Pub Date : 1900-01-01DOI: 10.1109/BlackSeaCom.2017.8277715
M. S. Demir, Farshad Miramirkhani, M. Uysal
In this work, we consider a cellular visible light communication (VLC) network where each ceiling luminary serves as an access point (AP). The network is assumed to support coordinated multipoint transmission (CoMP). The user is mainly served by an AP (i.e., luminary) from which he/she gets the strongest signal. When the user moves towards the cell edge, the received signal from the served AP drops. Based on the handover algorithm decision, a handover to another AP can take place or CoMP is initiated. In the case of CoMP, the user is jointly served by two coordinating APs that transmit the same information. We compare the performance of proposed joint transmission-handover algorithm with conventional hard handover and demonstrate significant performance gains in terms of user data rate.
{"title":"Handover in VLC networks with coordinated multipoint transmission","authors":"M. S. Demir, Farshad Miramirkhani, M. Uysal","doi":"10.1109/BlackSeaCom.2017.8277715","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2017.8277715","url":null,"abstract":"In this work, we consider a cellular visible light communication (VLC) network where each ceiling luminary serves as an access point (AP). The network is assumed to support coordinated multipoint transmission (CoMP). The user is mainly served by an AP (i.e., luminary) from which he/she gets the strongest signal. When the user moves towards the cell edge, the received signal from the served AP drops. Based on the handover algorithm decision, a handover to another AP can take place or CoMP is initiated. In the case of CoMP, the user is jointly served by two coordinating APs that transmit the same information. We compare the performance of proposed joint transmission-handover algorithm with conventional hard handover and demonstrate significant performance gains in terms of user data rate.","PeriodicalId":126747,"journal":{"name":"2017 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"12 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":"114631454","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}
Pub Date : 1900-01-01DOI: 10.1109/BlackSeaCom.2017.8277671
Selahattin Gökceli, S. T. Basaran, Günes Karabulut-Kurt
Cooperative communication technique is an emerging trend in communication systems and offers benefits of multiple-input-multiple-output (MEMO) systems. Decode-and-forward (DF) method is one of most the known methods that is utilized in cooperative communication systems. Its lower complexity and higher practicality benefits make DF very useful. However, DF is affected negatively by erroneous transmission and performance could be limited. Several approaches are proposed for this drawback. An effective solution is a maximum likelihood (ML) detector that is based on maximization of probability density function in orthogonal transmissions. In this study, ML detector is utilized with orthogonal frequency division multiple access (OFDMA) technique and performance are measured by using software defined radio (SDR) nodes. In order to further improve that solution, a low complex suboptimal detector based on ML detector is proposed. The performance of the suboptimal detector is also quantified with SDR nodes.
{"title":"Implementing cooperative communication protocols: Decode and forward case study","authors":"Selahattin Gökceli, S. T. Basaran, Günes Karabulut-Kurt","doi":"10.1109/BlackSeaCom.2017.8277671","DOIUrl":"https://doi.org/10.1109/BlackSeaCom.2017.8277671","url":null,"abstract":"Cooperative communication technique is an emerging trend in communication systems and offers benefits of multiple-input-multiple-output (MEMO) systems. Decode-and-forward (DF) method is one of most the known methods that is utilized in cooperative communication systems. Its lower complexity and higher practicality benefits make DF very useful. However, DF is affected negatively by erroneous transmission and performance could be limited. Several approaches are proposed for this drawback. An effective solution is a maximum likelihood (ML) detector that is based on maximization of probability density function in orthogonal transmissions. In this study, ML detector is utilized with orthogonal frequency division multiple access (OFDMA) technique and performance are measured by using software defined radio (SDR) nodes. In order to further improve that solution, a low complex suboptimal detector based on ML detector is proposed. The performance of the suboptimal detector is also quantified with SDR nodes.","PeriodicalId":126747,"journal":{"name":"2017 IEEE International Black Sea Conference on Communications and Networking (BlackSeaCom)","volume":"16 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":"124823576","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}
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