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Featured researches published by Yating Wu.


Wireless Communications and Mobile Computing | 2018

Energy Efficiency Maximized Resource Allocation for Opportunistic Relay-Aided OFDMA Downlink with Subcarrier Pairing

Tao Wang; Chao Ma; Yanzan Sun; Shunqing Zhang; Yating Wu

This paper studies the energy efficiency (EE) maximization for an orthogonal frequency division multiple access (OFDMA) downlink network aided by a relay station (RS) with subcarrier pairing. A highly flexible transmission protocol is considered, where each transmission is executed in two time slots. Every subcarrier in each slot can either be used in direct mode or be paired with a subcarrier in another slot to operate in relay mode. The resource allocation (RA) in such a network is highly complicated, because it has to determine the operation mode of subcarriers, the assignment of subcarriers to users, and the power allocation of the base station and RS. We first propose a mathematical description of the RA strategy. Then, a RA algorithm is derived to find the globally optimum RA to maximize the EE. Finally, we present extensive numerical results to show the impact of minimum required rate of the network, the user number, and the relay position on the maximum EE of the network.


Sensors | 2018

Energy Efficient Pico Cell Range Expansion and Density Joint Optimization for Heterogeneous Networks with eICIC

Yanzan Sun; Wenqing Xia; Shunqing Zhang; Yating Wu; Tao Wang; Yong Fang

Heterogeneous networks, constituted by conventional macro cells and overlaying pico cells, have been deemed a promising paradigm to support the deluge of data traffic with higher spectral efficiency and Energy Efficiency (EE). In order to deploy pico cells in reality, the density of Pico Base Stations (PBSs) and the pico Cell Range Expansion (CRE) are two important factors for the network spectral efficiency as well as EE improvement. However, associated with the range and density evolution, the inter-tier interference within the heterogeneous architecture will be challenging, and the time domain Enhanced Inter-cell Interference Coordination (eICIC) technique becomes necessary. Aiming to improve the network EE, the above factors are jointly considered in this paper. More specifically, we first derive the closed-form expression of the network EE as a function of the density of PBSs and pico CRE bias based on stochastic geometry theory, followed by a linear search algorithm to optimize the pico CRE bias and PBS density, respectively. Moreover, in order to realize the pico CRE bias and PBS density joint optimization, a heuristic algorithm is proposed to achieve the network EE maximization. Numerical simulations show that our proposed pico CRE bias and PBS density joint optimization algorithm can improve the network EE significantly with low computational complexity.


Sensors | 2018

On the Energy Efficiency of On-Off Keying Transmitters with Two Distinct Types of Batteries

Tingting Shen; Tao Wang; Yanzan Sun; Yating Wu; Yanliang Jin

As nodes in wireless sensor networks are usually powered by nonrenewable batteries, energy efficient design becomes critical. This paper considers a battery-powered transmitter using on-off keying (OOK) modulation and studies its energy efficiency in terms of the battery’s energy consumption for per bit transmission (BECPB). In particular, the transmitter may use one of two distinct types of batteries with battery utilization factor (BUF) depending on discharge current. The first has an instantaneous discharge current (IDC)-based BUF, while the second has a mean discharge current (MDC)-based BUF. For each type of battery, a closed-form BECPB expression is derived under a Rayleigh channel when a prescribed symbol error rate (SER) is guaranteed. Then theoretical analysis is made to study the impact of battery characteristic parameter γ, communication distance d and bandwidth B on the BECPB. Finally, the analysis is corroborated by numerical experimental results, which reveal that: the BECPB for each type of battery increases with γ and d; the BECPB for the two batteries first decreases and then increases with B, and there exists the optimal bandwidth corresponding to the minimum BECPB; the battery with IDC-based BUF corresponds to a larger BECPB. When γ and d are large, the BECPB for each type of battery is significantly higher than that for the ideal battery whose BUF is aways 1. For instance, when γ=0.015, d=90 m and B=10 kHz, the BECPB for IDC-based and MDC-based battery is nearly 60% amd 25% higher than that of the ideal battery, respectively.


Iet Communications | 2017

Time allocation optimisation for multi-antenna wireless information and power transfer with training and feedback

Yating Wu; Tao Wang; Yanzan Sun; Chongbin Xu

Time allocation optimisation for a multi-antenna wireless energy and information transfer system is studied in this study. The terminal first harvests the wireless energy from the base station (BS) during phase I, and then uses the harvested energy to power its information transmission during phase II. Realistic channel state information (CSI) assumptions are made where the CSI at the BS is obtained via training and feedback and is subject to channel estimation error and quantisation error. Therefore, in addition to the tradeoff between information and power transfer, there is also a tradeoff in determining the overheads of training and feedback. To gain insight into this problem, the authors characterise the asymptotic behaviour of the parameters in the large system limit where the number of transmit antennas N t and transmission block length L tot tend to infinity with fixed ratio L tot / N t . The optimal overheads of training and feedback within each phase are first derived to maximise the harvested power and the information transmission rate, respectively. The optimised time allocation between phase I and phase II is then obtained by maximising the bounds of the effective average information transmission rate. Finally, numerical results are presented to verify the proposed theorems.


Asia Communications and Photonics Conference 2016 (2016), paper AF2A.149 | 2016

Selective Receiving Modes for Energy Saving in the OFDMA-PON Downlink

Renrong Liu; Shaolin Yang; Yating Wu; Tao Wang; Guoxin Zheng

We propose three selective receiving modes for energy saving in the downlink of OFDMA-PON systems. The experimental results indicate that more than 55% energy can be saved compared to traditional systems.


Asia Communications and Photonics Conference 2016 (2016), paper AF2A.14 | 2016

Grouped Selected Mapping for PAPR Reduction in Optical OFDM Systems

Shaolin Yang; Yating Wu; Tao Wang; Yanzan Sun; Renrong Liu

In this paper we propose a grouped selected mapping (G-SLM) scheme for PAPR reduction in optical OFDM (O-OFDM) systems, which improves the PAPR reduction performance and decreases the overhead of side information.


international conference on communication technology | 2013

An upgradable broadcasting service enabled all-optical OFDM-PON architecture based on centralized comb source

Jian Chen; Mingzhi Mao; Qianwu Zhang; Yingxiong Song; Yingchun Li; Yating Wu; Min Wang

An upgradable broadcasting service enabled all-optical OFDM-PON architecture based on centralized comb source is proposed. Optical frequency comb generator based on a re-circulating frequency shifter for our OFDM-PON system is illustrated. The configuration employs only one light source to support 8 optical network units for downstream, upstream and broadcasting services.


Archive | 2012

Multi-mode/single-mode optical fiber connector based on double-clad optical fiber

Qianwu Zhang; Jungao Hu; Yingxiong Song; Yating Wu; Xianglong Zeng; Min Wang


Optics Communications | 2015

Minimum cost maximum flow algorithm for upstream bandwidth allocation in OFDMA passive optical networks

Yating Wu; Bin Kuang; Tao Wang; Qianwu Zhang; Min Wang


ieee advanced information management communicates electronic and automation control conference | 2018

Automated FMCW Radar Experimental Platform

Mingfang Wang; Tao Wang; Yanzan Sun; Yating Wu; Yongjin Zhou; Xuexia Yang

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