7th IET International Conference on Wireless, Mobile & Multimedia Networks (ICWMMN 2017)
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- Location: Beijing, China
- Conference date: 17-20 Nov. 2017
- ISBN: 978-1-78561-515-3
- Conference number: CP726
- The following topics are dealt with: MIMO communication; array signal processing; cellular radio; direction-of-arrival estimation; wireless channels; optimisation; mobile radio; compressed sensing; antenna arrays; radiofrequency interference.
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- Author(s): Han Hu ; Hong Wang ; Jie Yang ; Ziyu Pan
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(6 pp.)
In this paper, an analytical framework is developed to evaluate the uplink outage and spatial blocking performance in a multichannel heterogeneous cellular network. A weighted uplink cell association criterion and random channel reuse scheme are integrated in the considered model. The spatial locations of base stations (BSs) per tier as well as the users (UEs) are modelled as independent Poisson point processes. Because of the maximum transmit power constraint, a UE is allowed to communicate with its serving BS only when it has sufficient transmit power to support full channel inversion. With the aid of stochastic geometry, uplink spatial blocking and outage probability are respectively derived, which are validated to be quite close to the true distributions by extensive simulations. Thus, the theoretical analysis developed in this paper is valid. Then, the effect of network parameters, such as weighted factor, power cut-off threshold, and channel reuse factor, can be evaluated by quickly closed-form expressions rather than error-prone system-level simulations. - Author(s): Min Hu ; Hongyun Zheng ; Weiwei Wang ; Yuchun Guo
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(6 pp.)
Switching power supply is the most important energy device at base-station site. Its reliable operation has a direct impact on safe running of mobile telecom network. Through health condition assessment the performance of power supply in the future can be evaluated and hidden rise of unhealthy status can be timely found, thus providing support to prognostic and health management (PHM) and condition-based maintenance (CBM) of power supply. We introduce a metric of health value to describe and quantify the health condition of switching power supply equipment. A method is proposed to estimate health state of the equipment based on alarm data, which is collected from monitoring system of telecom operator in China. With the principle of analytic hierarchy process (AHP) we establish a health-assessment model. Using this model, the evaluation result in terms of health status trend is obtained. A case study shows the effectiveness of the proposed health condition evaluation method. - Author(s): Bo Chen ; Jing Xi ; Yuli Zhang ; Wenjun Yu ; Daan Sun ; Weizheng Yao ; Lizhi Cui
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(5 pp.)
The quality of WiFi's RSSI have greatly affected the power consumption of mobile phone. We analyze the impact of WiFi's RSSI on the power consumption of smartphone under the different network environment. It can be concluded, weak or bad signal strength makes link speed decreases, so the power consumption will be increased. Corresponding, good signal strength will makes WiFi energy consumption decreased. Taking this basic concept, we present an energy optimization strategy based on RSSI perception, which makes network packet aggregate and delay transmission for different intervals. On the other hands, It will reduce the transition of WiFi's mode when RSSI is weak or bad. Simulation results show that the proposed strategy have effectively reduced power consumption of the WiFi component. - Author(s): Qichang Li ; Jiaxun Lu ; Pingyi Fan
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(6 pp.)
With the rapid development of high speed railway(HSR), people intensively have the demand of wireless communication with high-quality while traveling by very high speed trains. However, the current communication system for high speed railway is mainly designed under the assumption that the train velocity is a constant, while in fact the train is moving with a time varying velocity. Under these circumstances, there is some deviation between the current system design and its real working status. Therefore, we focus on the robustness in this work and investigate how the performance of the HSR communication system is affected if the train moving velocity is changing where a 2×2 antenna system and the Alamouti space-time coding are employed. - Author(s): Junfeng Wang ; Yue Cui ; Lanjun Liu ; Haixin Sun ; Shexiang Ma
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(5 pp.)
As a maritime monitoring system aiming to minimize traffic accidents and improve traffic efficiency, cognitive automatic identification system (CAIS) employing some promising technologies, such as spectrum sensing and OFDM, has been developing by us in recent five years. However, OFDM suffers from high sidelobes, which results in adjacent channel interference. Reducing out-of-band radiations (OOBR) is thus critical to the CAIS, and other wireless communication systems with the high sidelobes of the subcarriers. To overcome the above issue, this paper investigates a new method utlizing the one among the database on the OOBR of the featured original signal and the optimal weighting factors which are optimized by multi-population genetic algorithm. These special data suppress the sidelobes of the transmit signal, but not affect signal in band given. With this approach, a significant reduction of the OOBR is achieved without waste spectrum but at the cost of an optimum searching procedure. - Author(s): Ge Niu ; Xiaomin Mu ; Xinying Guo ; Jiankang Zhang
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(6 pp.)
Pilot contamination in massive MIMO systems is a major bottleneck system performance. generally, pilot-based methods are used to eliminate pilot contamination, while the overlong pilot sequence causes the waste of the spectrum resources. In order to solve this problem, we take the cell sectorization division into consideration, and propose a new pilot allocation for scheme cell sectorization of each cell. Specifically, we assigns orthogonal pilot to different users in the same cell sectorization, and reuse the same pilot between different cell sectorization so as to achieve the the purpose of shortening pilot length and improving spectral efficiency while using Bayesian estimation to eliminate pilot contamination. Simulation results show that this scheme is able to eliminate pilot contamination, and the performance is almost the same as the case of undivided cell sectorization. More importantly, the length of the pilot sequence can be significantly reduced, and the performance degradation caused by the division of the cell sectorization can be compensated by increasing the number of antennas. - Author(s): Qiao Su ; Yuehong Shen ; Yimin Wei ; Changliang Deng ; Junnan Xu
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(5 pp.)
This paper proposes an online source recovery algorithm in the noisy case with dynamic source number for wireless statistic division multiplexing (WSDM). Firstly, the proposed algorithm estimates the real-time source number by the presented online Gerschgorin disk estimator (OGDE) which employs the instant covariance matrix and the variable adjustment factor. Then, it recovers the original sources online by the variable-step natural gradient algorithm with bias removal. Compared to the existing source recovery algorithms with dynamic source number, the proposed algorithm has better recovery performance and faster convergence speed in the noisy circumstance. Simulation results validate the effectiveness and superiority of the proposed algorithm in the noisy case with both static and dynamic source number.
Multichannel Analysis for Uplink Heterogeneous Cellular Networks with Flexible Cell Association
Estimate Health Condition of Power Supply at Base-station Sites Based on Alarm Data
A Low-power Transmission Approach of Wifi Network in Smartphone
Robustness Analysis of Space-time Coding in High Speed Railway Communication System
Reducing Out-of-band Radiations for Cognitive Automatic Identification System Based on Multi-population Genetic Algorithm
Pilot Pollution Algorithm Based on Cell Sectorization Elimination in Massive MIMO System
Online Source Recovery Algorithm with Dynamic Source Number for WSDM in the Noisy Case
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- Author(s): Sixue Shi ; Shenghui Wang ; Tong Wu ; Tingling Chai ; Lili Wan
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(7 pp.)
Safe and reliable wireless transmission services are needed in multi-cell massive MIMO mobile communication networks. Physical layer security technology is effective to solve wireless networks transmission security issues. It uses the channel characteristics of wireless to encrypt information so as to improve confidentiality security of communication. Combined with multi-cell cooperation, this paper proposes optimal secure transmission with artificial-noise-aided beamforming, which applies base station selection, in multi-cell massive MIMO networks. In the proposed secure transmission scheme, the optimal base station among all cells is selected which assists generating artificial noise to deteriorate the channel quality of eavesdroppers. The multi-cell communication models under two different base station selections are considered and the lower bounds of the ergodic secrecy rate of the two selections are derived respectively. The genetic algorithm is utilized to optimize the power allocation by maximizing the lower bound of the ergodic secrecy rate. Simulation results show the effectiveness of the proposed transmission scheme. - Author(s): Qian Wang ; Chaoran Dong ; Nan Zhao ; Yonglun Luo
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(4 pp.)
A new design of coplanar waveguide (CPW)-fed ultra-wideband (UWB) multiple-input-multiple-output (MIMO) antenna with miniaturized size and isolation enhancement is proposed in this letter. The presented antenna is consisted of two symmetrical single UWB-antenna elements and it is printed on a 1.6 mm-thick FR-4 substrate with a miniaturized size of 18×22 mm2 which is smaller than most tow-port UWB-MIMO antennas. This antenna has good radiation characteristics and isolation (S11 < -10 dB, S12 < -17.4 dB) in the frequency range of 3.1 GHz-12.7 GHz, and exhibits good impedance matching. By etching a 0.1 mm wide rectangular slit on the ground, a high degree of isolation (S12<20 dB) between the two antenna elements was realized over frequency band of 4 GHz-12.7 GHz. The simulation and experimental results show that this antenna is a good choice for UWB-MIMO systems. - Author(s): Hui Zhang and Hao Chen
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(4 pp.)
This letter presents an improved two-dimensional (2-D) direction-of-arrival (DOA) estimation algorithm for L-shaped array. Based on the relationship among three partitions of the steering vectors, the 2-D DOAs are estimated. By multiplying a selection matrix, the estimation error in Nizar's algorithm is compensated. The proposed algorithm can achieve good estimation performance when the elevation angles of mobile targets are between 70° and 90°. Moreover, the proposed 2-D DOA estimation algorithm is robust and computational efficiency. Simulation results demonstrate the proposed estimation algorithm has good performance, especially at low SNR. - Author(s): A.M.A. Abdo ; Xiongwen Zhao ; Zhenyu Zhou ; Yu Zhang ; O.B. Alzain
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(7 pp.)
Multi User-Multiple Input Multiple Output (MU-MIMO) wireless communication systems, can provide substantial downlink throughput in millimetre wave (mmW) communication by allowing multiple users to communicate on the same frequency and time slots. However, the design of an optimum beam-vector for each user to minimise the interference from other users is challenging. In this work, based on the concept of signal to leakage plus noise ratio (SLNR), we discuss the statistical eigenmode (SE) and zero-forcing (ZF) in Ricean fading channels regarding the ergodic sum-rate capacity. Moreover, also we show the effects of the number of antenna elements, on the achievable rate obtained by dirty paper coding method (DPC). Furthermore, we proposed a new solution method to find an optimum beam-vector, which maximise the SLNR and lead to increase the system capacity directly. The proposed method is based on power approximation, to find the most dominant eigenvector iteratively, to minimise the co-channel interference (CCI). Compared the proposed method with the singular value decomposition (SVD) solution, our proposed method achieved higher performance than SVD regarding achievable sum rate. Indeed, the maximum achieved average system capacity, for our proposed method is almost two times of the capacity achieved by SVD. - Author(s): Zhixu Wang and Rongfang Song
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(6 pp.)
Channel estimation is challenging for millimeter wave (mmWave) massive multiple-input and multiple-output (MIMO) systems, because the number of antennas is much larger than the number of radio frequency (RF) chains and the signal-to-noise ratio (SNR) is low before beamforming. In this paper, we design a typical adaptive codebook based channel estimation by applying adaptive compressive sensing tools to generate beamforming vectors before channel estimation, which yields better performance than the conventional compressive sensing based channel estimation methods without beamforming at low SNRs. To reduce the computational load of hybrid codebook design and improve the channel estimation accuracy, a simultaneous multi-grid orthogonal matching pursuit method, called the S-MG-OMP method, is proposed to generate all the baseband training beamforming vectors simultaneously. In addition, for non-uniform linear arrays (non-ULAs), a random search algorithm is proposed to generate the candidate matrix containing all the RF beamforming vectors and determine the distribution of the antenna arrays by minimizing the newly defined modified mutual coherence. Simulation results show that the channel estimation accuracy is improved via the proposed S-MG-OMP method for uniform linear arrays (ULAs), and the S-MG-OMP method with non-ULAs has a better performance than that with ULAs. - Author(s): Zhongyu Gao ; Zhendong Li ; Ning Wang ; Dong Wang ; Xiaomin Mu
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(6 pp.)
Cell range expansion (CRE) for traffic offloading and load balancing in wireless heterogeneous networks (HetNets) is commonly realized by introducing a positive bias to the user received signal-to-interference-plus-noise ratio (SINR) of the small cell pilot signals when determining cell association. The small cell coverage is then expanded without needing to increase the transmission power. Higher energy and spectral efficiency is achieved accordingly. Most existing work on CRE focused on examining effectiveness of this technical approach but somehow ignored the impact of choosing different CRE bias values. This work presents preliminary results of an investigation of optimal biasing strategies for CRE in wireless HetNets. Specifically, the bias optimization problem for general design objective is formulated. The framework is first simulated in a two-tier HetNet with one single macro base station (BS) and a few small cell BSs scattered uniformly on a ring surrounding the macro BS. A unified CRE bias is adopted to all the small cell BSs. The impact of adjusting the bias value is examined for different design objectives. Simulation results reveal that changing the CRE bias value can significantly improve performance. However, it is also observed that for different performance measures, the results exhibit different trends and behaviors with respect to the bias value. The work is also extended to the scenario where different small cell BSs may adopt different CRE bias values. - Author(s): Yuanqi Jia ; Shuangzhi Li ; Jiankang Zhang ; Ning Wang ; Xiaomin Mu
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(5 pp.)
In this paper, we develop a novel PSK modulated differential spatial modulation (DSM) scheme for massive MIMO uplink systems to avoid the waste of antenna resources, in which the transmitter equips with a few antennas and the receiver equips with a large number of antennas. By taking advantage of the asymptotic property of massive MIMO channels, the transmitted signal can be uniquely decoded without the instantaneous channel state information at the receiver. Compared with typical coherent zero-forcing detector (ZFD), our proposed scheme has a low complexity. Furthermore, the simulation results show that the performance of our proposed scheme is better than ZFD in terms of the bit error performance with the modulation order being greater than 8. When the modulation order is less than 8, the BER performance gap exists between our scheme and ZFD tends to vanish with the increasing of the number of receiver antennas at the receiver. - Author(s): Song Liu ; Yucai Pang ; Guojian Ou ; P.T. Mathiopoulos
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(5 pp.)
Exhaustive search-based Direction-of-Arrival (DoA) estimation algorithms are computationally intensive and may yield a biased result with arrays of arbitrary geometry. In this paper, an algorithm named Grid Iterative Estimation of Signal Parameters via Rotational Invariance Techniques (GI-ESPRIT) is proposed to get a statistically unbiased DoA estimate efficiently based on Augmented ESPRIT (AESPRIT). First, AESPRIT is modified with a loop structure, and then the DoA estimate is obtained via guided phase compensation iteratively. The iteration will converge provably to the right DoA value quickly if a proper initial compensation angle is provided. The entire angle domain is coarsely gridded and the direction of each grid is utilized as an initial compensation angle. Simulations verify the efficiency and effectiveness of the proposed method, and the computation efficiency can be improved significantly compared with other DoA methods such as MUltiple SIgnal Classification (MUSIC) and Manifold Separation Technique (MST).
Optimal Secure Transmission with Artificial-noise-aided Beamforming in Multi-cell Networks
A Compact CPW-fed UWB-MIMO Antenna with Isolation Enhancement
Improved 2-D DOA Estimation Algorithm for L-shaped Array Using Cross-correlation Matrix
MU-MIMO Downlink Sum Rate Analysis Based on SLNR and Optimum Code Vector Design for Millimeter Wave Communications
Adaptive codebook based channel estimation for hybrid mm-Wave massive MIMO systems
On SINR Biasing for Optimal Cell Range Expansion in Two-tier Wireless Hetnets
PSK Modulated Differential Spatial Modulation for Massive MIMO Uplink System
Efficient DoA Estimation Algorithm with Arrays of Arbitrary Geometry via Guided Phase Manipulation
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- Author(s): Fuhua Fan ; Shengliang Fang ; Yong Wang
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(4 pp.)
According to the characteristics of frequency domain distribution of satellite communication signals for FMDA multiple accesses, a detection method for satellite communication interfering signals is given based on compressive sensing theory. The method is applied for monitoring satellite communication signal in wide frequency using MWC (Modulated Wideband Converter) technology in undersampling way. Because of frequency parameters being estimated in the process of reconstructing signals, the proposed method is able to accurately detect illegal signals interfering satellite communication. - Author(s): Bin Pan ; Hao Wu ; Hongwei Ding
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(5 pp.)
This paper analyzes the large-size messages delivery delay in hybrid Vehicle-to-Infrastructure (V2I) and Vehicle-toVehicle (V2V) networks. An analytical model is developed to describe the relationship between the average delivery delay and the distance between neighbor Roadside Units (RSUs) deployed along a road. The effect of message size has been also analysed. The derived model considers a straight highway scenario where RSUs are deployed at the same inter-RSU distance without any direct connection and vehicles are sparsely distributed on the road. We also take into account the dissemination strategy, aiming to minimize the delivery delay. The effectiveness of the derived analytical model is verified through simulation results. The analytical model can also provide important insights for the deployment of RSUs and related reference for the onboard multimedia messages selected to share with others.
Detection Method for Satellite Communication Interfering Signals Based on Compressive Sensing
Delivery delay analysis for large-size multimedia messages in V2I/V2V networks
