2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)最新文献_第3页

Robust Downlink Transmission: An Offset-Based Single-Rate-Splitting Approach 稳健下行传输:一种基于偏移量的单速率分割方法

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8446039

Mostafa Medra, T. Davidson

{"title":"Robust Downlink Transmission: An Offset-Based Single-Rate-Splitting Approach","authors":"Mostafa Medra, T. Davidson","doi":"10.1109/SPAWC.2018.8446039","DOIUrl":"https://doi.org/10.1109/SPAWC.2018.8446039","url":null,"abstract":"We consider a multi-user multiple-input single-output downlink system that provides each user with a prespecified level of quality-of-service. The rate-splitting (RS) approach to this problem involves splitting the messages of each user into common and private portions that are transmitted in superposition and decoded sequentially. By adjusting the rates of each portion, the RS approach is able to mitigate the interference that conventional linear beamforming (CLB) schemes incur when users have channels that are closely aligned. However, the transmitter design problem for the RS approach can be quite challenging to solve. In this paper we develop a single-rate-splitting approach, in which RS is applied only to the user with the channel that is “most aligned” with the other channels. This approach greatly reduces the computational cost of RS designs, and admits an offset-based variant that provides robustness to channel estimation errors. Despite its simplifications, our simulation results indicate that the proposed approach retains most of the performance advantage of RS transmission over CLB.","PeriodicalId":240036,"journal":{"name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129293159","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 11

Multi-Antenna Receiver for Ambient Backscatter Communication Systems 环境反向散射通信系统的多天线接收机

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8446004

Ruifeng Duan, R. Jäntti, Mohamed A. Elmossallamy, Zhu Han, M. Pan

引用次数: 16

Optimizing Pilots and Analog Processing for Channel Estimation in Cell-Free Massive MIMO with One-Bit ADCs 基于1位adc的无小区大规模MIMO信道估计的导频优化和模拟处理

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8445960

Seok-Hwan Park, O. Simeone, Yonina C. Eldar, E. Erkip

引用次数: 17

LPA-SD: An Efficient First-Order Method for Single-Group Multicast Beamforming LPA-SD:一种有效的一阶单组多播波束形成方法

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8446006

Rujun Jiang, Huikang Liu, A. M. So

引用次数: 2

Delay-Constrained Communication in Edge Computing Networks 边缘计算网络中的时延约束通信

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8446044

Yulin Hu, A. Schmeink

引用次数: 9

Automatic Modulation Recognition Using Deep Learning Architectures 使用深度学习架构的自动调制识别

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8446021

Meng Zhang, Yuan Zeng, Zidong Han, Yi Gong

引用次数: 61

Interference Alignment Based Spectrum Sharing for MIMO Radar and Communication Systems 基于干扰对准的MIMO雷达和通信系统频谱共享

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8445973

Yuanhao Cui, V. Koivunen, Xiaojun Jing

{"title":"Interference Alignment Based Spectrum Sharing for MIMO Radar and Communication Systems","authors":"Yuanhao Cui, V. Koivunen, Xiaojun Jing","doi":"10.1109/SPAWC.2018.8445973","DOIUrl":"https://doi.org/10.1109/SPAWC.2018.8445973","url":null,"abstract":"When Multi-Input Multi-Output (MIMO) radar and communication transceivers are co-existing and operating simultaneously in the same frequency band, interference can be managed by designing signal spaces that facilitate spectrum sharing. In this paper, a spatial precoder-decoder design based on Interference Alignment (IA) is proposed assuming that an interference channel is shared by Kc communication users and Kr radar users. In order to find an IA based precoder-decoder solution guaranteeing desired multiplexing gain or diversity order, the design problem is formulated using a rank minimization criterion with rank constraint for the communication subsystem and rank minimization criterion with l0 norm constraint for the radar, respectively. To deal with the non-convex nature of the optimization problem, we relax the problem by using nuclear norm. A generalized likelihood ratio test for target detection and a maximum likelihood estimator for target direction parameter are derived. The performance of the proposed IA based precoder-decoder design is analyzed using the GLRT detector and the ML estimator for MIMO radar. Analytical and simulation results show that radar detection performance is similar to the interference-free case with desired diversity order if the decoder matrix is semi-unitary and IA is perfect.","PeriodicalId":240036,"journal":{"name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122639449","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 22

Low-Complexity Multiuser Hybrid Precoding and Combining for Frequency Selective Millimeter Wave Systems 频率选择毫米波系统的低复杂度多用户混合预编码与组合

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8445908

Javier Rodríguez-Fernández, N. G. Prelcic

引用次数: 6

User Scheduling in Massive MIMO 大规模MIMO中的用户调度

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8445907

Hong Yang

引用次数: 10

Shift Invariance and Deformation Error Properties of Deep Convolutional Neural Networks Based on Wavelets 基于小波的深度卷积神经网络的移位不变性和变形误差特性

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8446027

Johannes Grobmann, M. Koller, U. Mönich, H. Boche

{"title":"Shift Invariance and Deformation Error Properties of Deep Convolutional Neural Networks Based on Wavelets","authors":"Johannes Grobmann, M. Koller, U. Mönich, H. Boche","doi":"10.1109/SPAWC.2018.8446027","DOIUrl":"https://doi.org/10.1109/SPAWC.2018.8446027","url":null,"abstract":"An important step towards a mathematical theory of deep convolutional neural networks (DCNNs) was achieved by investigating so-called scattering networks. For scattering networks, a deformation error stability bound has been established. It remained an open question for which functions in L2 (R d) the bound actually is finite. For practical applications, it is further relevant to know whether the deformation error can be controlled for a “large” set of functions or only for a “small” set. Recently, there has been progress regarding the mathematical understanding of scattering networks and new decay bounds on the energy per network layer were discovered. We show how these bounds can be used to control the deformation error by constructing an upper bound on the existing deformation error bounds. The structure of the new deformation error bound is less complex and allows us to conduct a qualitative mathematical analysis using the functional analytic tool of Baire categories and determine the “size” of the set of functions for which finiteness holds. Our results reveal that the new bound is finite only on a set of first Baire category (meager set). In addition, our investigations focus on shift invariance which is an important property for many signal processing applications. We study the deformation error bounds for shift-invariant closed subspace of L2R) as input for DCNNs. This turns out to be closely related to the Paley-Wiener spaces of bandlimited functions.","PeriodicalId":240036,"journal":{"name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133755210","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 0