Pub Date : 2015-06-08DOI: 10.1109/ICCW.2015.7247289
Jingxiao Ma, W. Liu, R. Langley
In this paper, the problem of distributed beamforming for cognitive radio systems with frequency-selective channel is studied. Our proposed scheme is based on the filter-and-forward (FF) relay beamforming approach and aims to maximize the received signal to interference plus noise ratio (SINR) at the secondary destination, while suppressing the interference introduced to the primary user. This scheme is further extended to accommodate a relay node output power constraint. Under certain conditions, the extended scheme can be transformed into two sub-schemes with lower computational complexity, where their closed-form solutions are derived. Simulation results are provided to show the performance of the proposed schemes.
{"title":"Filter-and-forward distributed relay beamforming for cognitive radio systems","authors":"Jingxiao Ma, W. Liu, R. Langley","doi":"10.1109/ICCW.2015.7247289","DOIUrl":"https://doi.org/10.1109/ICCW.2015.7247289","url":null,"abstract":"In this paper, the problem of distributed beamforming for cognitive radio systems with frequency-selective channel is studied. Our proposed scheme is based on the filter-and-forward (FF) relay beamforming approach and aims to maximize the received signal to interference plus noise ratio (SINR) at the secondary destination, while suppressing the interference introduced to the primary user. This scheme is further extended to accommodate a relay node output power constraint. Under certain conditions, the extended scheme can be transformed into two sub-schemes with lower computational complexity, where their closed-form solutions are derived. Simulation results are provided to show the performance of the proposed schemes.","PeriodicalId":6464,"journal":{"name":"2015 IEEE International Conference on Communication Workshop (ICCW)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"72898497","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 : 2015-06-08DOI: 10.1109/ICCW.2015.7247067
Ahmed Douik, H. Dahrouj, T. Al-Naffouri, Mohamed-Slim Alouini
The deluge of date rate in today's networks poses a cost burden on the backhaul network design. Developing cost efficient backhaul solutions becomes an interesting, yet challenging, problem. Traditional technologies for backhaul networks include either radio-frequency backhauls (RF) or optical fibres (OF). While RF is a cost-effective solution as compared to OF, it supports lower data rate requirements. Another promising backhaul solution that may combine both a high data rate and a relatively low cost is the free-space optics (FSO). FSO, however, is sensitive to nature conditions (e.g., rain, fog, line-ofsight, etc.). A more reliable alternative is, therefore, to combine RF and FSO solutions through a hybrid structure called hybrid RF/FSO. Consider a backhaul network, where the base-stations (BS) can be connected to each other either via OF or hybrid RF/FSO backhaul links. The paper addresses the problem of minimizing the cost of backhaul planning under connectivity and data rates constraints, so as to choose the appropriate costeffective backhaul type between BSs (i.e., either OF or hybrid RF/FSO). The paper solves the problem using graph theory techniques by introducing the corresponding planning graph. It shows that under a specified realistic assumption about the cost of OF and hybrid RF/FSO links, the problem is equivalent to a maximum weight clique problem, which can be solved with moderate complexity. Simulation results show that our proposed solution shows a close-to-optimal performance, especially for practical prices of the hybrid RF/FSO.
{"title":"Cost-effective backhaul design using hybrid radio/free-space optical technology","authors":"Ahmed Douik, H. Dahrouj, T. Al-Naffouri, Mohamed-Slim Alouini","doi":"10.1109/ICCW.2015.7247067","DOIUrl":"https://doi.org/10.1109/ICCW.2015.7247067","url":null,"abstract":"The deluge of date rate in today's networks poses a cost burden on the backhaul network design. Developing cost efficient backhaul solutions becomes an interesting, yet challenging, problem. Traditional technologies for backhaul networks include either radio-frequency backhauls (RF) or optical fibres (OF). While RF is a cost-effective solution as compared to OF, it supports lower data rate requirements. Another promising backhaul solution that may combine both a high data rate and a relatively low cost is the free-space optics (FSO). FSO, however, is sensitive to nature conditions (e.g., rain, fog, line-ofsight, etc.). A more reliable alternative is, therefore, to combine RF and FSO solutions through a hybrid structure called hybrid RF/FSO. Consider a backhaul network, where the base-stations (BS) can be connected to each other either via OF or hybrid RF/FSO backhaul links. The paper addresses the problem of minimizing the cost of backhaul planning under connectivity and data rates constraints, so as to choose the appropriate costeffective backhaul type between BSs (i.e., either OF or hybrid RF/FSO). The paper solves the problem using graph theory techniques by introducing the corresponding planning graph. It shows that under a specified realistic assumption about the cost of OF and hybrid RF/FSO links, the problem is equivalent to a maximum weight clique problem, which can be solved with moderate complexity. Simulation results show that our proposed solution shows a close-to-optimal performance, especially for practical prices of the hybrid RF/FSO.","PeriodicalId":6464,"journal":{"name":"2015 IEEE International Conference on Communication Workshop (ICCW)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"80441245","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 : 2015-06-08DOI: 10.1109/ICCW.2015.7247177
Ngoc-Dung Dào, Han Zhang, H. Farmanbar, Xu Li, Aaron Callard
In this paper, we introduce new solutions to handle real-time video traffic, such as video conferencing, in the future software-defined radio access networks. The real-time video is well-known for its high peak-to-mean rate ratio. This is a major challenge for traffic engineering and radio resource allocation, especially in small cell radio networks. We first propose an online method to dynamically estimate the effective rate of video flows, which is the rate the network should support in order to provide a satisfactory quality of experience. Second, traffic engineering methods taking into account characteristics of video flows are presented. Third, a radio coordination method to provide stable video rate across cells is discussed. Fourth, we give a fountain coding scheme to support mobile video users. The proposed solutions are investigated in an ultra-dense small cell network simulator. The simulation results show very significant gains over conventional technologies.
{"title":"Handling real-time video traffic in software-defined radio access networks","authors":"Ngoc-Dung Dào, Han Zhang, H. Farmanbar, Xu Li, Aaron Callard","doi":"10.1109/ICCW.2015.7247177","DOIUrl":"https://doi.org/10.1109/ICCW.2015.7247177","url":null,"abstract":"In this paper, we introduce new solutions to handle real-time video traffic, such as video conferencing, in the future software-defined radio access networks. The real-time video is well-known for its high peak-to-mean rate ratio. This is a major challenge for traffic engineering and radio resource allocation, especially in small cell radio networks. We first propose an online method to dynamically estimate the effective rate of video flows, which is the rate the network should support in order to provide a satisfactory quality of experience. Second, traffic engineering methods taking into account characteristics of video flows are presented. Third, a radio coordination method to provide stable video rate across cells is discussed. Fourth, we give a fountain coding scheme to support mobile video users. The proposed solutions are investigated in an ultra-dense small cell network simulator. The simulation results show very significant gains over conventional technologies.","PeriodicalId":6464,"journal":{"name":"2015 IEEE International Conference on Communication Workshop (ICCW)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82186952","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 : 2015-06-08DOI: 10.1109/ICCW.2015.7247459
Yu Zhao, Khalil Mansouri, Yang Yang, Zhenqiang Mi
Rating Prediction is a key problem in recommendation system, especially in Bigdata environment with data sparsity. Recently, Factorization Machine (FM) has been proven to be effective in solving the recommendation problem. Whereas, valuable category information of users and items are neglected in basic FM model. In this paper, we fully explore the capabilities of category information to improve the accuracy of rating prediction, and proposed a Category Weight Factorization Machine (CW-FM) based on FM. CW-FM utilizes hierarchical category information to avoid the interaction between feature vectors which have the subordinate relations. Combined with user and item category information, CW-FM is proven to be an effective solutions to reducing the rating error in recommendation systems. The proposed CW-FM is evaluated by extensive experiments with real world datasets. Results show that CW-FM model achieves better iterative efficiency and higher rating accuracy compared to contemporary schemes.
{"title":"Rating Prediction using Category Weight Factorization Machine in Bigdata environment","authors":"Yu Zhao, Khalil Mansouri, Yang Yang, Zhenqiang Mi","doi":"10.1109/ICCW.2015.7247459","DOIUrl":"https://doi.org/10.1109/ICCW.2015.7247459","url":null,"abstract":"Rating Prediction is a key problem in recommendation system, especially in Bigdata environment with data sparsity. Recently, Factorization Machine (FM) has been proven to be effective in solving the recommendation problem. Whereas, valuable category information of users and items are neglected in basic FM model. In this paper, we fully explore the capabilities of category information to improve the accuracy of rating prediction, and proposed a Category Weight Factorization Machine (CW-FM) based on FM. CW-FM utilizes hierarchical category information to avoid the interaction between feature vectors which have the subordinate relations. Combined with user and item category information, CW-FM is proven to be an effective solutions to reducing the rating error in recommendation systems. The proposed CW-FM is evaluated by extensive experiments with real world datasets. Results show that CW-FM model achieves better iterative efficiency and higher rating accuracy compared to contemporary schemes.","PeriodicalId":6464,"journal":{"name":"2015 IEEE International Conference on Communication Workshop (ICCW)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82370276","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 : 2015-06-08DOI: 10.1109/ICCW.2015.7247354
Reham Almesaeed, A. Ameen, A. Doufexi, A. Nix
Recently there has been strong interest in extending the MIMO signal processing from the azimuth dimension to include the elevation plane. Therefore a 3D channel model is required for an accurate evaluation of MIMO performance. The MIMO system can also be deployed at the user terminal according to the LTE-Advanced system specifications. Therefore, this study exploits the elevation dimension at the user equipment (UE) MIMO receiver and proposes an antenna switching strategy to achieve the highest performance among the MIMO spatial streams. This study is considered as one of the solutions toward boosting MIMO capacity and enhancing end user experience for 5G systems. The study considers different types of user handsets such as smartphone and tablet where different scenarios of antennas placements are implemented and different number of antennas elements are deployed. The consideration of the 3D component in the modelling of the MIMO channels results in performance differences in the MIMO system in terms of ergodic capacity and spatial correlation as the handset rotates. The paper suggests the best arrangement of antenna elements for the UE handset manufacturers to achieve the highest channel capacity when exploiting the elevation plane.
{"title":"Exploiting the elevation dimension of MIMO system for boosting handset capacity","authors":"Reham Almesaeed, A. Ameen, A. Doufexi, A. Nix","doi":"10.1109/ICCW.2015.7247354","DOIUrl":"https://doi.org/10.1109/ICCW.2015.7247354","url":null,"abstract":"Recently there has been strong interest in extending the MIMO signal processing from the azimuth dimension to include the elevation plane. Therefore a 3D channel model is required for an accurate evaluation of MIMO performance. The MIMO system can also be deployed at the user terminal according to the LTE-Advanced system specifications. Therefore, this study exploits the elevation dimension at the user equipment (UE) MIMO receiver and proposes an antenna switching strategy to achieve the highest performance among the MIMO spatial streams. This study is considered as one of the solutions toward boosting MIMO capacity and enhancing end user experience for 5G systems. The study considers different types of user handsets such as smartphone and tablet where different scenarios of antennas placements are implemented and different number of antennas elements are deployed. The consideration of the 3D component in the modelling of the MIMO channels results in performance differences in the MIMO system in terms of ergodic capacity and spatial correlation as the handset rotates. The paper suggests the best arrangement of antenna elements for the UE handset manufacturers to achieve the highest channel capacity when exploiting the elevation plane.","PeriodicalId":6464,"journal":{"name":"2015 IEEE International Conference on Communication Workshop (ICCW)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"81373993","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 : 2015-06-08DOI: 10.1109/ICCW.2015.7247207
H. Aoki, Junichi Nagano, N. Shinomiya
This paper proposes an architecture of layered control plane of OpenFlow networks managed by multiple controllers. Considering the logical network partitioning to decide administrative domains of controllers, this paper focuses on the relationship between the network partitioning and the amount of global network information shared among controllers. Then, this paper handles the issue as a mathematical problem based on graph clustering and analyzes effective network partitioning methods in reducing the amount of global network information.
{"title":"Layered control plane for reducing information sharing in OpenFlow networks","authors":"H. Aoki, Junichi Nagano, N. Shinomiya","doi":"10.1109/ICCW.2015.7247207","DOIUrl":"https://doi.org/10.1109/ICCW.2015.7247207","url":null,"abstract":"This paper proposes an architecture of layered control plane of OpenFlow networks managed by multiple controllers. Considering the logical network partitioning to decide administrative domains of controllers, this paper focuses on the relationship between the network partitioning and the amount of global network information shared among controllers. Then, this paper handles the issue as a mathematical problem based on graph clustering and analyzes effective network partitioning methods in reducing the amount of global network information.","PeriodicalId":6464,"journal":{"name":"2015 IEEE International Conference on Communication Workshop (ICCW)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"82244417","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 : 2015-06-08DOI: 10.1109/ICCW.2015.7247497
Changming Zhang, Zhenyu Xiao, L. Su, Lieguang Zeng, Depeng Jin
In the future super dense wireless networks, millimeter-wave (mmWave) communications systems have great prospects, mainly due to the huge bandwidths and the directional transmissions. However, phase noise is significant due to the high oscillation frequency, which affects channel estimation and deteriorates the bit-error-rate (BER) performance. This paper emphasizes that phase noise may be estimated in the frequency domain, and a scheme with iterative channel estimation and phase noise compensation is proposed for single-carrier frequency-domain equalization (SC-FDE) based mmWave systems. We achieve channel estimation by calculating small perturbations iteratively with the first-order approximation. For signal demodulation, we adopt an iterative receiver to compensate phase noise with the decision feedback result. Comprehensive simulations demonstrate that our scheme achieves competitive performance and outperforms the traditional methods, in terms of both mean square error (MSE) in channel estimation and BER in signal demodulation.
{"title":"Iterative channel estimation and phase noise compensation for SC-FDE based mmWave systems","authors":"Changming Zhang, Zhenyu Xiao, L. Su, Lieguang Zeng, Depeng Jin","doi":"10.1109/ICCW.2015.7247497","DOIUrl":"https://doi.org/10.1109/ICCW.2015.7247497","url":null,"abstract":"In the future super dense wireless networks, millimeter-wave (mmWave) communications systems have great prospects, mainly due to the huge bandwidths and the directional transmissions. However, phase noise is significant due to the high oscillation frequency, which affects channel estimation and deteriorates the bit-error-rate (BER) performance. This paper emphasizes that phase noise may be estimated in the frequency domain, and a scheme with iterative channel estimation and phase noise compensation is proposed for single-carrier frequency-domain equalization (SC-FDE) based mmWave systems. We achieve channel estimation by calculating small perturbations iteratively with the first-order approximation. For signal demodulation, we adopt an iterative receiver to compensate phase noise with the decision feedback result. Comprehensive simulations demonstrate that our scheme achieves competitive performance and outperforms the traditional methods, in terms of both mean square error (MSE) in channel estimation and BER in signal demodulation.","PeriodicalId":6464,"journal":{"name":"2015 IEEE International Conference on Communication Workshop (ICCW)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"78834978","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 : 2015-06-08DOI: 10.1109/ICCW.2015.7247411
L. Pierucci, R. Fantacci
In a hybrid satellite/terrestrial scenario, the paper analyzes the advantages of using a cooperative scheme combined with Multiple-Input Multiple-Output (MIMO) technologies at each cognitive radio (CR) node for spectrum sensing. In the proposed scenario, the satellite and the terrestrial components use the same band (primary users) and a group of secondary users (sensors or mobile users) want to dynamically share the spectrum without harmful interference on primary user (PU). The satellite can also report measures provided by the group of secondary users to a remote center in an area where the mobile coverage it is difficult to extend or for emergency situations. The joint use of multiple antennas at each CR node and cooperative cognitive radio scheme is analyzed to improve the performance of the conventional energy detector (ED) and to increase the reliability in PU detection. A coordination center (CC) takes the final decision based on the detections carried out by all the CRS. Moreover, the CC can manage a strategy to allow equal and fare share of the radio resources to the group of CR nodes. The use of improved energy detector based on the average power of received samples is also analyzed. Simulation results show that the use of cooperation and MIMO technologies improves the detection even at low value of signal to noise ratio (SNR) and a trade off-it is necessary among the number of multiple antennas, the number of samples and the spectrum usage efficiency and the level of interference on the PU.
{"title":"MIMO cooperative spectrum sensing in hybrid satellite/terrestrial scenario","authors":"L. Pierucci, R. Fantacci","doi":"10.1109/ICCW.2015.7247411","DOIUrl":"https://doi.org/10.1109/ICCW.2015.7247411","url":null,"abstract":"In a hybrid satellite/terrestrial scenario, the paper analyzes the advantages of using a cooperative scheme combined with Multiple-Input Multiple-Output (MIMO) technologies at each cognitive radio (CR) node for spectrum sensing. In the proposed scenario, the satellite and the terrestrial components use the same band (primary users) and a group of secondary users (sensors or mobile users) want to dynamically share the spectrum without harmful interference on primary user (PU). The satellite can also report measures provided by the group of secondary users to a remote center in an area where the mobile coverage it is difficult to extend or for emergency situations. The joint use of multiple antennas at each CR node and cooperative cognitive radio scheme is analyzed to improve the performance of the conventional energy detector (ED) and to increase the reliability in PU detection. A coordination center (CC) takes the final decision based on the detections carried out by all the CRS. Moreover, the CC can manage a strategy to allow equal and fare share of the radio resources to the group of CR nodes. The use of improved energy detector based on the average power of received samples is also analyzed. Simulation results show that the use of cooperation and MIMO technologies improves the detection even at low value of signal to noise ratio (SNR) and a trade off-it is necessary among the number of multiple antennas, the number of samples and the spectrum usage efficiency and the level of interference on the PU.","PeriodicalId":6464,"journal":{"name":"2015 IEEE International Conference on Communication Workshop (ICCW)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"75981717","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 : 2015-06-08DOI: 10.1109/ICCW.2015.7247560
Yaoyue Hu, Jing Liang, Guodong Zhao
Clustering performances by low energy adaptive clustering hierarchy (LEACH) and hybrid energy-efficient distributed clustering approach (HEED) are compared in radar sensor networks for the first time to the best of our knowledge. In the target detection performances, we also compare the constant threshold approach (CTH) with the constant false alarm rate (CFAR) approach for both LEACH and HEED. The optimal fusion rule is investigated based on fading channels. Monte Carlo simulations show that compared to LEACH, HEED not only prolongs the lifetime of ad-hoc RSN, but also improves target detection performances at moderate-to-high SNR for different CFARs.
{"title":"Detection performances in radar sensor networks using LEACH and HEED","authors":"Yaoyue Hu, Jing Liang, Guodong Zhao","doi":"10.1109/ICCW.2015.7247560","DOIUrl":"https://doi.org/10.1109/ICCW.2015.7247560","url":null,"abstract":"Clustering performances by low energy adaptive clustering hierarchy (LEACH) and hybrid energy-efficient distributed clustering approach (HEED) are compared in radar sensor networks for the first time to the best of our knowledge. In the target detection performances, we also compare the constant threshold approach (CTH) with the constant false alarm rate (CFAR) approach for both LEACH and HEED. The optimal fusion rule is investigated based on fading channels. Monte Carlo simulations show that compared to LEACH, HEED not only prolongs the lifetime of ad-hoc RSN, but also improves target detection performances at moderate-to-high SNR for different CFARs.","PeriodicalId":6464,"journal":{"name":"2015 IEEE International Conference on Communication Workshop (ICCW)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"86905556","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 : 2015-06-08DOI: 10.1109/ICCW.2015.7247557
Fangmin Xu, Rong Li, Cheng-lin Zhao, Haipeng Yao, Jundong Zhang
Underwater Acoustic Sensor Network (UASN) is the enabling technology for a wide range of applications including naval surveillance, oil platform monitoring, earthquake forewarning, climate and ocean observation, and water pollution tracking. However, considering the enormous acoustic sensor devices and unique services of UASN, some challenges are emerging to the traditional cellular access and core networks, especially the congestion problem due to simultaneously MTC traffic and signaling. Following this paradigm, the purpose of this paper is to support and optimize the signaling aggregation of UASN services based on cellular network. Taking LTE network as the example access network, a congestion-aware signaling aggregation scheme is designed considering the various requirements of UASN services and the congestion situation in the network entity. Theoretical analysis and experimental simulations show that this scheme can improve the system efficiency and greatly alleviate the signaling congestion, especially for the emergency UASN service.
{"title":"Congestion-aware signaling aggregation scheme for cellular based Underwater Acoustic Sensor Network","authors":"Fangmin Xu, Rong Li, Cheng-lin Zhao, Haipeng Yao, Jundong Zhang","doi":"10.1109/ICCW.2015.7247557","DOIUrl":"https://doi.org/10.1109/ICCW.2015.7247557","url":null,"abstract":"Underwater Acoustic Sensor Network (UASN) is the enabling technology for a wide range of applications including naval surveillance, oil platform monitoring, earthquake forewarning, climate and ocean observation, and water pollution tracking. However, considering the enormous acoustic sensor devices and unique services of UASN, some challenges are emerging to the traditional cellular access and core networks, especially the congestion problem due to simultaneously MTC traffic and signaling. Following this paradigm, the purpose of this paper is to support and optimize the signaling aggregation of UASN services based on cellular network. Taking LTE network as the example access network, a congestion-aware signaling aggregation scheme is designed considering the various requirements of UASN services and the congestion situation in the network entity. Theoretical analysis and experimental simulations show that this scheme can improve the system efficiency and greatly alleviate the signaling congestion, especially for the emergency UASN service.","PeriodicalId":6464,"journal":{"name":"2015 IEEE International Conference on Communication Workshop (ICCW)","volume":null,"pages":null},"PeriodicalIF":0.0,"publicationDate":"2015-06-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"87956492","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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