and the unique existence of Nash equilibrium as well. The simulation results show that under the same constraints of maximum power consumption and minimum acceptable SINR, the proposed algorithm outperforms the conventional algorithms in terms of power consumption and power efficiency.

Game-Theory-Based Distributed Power Splitting for Future Wireless Powered MTC Networks

Kang, Kang; Ye, Rong; Pan, Zhenni; Liu, Jiang; Shimamoto, Shigeru; Shimamoto, Shigeru

IEEE Access5p.20124 - 201342017年09月-2017年09月 

DOIScopus

詳細

概要:© 2013 IEEE. This paper studies the emerging wireless power transfer for machine type communication (MTC) network, where one hybrid access point (AP) with constant power supply communicates with a set of users (i.e., wearable devices and sensors) without power supply. The information and energy are transferred simultaneously in downlink direction. For MTC networks, most devices only receive several bits control data from AP in downlink transmission. So it is possible to utilize part of the received power to execute energy harvesting provided that the transmission reliability is guaranteed. Since we assume that all devices are without power supply or battery, the power of uplink transmission is entirely from energy harvesting. After converting electromagnetic wave to electricity, the devices are able to transmit their measured and collected data in uplink. Based on these considerations, a non-cooperative game model is formulated and a utility function involving both downlink decoding signal to noise ratio (SNR) and uplink throughput is established. The existence of Nash equilibrium (NE) in the formulated game model is proved. The uniqueness of NE is discussed and the expected NE is selected based on fairness equilibrium selection mechanism. The optimal splitting ratio within the feasible set, which maximizes the utility function, is obtained by an iterative function derived from this utility function. The numerical results show that in addition to ensuring the downlink decoding SNR and maximizing uplink throughput of an individual device, our proposed algorithm outperforms the conventional algorithm in terms of system performance.

外部研究資金

科学研究費採択状況

研究種別:

超低遅延、高信頼ワイヤレスアクセス方式の提案及びその評価

2019年-0月-2022年-0月

配分額:¥4420000

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