{"title":"A Rapid De-mapping Method for 64-APSK","authors":"Junwei Bao, Dazhuan Xu, Xiaofei Zhang","doi":"10.1145/3193092.3193102","DOIUrl":"https://doi.org/10.1145/3193092.3193102","url":null,"abstract":"64-Amplitude Phase Shift Keying (64-APSK) is one of the key technologies, which is widely used in deep space communications and digital video broadcasting via satellite-second generation (DVB-S2) due to the enhanced effectiveness and high spectrum efficiency. Traditional hard de-mapping methods possess good performance, whereas complicated decision regions and troublesome decision procedure are involved. In this paper, a rapid de-mapping method for 64-APSK with low complexity is presented, in which and the constellation of 64-APSK is divided into 6 symbol mappings according to the principal bit. Mean-while, only the symbol mappings in the first quadrant are employed and subsequently, the irregular decision regions in each of them are replaced by regular sectors and the sectors with similar value are combined into bigger decision regions of 0-points and 1-points. When the received signal is mapped to the symbol mappings in the first quadrant, each bit of the received signal is located correspondingly in the decision region. The proposed method can greatly reduce computational complexity since it only needs limited judgments. The simulation results verify that the time consumption is decreased almost without any penalty on Bit Error Rate (BER).","PeriodicalId":402201,"journal":{"name":"Proceedings of the 6th International Conference on Communications and Broadband Networking","volume":"39 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115156065","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}
{"title":"Software Artefact Traceability Analyser: A Case-Study on POS System","authors":"Iresha D. Rubasinghe, D. Meedeniya, I. Perera","doi":"10.1145/3193092.3193094","DOIUrl":"https://doi.org/10.1145/3193092.3193094","url":null,"abstract":"Software traceability is a key notion in the software development. The paper explores the previously developed research-based Software Artefact Traceability Analyser tool called 'SAT-Analyser'. The workflow and capabilities of SAT-Analyser tool are described and evaluated using a case study of a Point of Sale system. Phases such as software artefact identification, data pre-processing, data extraction and traceability establishment methodologies used in the tool SAT-Analyser are presented with graph-based traceability outcome. The case-study based evaluation shows positive accuracy results for the SAT-Analyser tool. Moreover, the proposed traceability management framework for the entire software development life cycle is presented.","PeriodicalId":402201,"journal":{"name":"Proceedings of the 6th International Conference on Communications and Broadband Networking","volume":"50 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132315378","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}
{"title":"Design of CMOS based LNA for 5G Wireless Applications","authors":"A. A. Roobert, D. Rani, M. Divya, S. Rajaram","doi":"10.1145/3193092.3193095","DOIUrl":"https://doi.org/10.1145/3193092.3193095","url":null,"abstract":"V-Band millimeter wave communication is an evolving technology for bandwidth demanding 5G wireless application. A high gain and linear wideband cascoded two stage Low Noise Amplifier (LNA) operating at 52 to 60 GHz is presented in this paper. Proposed CMOS LNA circuit design yields high gain of 30.7dB by forming high Q-Network at the input terminal of the amplifying NMOS device and a source degenerative inductor. Noise Figure (NF) of the first cascoded stage is set as low to reduce the NF of the LNA as 3.92dB. Proper input and output impedance matching have performed to achieve the input return loss of -15.3dB and output return loss of -23.1dB. This circuit has third order input intercept point (IIP3) at -0.99dBm and requires 18.37 mW of power at 1.5V. The circuit was designed in Cadence Virtuoso 90nm technology and simulated using spectre.","PeriodicalId":402201,"journal":{"name":"Proceedings of the 6th International Conference on Communications and Broadband Networking","volume":"105 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123851472","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}
Samrudhi Mohdiwale, T. P. Sahu, Rahul Chaurasia, N. K. Nagwani, Shrish Verma
{"title":"Detection and Classification of Noise Using Bark Domain Features","authors":"Samrudhi Mohdiwale, T. P. Sahu, Rahul Chaurasia, N. K. Nagwani, Shrish Verma","doi":"10.1145/3193092.3193098","DOIUrl":"https://doi.org/10.1145/3193092.3193098","url":null,"abstract":"To detect the presence of noise in the speech signal, an amplitude and frequency comparison approach is presented in the paper. This paper also provides a procedure to classify noise into their corresponding type if noise is detected in the signal. A feature called cumulative short time fourier transform has introduced for classification of noise. As the various type of noise can be present in the signal, so a multiclass classification utilized in order to identify the type of noise using support vector machine. The results obtained by proposed method provide better accuracy than classical methods. The paper also contributes to reduce the time complexity of noise classification approach.","PeriodicalId":402201,"journal":{"name":"Proceedings of the 6th International Conference on Communications and Broadband Networking","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-02-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126427164","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}
{"title":"Proceedings of the 6th International Conference on Communications and Broadband Networking","authors":"","doi":"10.1145/3193092","DOIUrl":"https://doi.org/10.1145/3193092","url":null,"abstract":"","PeriodicalId":402201,"journal":{"name":"Proceedings of the 6th International Conference on Communications and Broadband Networking","volume":"1 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":"129822475","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}