2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)最新文献_第6页

On Data-Driven Network Performance Modeling for Mobile Cloud Computing 移动云计算数据驱动网络性能建模研究

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8445844

K. Hummel, René Gabner, H. Schwefel

引用次数: 0

Neural Successive Cancellation Decoding of Polar Codes 极性码的神经连续对消译码

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8445986

Nghia Doan, Seyyed Ali Hashemi, W. Gross

引用次数: 42

Dual-functional Cellular and Radar Transmission: Beyond Coexistence 双功能蜂窝和雷达传输:超越共存

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8445869

Fan Liu, Longfei Zhou, C. Masouros, Ang Li, Wu Luo, A. Petropulu

引用次数: 16

Optimum Training for MIMO BPSK Transmission MIMO BPSK传输的最佳训练

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8446040

Ayed M. Alrashdi, Ismail Ben Atitallah, Tarig Ballal, Christos Thrampoulidis, A. Chaaban, T. Al-Naffouri

引用次数: 10

Learning-Based Antenna Selection for Multicasting 基于学习的多播天线选择

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8446042

M. S. Ibrahim, Ahmed S. Zamzam, Xiao Fu, N. Sidiropoulos

{"title":"Learning-Based Antenna Selection for Multicasting","authors":"M. S. Ibrahim, Ahmed S. Zamzam, Xiao Fu, N. Sidiropoulos","doi":"10.1109/SPAWC.2018.8446042","DOIUrl":"https://doi.org/10.1109/SPAWC.2018.8446042","url":null,"abstract":"In multi-antenna systems, it is preferred to activate only a subset of the available transmit antennas in order to save hardware and energy resources, without seriously degrading the system performance. However, antenna selection often poses very hard optimization problems. Joint multicast beamforming and antenna selection is one particular example, which is often approached by Semi-Definite Relaxation (SDR) type approximations. The drawback is that SDR lifts the problem to a much higher dimension, leading to considerably high memory and computational complexities. In this paper, we propose a machine learning based approach to circumvent the complexity issues. Specifically, we propose a neural network-based approach that aims at selecting a subset of antennas that maximizes the minimum signal to noise ratio at the receivers. The idea is to learn a mapping function (represented by a neural network) that maps channel realizations to antenna selection solutions from massive simulated data. This way, the computational burden of antenna selection can be shifted to off-line neural network training. Experiments demonstrate the efficacy of the proposed machine learning approach relative to the prior state-of-art.","PeriodicalId":240036,"journal":{"name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"123 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":"117322497","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: 29

Adaptive PSK Modulation Scheme in the Presence of Phase Noise 相位噪声存在下的自适应PSK调制方案

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8445933

Simon Bicais, Jean-Baptiste Doré, J. L. Jiménez

引用次数: 2

A Weighted Kernel-Based Hierarchical Classification Method for Zoning of Sensors in Indoor Wireless Networks 基于加权核的室内无线网络传感器分区分层分类方法

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8445918

D. Alshamaa, F. Mourad, P. Honeine

引用次数: 8

Estimating Message Transmission Time Over Heterogeneous Disrupted Links 估计异构中断链路上的消息传输时间

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8446038

Philip Ginzboorg, Valtteri Niemi, J. Ott

引用次数: 0

Vehicle-to-Infrastructure Channel Characterization Based on LTE Measurements 基于LTE测量的车辆到基础设施信道表征

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8446032

Tomás Domínguez-Bolaño, J. Rodríguez-Piñeiro, J. García-Naya, X. Yin, L. Castedo

引用次数: 0

Interference Mitigation Via Rate-Splitting in Cloud Radio Access Networks 云无线接入网中基于速率分割的干扰抑制

2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC) Pub Date : 2018-06-01 DOI: 10.1109/SPAWC.2018.8445778

A. Ahmad, H. Dahrouj, A. Chaaban, A. Sezgin, Mohamed-Slim Alouini

{"title":"Interference Mitigation Via Rate-Splitting in Cloud Radio Access Networks","authors":"A. Ahmad, H. Dahrouj, A. Chaaban, A. Sezgin, Mohamed-Slim Alouini","doi":"10.1109/SPAWC.2018.8445778","DOIUrl":"https://doi.org/10.1109/SPAWC.2018.8445778","url":null,"abstract":"Cloud-radio access networks (C-RAN) help overcoming the scarcity of radio resources by enabling dense deployment of base-stations (BSs), and connecting them to a central-processor (CP). This paper considers the downlink of a C-RAN, and evaluates rate-splitting (RS) and common-message decoding techniques, as a means to enable large-scale interference management. To this end, the paper proposes splitting the message of each user at the CP into a private part decodable at one user, and a common part decodable at a subset of users for the sole purpose of interference mitigation. The paper then focuses on maximizing the weighted sum-rate subject to backhaul capacity and transmission power constraints, so as to determine the RS mode of each user, and the associated beamforming vectors. The paper proposes solving such a complicated non-convex optimization problem using an inner-convex approximation approach, which guarantees achieving a stationary solution to the problem. Numerical results show that the proposed method provides significant gain compared to classical interference mitigation techniques that do not rely on RS and common message decoding.","PeriodicalId":240036,"journal":{"name":"2018 IEEE 19th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)","volume":"15 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":"128102875","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: 15