2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)最新文献_第7页

Experimental validation for spectrum cartography using adaptive multi-kernels 自适应多核光谱制图的实验验证

2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 2017-12-01 DOI: 10.1109/ICSPCS.2017.8270459

Henning Idsøe, Mohamed Hamid, Linga Reddy Cenkeramaddi, Thomas Jordbru, B. Beferull-Lozano

引用次数: 1

5G new RAT uplink control channel for small payloads 用于小载荷的5G新RAT上行控制通道

2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 2017-12-01 DOI: 10.1109/ICSPCS.2017.8270488

Yuki Matsumura, Lihui Wang, K. Takeda, Satoshi Nagata

引用次数: 3

An open source C++ implementation of multi-threaded Gaussian mixture models, k-means and expectation maximisation 一个开源的c++实现多线程高斯混合模型，k-均值和期望最大化

2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 2017-07-28 DOI: 10.1109/ICSPCS.2017.8270510

Conrad Sanderson, Ryan R. Curtin

{"title":"An open source C++ implementation of multi-threaded Gaussian mixture models, k-means and expectation maximisation","authors":"Conrad Sanderson, Ryan R. Curtin","doi":"10.1109/ICSPCS.2017.8270510","DOIUrl":"https://doi.org/10.1109/ICSPCS.2017.8270510","url":null,"abstract":"Modelling of multivariate densities is a core component in many signal processing, pattern recognition and machine learning applications. The modelling is often done via Gaussian mixture models (GMMs), which use computationally expensive and potentially unstable training algorithms. We provide an overview of a fast and robust implementation of GMMs in the C++ language, employing multi-threaded versions of the Expectation Maximisation (EM) and k-means training algorithms. Multi-threading is achieved through reformulation of the EM and k-means algorithms into a MapReduce-like framework. Furthermore, the implementation uses several techniques to improve numerical stability and modelling accuracy. We demonstrate that the multi-threaded implementation achieves a speedup of an order of magnitude on a recent 16 core machine, and that it can achieve higher modelling accuracy than a previously well-established publically accessible implementation. The multi-threaded implementation is included as a user-friendly class in recent releases of the open source Armadillo C++ linear algebra library. The library is provided under the permissive Apache 2.0 license, allowing unencumbered use in commercial products.","PeriodicalId":268205,"journal":{"name":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":"26 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-07-28","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130190752","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: 6

Backhaul, QoS, and channel-aware load balancing optimization in SDN-based LTE networks 基于sdn的LTE网络中的回程、QoS和信道感知负载均衡优化

2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 1900-01-01 DOI: 10.1109/ICSPCS.2017.8270489

F. Khan, M. Portmann

{"title":"Backhaul, QoS, and channel-aware load balancing optimization in SDN-based LTE networks","authors":"F. Khan, M. Portmann","doi":"10.1109/ICSPCS.2017.8270489","DOIUrl":"https://doi.org/10.1109/ICSPCS.2017.8270489","url":null,"abstract":"Future cellular networks utilizes complex network technologies that makes it hard to achieve fine-grained traffic control. Moreover dynamic channel conditions alongwith finite backhaul capacity, limits the desired quality of service (QoS) objectives. This work aims to design a framework for software-defined cellular networks (SDCN) and suggests channel and QoS-aware load balancing procedures that jointly consider both access and back-haul networks. Based on the overall access and backhaul load information we first formulate optimization problems for both QoS and non-QoS users, respectively, considering their specific objectives. Then a realistic algorithm is proposed consisting of users scheduling, load estimation, handover decision, admission, and rate control procedures. To achieve optimal control of backhaul and access network segments in a timely efficient manner, the procedures are envisioned to run in a distributed fashion. Using our system-level SDN-LTE testbed developed in the network simulator (NS3), the proposed system is evaluated and compared with other state-of-the-art cell association algorithms that either consider the fairness in load distribution factor or just maximizes the end user rate while ignoring the load metric.","PeriodicalId":268205,"journal":{"name":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":"49 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116100981","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: 12

Backhaul, QoS, and channel-aware load balancing optimization in SDN-based LTE networks 基于sdn的LTE网络中的回程、QoS和信道感知负载均衡优化

2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS) Pub Date : 1900-01-01 DOI: 10.1109/ICSPCS.2017.8270500

F. Khan, M. Portmann

{"title":"Backhaul, QoS, and channel-aware load balancing optimization in SDN-based LTE networks","authors":"F. Khan, M. Portmann","doi":"10.1109/ICSPCS.2017.8270500","DOIUrl":"https://doi.org/10.1109/ICSPCS.2017.8270500","url":null,"abstract":"Future cellular networks utilizes complex network technologies that makes it hard to achieve fine-grained traffic control. Moreover dynamic channel conditions alongwith finite backhaul capacity, limits the desired quality of service (QoS) objectives. This work aims to design a framework for software-defined cellular networks (SDCN) and suggests channel and QoS-aware load balancing procedures that jointly consider both access and back-haul networks. Based on the overall access and backhaul load information we first formulate optimization problems for both QoS and non-QoS users, respectively, considering their specific objectives. Then a realistic algorithm is proposed consisting of users scheduling, load estimation, handover decision, admission, and rate control procedures. To achieve optimal control of backhaul and access network segments in a timely efficient manner, the procedures are envisioned to run in a distributed fashion. Using our system-level SDN-LTE testbed developed in the network simulator (NS3), the proposed system is evaluated and compared with other state-of-the-art cell association algorithms that either consider the fairness in load distribution factor or just maximizes the end user rate while ignoring the load metric.","PeriodicalId":268205,"journal":{"name":"2017 11th International Conference on Signal Processing and Communication Systems (ICSPCS)","volume":"40 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"114392343","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: 3