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( Sixuan Chen ),( Weixia Zou ),( Xuefeng Liu ),( Yang Zhao ),( Zheng Zhou ) 한국인터넷정보학회 2018 KSII Transactions on Internet and Information Syst Vol.12 No.10
The dynamic opportunistic device-to-device (DO-D2D) network will frequently emerge in the fifth generation (5G) wireless communication due to high-density and fast-moving mobile devices. In order to improve the Quality of Experience (QoE) of users with different computing capacity devices in the DO-D2D network, in this paper, we focus on the study of how to reduce the packets retransmission delay and satisfy heterogeneous devices. To select as many devices as possible to transmit simultaneously without interference, the concurrent transmitters-selecting algorithm is firstly put forward. It jointly considers the number of packets successfully received by each device and the device’s connectivity. Then, to satisfy different devices’ demands while primarily ensuring the base-layer packets successfully received by all the devices, the layer-cooperation instantly decodable network coding is presented, which is used to select transmission packets combination for each transmitter. Simulation results illustrate that there is an appreciable retransmission delay gain especially in the poor channel quality network compared to the traditional base-station (BS) retransmission algorithm. In addition, our proposed algorithms perform well to satisfy the different demands of users with heterogeneous devices.
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Analysis on Coexistence of Ultra Wideband with OFDM-Based Communication Systems
Zhuo Li,Weixia Zou,Bin Li,Zheng Zhou,Xiaojun Huang IEEE 2011 IEEE transactions on electromagnetic compatibility Vol.53 No.3
<P>Considering the potential interference of ultrawideband (UWB) on OFDM-based wireless communication systems, this paper studies coexistence issue between UWB with both impulse radio (IR) and multiband (MB) modulation and IEEE802.11n, WiMAX, and LTE downlink systems, using physical layer modeling strategy. According to the physical characteristics of UWB and the victim systems, entire physical layer models are set up. Based on the requirements of bit error rate (BER) and receiver sensitivity of the three victim systems, the emission limits of UWB are respectively obtained. Compared with a method based on interference to noise ratio (I/N) criteria, this method reflects the effect of the actual systems, so the conclusion can provide the reference to formulating the frequency spectrum of UWB within the operating frequency bands of the victim systems. Besides, we also reveal that IR-UWB should be more strictly regulated compared with MB-OFDM because of its time domain characteristic.</P>
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Li, Bin,Zhou, Zheng,Zou, Weixia,Gao, Wanxin Hindawi Publishing Corporation 2011 EURASIP journal on advances in signal processing Vol.2011 No.1
<P>Given the dense multipath propagation in typical ultra-wideband channels, traditional coherent receivers may become computationally complex and impractical. Recently, noncoherent UWB architectures have been motivated with simple implementations. Nevertheless, the rudimentary statistical assumption and practical information uncertainty inevitably results in a hardly optimistic receiving performance. Inspired by the nature processes, in this paper we suggest a noncoherent UWB demodulator based on the particle swarm intelligence which can be realized in two steps. Firstly, a characteristic spectrum is developed from the received samples. From a novel pattern recognition perspective, four distinguishing features are extracted from this characteristic waveform to thoroughly reveal the discriminant properties of UWB multipath signals and channel noise. Subsequently, this established multidimensional feature space is compressed to a two-dimension plane by the optimal features combination technique, and UWB signal detection is consequently formulated to assign these pattern points into two classes at the minimum errors criterion. The optimal combination coefficients and the decision bound are then numerically derived by using the particle swarm optimization. Our biological noncoherent UWB receiver is independent of any explicit channel parameters, and hence is essentially robust to noise uncertainty. Numerical simulations further validate the advantages of our algorithm over the other noncoherent techniques.</P>
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Interference Alignment in Multi-user MIMO Systems
Yang Zhang,Chaozhi Gu,Zheng Zhou,Weixia Zou 한국통신학회 2015 ICT Express Vol.1 No.1
Interference alignment (IA) has been studied extensively as an advanced technology to obtain the maximum degree of freedom (DoF) of multi-user wireless communication systems. This letter provides a brief review of recent works on IA. The most effective approach of IA is to deploy optimal linear transceivers by exploiting spatial characteristics of wireless channels. It is evaluated in measured multi-input multi-output (MIMO) interference channels. The implementation of IA depends on the characteristics of channel state information (CSI) feedback to the transmitters, such as imperfect, noisy, localized, delayed nature, and so on. In this work, we present a review of existing techniques for IA in typical multi-user MIMO systems. Moreover, we also consider some future research issues related to implementation. The study covers IA's feasibility conditions, solution algorithms in MIMO interference channel and MIMO multi-cell networks, with emphasis on the CSI feedback technology which remains as the major challenge of IA.
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Interference Alignment in Multi-user MIMO Systems
Zhang, Yang,Gu, Chaozhi,Shu, Ruo,Zhou, Zheng,Zou, Weixia The Korean Institute of Communications and Informa 2015 ICT Express Vol.1 No.1
Interference alignment (IA) has been studied extensively as an advanced technology to obtain the maximum degree of freedom (DoF) of multi-user wireless communication systems. This letter provides a brief review of recent works on IA. The most effective approach of IA is to deploy optimal linear transceivers by exploiting spatial characteristics of wireless channels. It is evaluated in measured multi-input multi-output (MIMO) interference channels. The implementation of IA depends on the characteristics of channel state information (CSI) feedback to the transmitters, such as imperfect, noisy, localized, delayed nature, and so on. In this work, we present a review of existing techniques for IA in typical multi-user MIMO systems. Moreover, we also consider some future research issues related to implementation. The study covers IA's feasibility conditions, solution algorithms in MIMO interference channel and MIMO multi-cell networks, with emphasis on the CSI feedback technology which remains as the major challenge of IA.
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