Pub Date : 2016-06-04DOI: 10.1109/ICCSN.2016.7587204
Heng Fan, Zhongmin Chen
To solve the problem of low accuracy in real-time localization in indoor environment, we propose a novel localization algorithm with Multiple Kernel Learning (MKL). In our work, the indoor localization is viewed as multiple classification. First we select some reference nodes in the indoor area, and measure the WiFi signal strength of reference nodes for multiple times to construct the classifiers based on multiple kernel learning. When the object enters into the location area, we measure its WiFi signal strength and input it into classifiers to discriminate its label. According to the classification result, the location of the object can be estimated. Experimental results demonstrate that our algorithm is able to effectively locate the object in indoor environment.
{"title":"WiFi based indoor localization with multiple kernel learning","authors":"Heng Fan, Zhongmin Chen","doi":"10.1109/ICCSN.2016.7587204","DOIUrl":"https://doi.org/10.1109/ICCSN.2016.7587204","url":null,"abstract":"To solve the problem of low accuracy in real-time localization in indoor environment, we propose a novel localization algorithm with Multiple Kernel Learning (MKL). In our work, the indoor localization is viewed as multiple classification. First we select some reference nodes in the indoor area, and measure the WiFi signal strength of reference nodes for multiple times to construct the classifiers based on multiple kernel learning. When the object enters into the location area, we measure its WiFi signal strength and input it into classifiers to discriminate its label. According to the classification result, the location of the object can be estimated. Experimental results demonstrate that our algorithm is able to effectively locate the object in indoor environment.","PeriodicalId":158877,"journal":{"name":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","volume":"122 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127979426","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 : 2016-06-04DOI: 10.1109/ICCSN.2016.7586576
Yuanhong Huo, Dake Liu
VLSI (Very Large-Scale Integration) designs for communication coding and decoding should, in general, provide high throughput, achieve low computing latency, occupy low silicon cost, and handle multiple bit manipulation algorithms. Application-Specific Instruction-set Processor (ASIP) is an optimized solution to fulfill all these requirements. This paper presents an ASIP for Cyclic Redundancy Check, Reed-Solomon, and basic bit manipulation operations. The processor is obtained via hardware/software co-design methodology and adopts single instruction multiple data architecture. The proposed design occupies 0.71mm2 (190 kgates) in 65nm CMOS process including 34.5KB single port memory and 45 kgates logic. The throughput of the proposed design reaches 128Gb/s, 8Gb/s, and 128Gb/s for basic bit manipulation operations, RS (255,239) decoding, and CRC calculation, respectively under the clock frequency of 1.0GHz. The proposed design is evaluated with state-of-the-art VLSI designs, which reveals its high performance, low silicon cost, and full programmability.
{"title":"Parallel bit manipulation processor for communication coding and decoding","authors":"Yuanhong Huo, Dake Liu","doi":"10.1109/ICCSN.2016.7586576","DOIUrl":"https://doi.org/10.1109/ICCSN.2016.7586576","url":null,"abstract":"VLSI (Very Large-Scale Integration) designs for communication coding and decoding should, in general, provide high throughput, achieve low computing latency, occupy low silicon cost, and handle multiple bit manipulation algorithms. Application-Specific Instruction-set Processor (ASIP) is an optimized solution to fulfill all these requirements. This paper presents an ASIP for Cyclic Redundancy Check, Reed-Solomon, and basic bit manipulation operations. The processor is obtained via hardware/software co-design methodology and adopts single instruction multiple data architecture. The proposed design occupies 0.71mm2 (190 kgates) in 65nm CMOS process including 34.5KB single port memory and 45 kgates logic. The throughput of the proposed design reaches 128Gb/s, 8Gb/s, and 128Gb/s for basic bit manipulation operations, RS (255,239) decoding, and CRC calculation, respectively under the clock frequency of 1.0GHz. The proposed design is evaluated with state-of-the-art VLSI designs, which reveals its high performance, low silicon cost, and full programmability.","PeriodicalId":158877,"journal":{"name":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","volume":"13 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127985811","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 : 2016-06-04DOI: 10.1109/ICCSN.2016.7586611
E. N. Mambou, G. M. Yamga, J. Meyer, H. Ferreira
This paper describes the implementation of a helium gas balloon flying system equipped with a camera and tracking subsystem for aerial photography. This is partially the results of a successful project conducted in November 2012 by a group of electrical and electronic students from the University of Johannesburg. The goal of this project was to take aerial pictures at the highest possible altitude above the sea level from the flying system while tracking its position in real-time. The solution proposed was based on a low cost unmanned system for a reliable and optimal aerial observation and tracking, suitable for start-ups companies or research groups.
{"title":"Development of a helium gas balloon flying system for aerial photographing and observation","authors":"E. N. Mambou, G. M. Yamga, J. Meyer, H. Ferreira","doi":"10.1109/ICCSN.2016.7586611","DOIUrl":"https://doi.org/10.1109/ICCSN.2016.7586611","url":null,"abstract":"This paper describes the implementation of a helium gas balloon flying system equipped with a camera and tracking subsystem for aerial photography. This is partially the results of a successful project conducted in November 2012 by a group of electrical and electronic students from the University of Johannesburg. The goal of this project was to take aerial pictures at the highest possible altitude above the sea level from the flying system while tracking its position in real-time. The solution proposed was based on a low cost unmanned system for a reliable and optimal aerial observation and tracking, suitable for start-ups companies or research groups.","PeriodicalId":158877,"journal":{"name":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131064585","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 : 2016-06-04DOI: 10.1109/ICCSN.2016.7586657
Ting Yi, Ming Che, He Li
In recent years, natural disasters and environmental pollution events occur frequently and seriously threaten people's lives and property. The first step of disaster prevention and mitigation is obtaining the monitoring data of disaster situation. Currently, there are two main problems in transferring monitoring data, one is that disaster monitoring sensors are always located in remote, which are hard to access the Internet to send and receive data effectively; the other is that when major natural disasters occurs, traditional communication network, like GSM, GPRS or Internet could not provide a reliable data transmission link or even totally failed. And our studies aimed to design and implement an embedded heterogeneous communication network router (EHCNR), which integrated three communication techniques: Ethernet, the third-generation telecommunication (3G) and the short message service (SMS) of BeiDou Navigation Satellite System (BDS). Based on EHCNR, we built communication mechanism to achieve the efficient and reliable transmission of disaster monitoring data. Environmental information monitored in our study was gathered by special designed sensors. All of the monitoring data would finally be transmitted to central data warehouse server (CDWS) and stored in database. In addition, we defined transmission priority for the three heterogeneous communication networks in the protocol layer of EHCNR, and realized the device-to-device (D2D) communication in 3G network crossing different telecom operators; also we designed and implemented the data transmission through SMS of BDS. Finally, we did experiments based on EHCNR under complicated conditions, and the test results were reliable and efficient.
{"title":"Design and implementation of reliable data transmission system for emergency communications based on 3G and BeiDou Navigation Satellite","authors":"Ting Yi, Ming Che, He Li","doi":"10.1109/ICCSN.2016.7586657","DOIUrl":"https://doi.org/10.1109/ICCSN.2016.7586657","url":null,"abstract":"In recent years, natural disasters and environmental pollution events occur frequently and seriously threaten people's lives and property. The first step of disaster prevention and mitigation is obtaining the monitoring data of disaster situation. Currently, there are two main problems in transferring monitoring data, one is that disaster monitoring sensors are always located in remote, which are hard to access the Internet to send and receive data effectively; the other is that when major natural disasters occurs, traditional communication network, like GSM, GPRS or Internet could not provide a reliable data transmission link or even totally failed. And our studies aimed to design and implement an embedded heterogeneous communication network router (EHCNR), which integrated three communication techniques: Ethernet, the third-generation telecommunication (3G) and the short message service (SMS) of BeiDou Navigation Satellite System (BDS). Based on EHCNR, we built communication mechanism to achieve the efficient and reliable transmission of disaster monitoring data. Environmental information monitored in our study was gathered by special designed sensors. All of the monitoring data would finally be transmitted to central data warehouse server (CDWS) and stored in database. In addition, we defined transmission priority for the three heterogeneous communication networks in the protocol layer of EHCNR, and realized the device-to-device (D2D) communication in 3G network crossing different telecom operators; also we designed and implemented the data transmission through SMS of BDS. Finally, we did experiments based on EHCNR under complicated conditions, and the test results were reliable and efficient.","PeriodicalId":158877,"journal":{"name":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115660427","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 : 2016-06-04DOI: 10.1109/ICCSN.2016.7586604
Shi Guiming, Suo Jidong
The edge details of the remote sensing image is key for the target detection with complex background. Traditional Canny detection operator requires human intervention, does not have the adaptive ability in the variance of Gaussian filtering and the threshold. Compound morphological smoothing replaces Gaussian filtering, can not only maintain the edge information, but also reduce noise impact. Then Otsu method can specify the threshold adaptively, the edge detected is more continuous, and can decrease the false edges. In order to extract the edges of the remote sensing image proposed an approach based on Canny edge detection operator. Finally, we refine the edge by using morphological structure element. The experimental results show that the improved Canny algorithm has a good anti-noise function and precision on image processing of remote sensing.
{"title":"Remote sensing image edge-detection based on improved Canny operator","authors":"Shi Guiming, Suo Jidong","doi":"10.1109/ICCSN.2016.7586604","DOIUrl":"https://doi.org/10.1109/ICCSN.2016.7586604","url":null,"abstract":"The edge details of the remote sensing image is key for the target detection with complex background. Traditional Canny detection operator requires human intervention, does not have the adaptive ability in the variance of Gaussian filtering and the threshold. Compound morphological smoothing replaces Gaussian filtering, can not only maintain the edge information, but also reduce noise impact. Then Otsu method can specify the threshold adaptively, the edge detected is more continuous, and can decrease the false edges. In order to extract the edges of the remote sensing image proposed an approach based on Canny edge detection operator. Finally, we refine the edge by using morphological structure element. The experimental results show that the improved Canny algorithm has a good anti-noise function and precision on image processing of remote sensing.","PeriodicalId":158877,"journal":{"name":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","volume":"14 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128843375","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 : 2016-06-04DOI: 10.1109/ICCSN.2016.7586685
Zhe Li, Yueyun Chen, Zhiyuan Mai
The paper investigates the energy efficiency of the 3D MIMO systems with Orthogonal Frequency Division Multiple-Access (OFDMA). In 3D MIMO-OFDMA communication systems, cellular users' specific downtilt angles are exploited through dynamic vertical beamforming. The objective of our proposed optimization problem is jointly concerning resource block assignment, power allocation and downtilt angles adjustment to maximize the energy efficiency measured by the metric of “bits-per-Joule”. We prove that the energy-efficient optimization problem can be transformed into an equivalent form which can be solved by an iterative algorithm. With the Lagrange dual method utilized in each iteration, we can obtain the closed-form solution. Simulation results validate that our proposed energy-efficient resource allocation algorithm outperforms the traditional algorithm in two-dimensional (2D) MIMO systems without considering the user's specific downtilt angle.
{"title":"Energy-efficient resource allocation with 3D beamforming in 3D MIMO-OFDMA systems","authors":"Zhe Li, Yueyun Chen, Zhiyuan Mai","doi":"10.1109/ICCSN.2016.7586685","DOIUrl":"https://doi.org/10.1109/ICCSN.2016.7586685","url":null,"abstract":"The paper investigates the energy efficiency of the 3D MIMO systems with Orthogonal Frequency Division Multiple-Access (OFDMA). In 3D MIMO-OFDMA communication systems, cellular users' specific downtilt angles are exploited through dynamic vertical beamforming. The objective of our proposed optimization problem is jointly concerning resource block assignment, power allocation and downtilt angles adjustment to maximize the energy efficiency measured by the metric of “bits-per-Joule”. We prove that the energy-efficient optimization problem can be transformed into an equivalent form which can be solved by an iterative algorithm. With the Lagrange dual method utilized in each iteration, we can obtain the closed-form solution. Simulation results validate that our proposed energy-efficient resource allocation algorithm outperforms the traditional algorithm in two-dimensional (2D) MIMO systems without considering the user's specific downtilt angle.","PeriodicalId":158877,"journal":{"name":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","volume":"169 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121725353","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 : 2016-06-04DOI: 10.1109/ICCSN.2016.7586635
Yao Haitao, Xu Ji, Liu Jian
This Cross-lingual knowledge sharing based acoustic modeling methods are usually used in Automatic Speech Recognition (ASR) of languages which do not have enough transcribed speech for acoustic model (AM) training. Conventional methods such as IPA based universal acoustic modeling have been proved to be effective under matched acoustic conditions, while usually poorly preformed when mismatch appears between the target language and the source languages. This paper proposes a method of multi-lingual unsupervised AM training for zero-resourced languages under mismatch conditions. The proposed method includes two main steps. In the first step, initial AM of the target low-resourced language was obtained using multi-task training method, in which original source language data and mapped source language data are jointly used. In the second step, AM of the target language is trained using automatically transcribed target language data, in the way of iteratively training new AMs and adapting the initial AMs. Experiments were conducted on a corpus with 100 hours untranscribed Japanese speech and 300 hours transcribed speech of other languages. The best result achieved by this paper is 51.75% character error rate (CER), which obtains 24.78% absolute reduction compared to baseline IPA system.
{"title":"Multi-lingual unsupervised acoustic modeling using multi-task deep neural network under mismatch conditions","authors":"Yao Haitao, Xu Ji, Liu Jian","doi":"10.1109/ICCSN.2016.7586635","DOIUrl":"https://doi.org/10.1109/ICCSN.2016.7586635","url":null,"abstract":"This Cross-lingual knowledge sharing based acoustic modeling methods are usually used in Automatic Speech Recognition (ASR) of languages which do not have enough transcribed speech for acoustic model (AM) training. Conventional methods such as IPA based universal acoustic modeling have been proved to be effective under matched acoustic conditions, while usually poorly preformed when mismatch appears between the target language and the source languages. This paper proposes a method of multi-lingual unsupervised AM training for zero-resourced languages under mismatch conditions. The proposed method includes two main steps. In the first step, initial AM of the target low-resourced language was obtained using multi-task training method, in which original source language data and mapped source language data are jointly used. In the second step, AM of the target language is trained using automatically transcribed target language data, in the way of iteratively training new AMs and adapting the initial AMs. Experiments were conducted on a corpus with 100 hours untranscribed Japanese speech and 300 hours transcribed speech of other languages. The best result achieved by this paper is 51.75% character error rate (CER), which obtains 24.78% absolute reduction compared to baseline IPA system.","PeriodicalId":158877,"journal":{"name":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121912359","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 : 2016-06-04DOI: 10.1109/ICCSN.2016.7587200
Tanveer Ahmad, Xue Jun Li, Boon-Chong Seet
A self-calibrated centroid localization algorithm is presented for wireless sensor networks based on IEEE 802.15.4 radio standard. Beside common issues in ranging accuracy using either received signal strength (RSSI) or link quality (LQI), it is challenging to cope with the fast changing environments. Although good accuracy has been achieved with methods such as Weighted Maximum Likelihood Estimation (WMLE) and Weighted Centroid Localization (WCL), these methods assume that environmental parameters, such as antenna gain, humidity, temperature, metallic surfaces, radio interference and other objects in the neighborhood remain constant over the localization period. To improve accuracy in a practical system where environment is continuously changing, the Self-Calibrating Centroid Localization (SCCL) algorithm is introduced in this paper. Simulation shows that SCCL can reduce the localization error by 65% as compared to WCL.
提出了一种基于IEEE 802.15.4无线标准的无线传感器网络自校准质心定位算法。除了使用接收信号强度(RSSI)或链路质量(LQI)测距精度的常见问题外，应对快速变化的环境也是一项挑战。虽然加权最大似然估计(Weighted Maximum Likelihood Estimation, WMLE)和加权质心定位(Weighted Centroid Localization, WCL)等方法已经取得了很好的精度，但这些方法都假定环境参数，如天线增益、湿度、温度、金属表面、无线电干扰和附近其他物体在定位期间保持不变。为了提高环境不断变化的实际系统的定位精度，本文介绍了自标定质心定位(SCCL)算法。仿真结果表明，与WCL相比，SCCL可将定位误差降低65%。
{"title":"A self-calibrated centroid localization algorithm for indoor ZigBee WSNs","authors":"Tanveer Ahmad, Xue Jun Li, Boon-Chong Seet","doi":"10.1109/ICCSN.2016.7587200","DOIUrl":"https://doi.org/10.1109/ICCSN.2016.7587200","url":null,"abstract":"A self-calibrated centroid localization algorithm is presented for wireless sensor networks based on IEEE 802.15.4 radio standard. Beside common issues in ranging accuracy using either received signal strength (RSSI) or link quality (LQI), it is challenging to cope with the fast changing environments. Although good accuracy has been achieved with methods such as Weighted Maximum Likelihood Estimation (WMLE) and Weighted Centroid Localization (WCL), these methods assume that environmental parameters, such as antenna gain, humidity, temperature, metallic surfaces, radio interference and other objects in the neighborhood remain constant over the localization period. To improve accuracy in a practical system where environment is continuously changing, the Self-Calibrating Centroid Localization (SCCL) algorithm is introduced in this paper. Simulation shows that SCCL can reduce the localization error by 65% as compared to WCL.","PeriodicalId":158877,"journal":{"name":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","volume":"110 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124163264","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 : 2016-06-04DOI: 10.1109/ICCSN.2016.7586669
A. Muzahid, K. Ingrid, S. Raton Mondol, Y. Zhou
Acoustic Echo Cancellation (AEC) is employed in hands-free communication systems to enhance communication experience. Double-Talk Detection (DTD) plays a vital role in AEC to distinguish the far-end and near-end signals and its failure will cause the system divergence. An efficient new DTD algorithm based on the joint signal energy and cross-correlation estimation techniques is proposed in this paper to reduce the DTD faults. The proposed algorithm can provide fast DTD and enhanced system performance without increasing much more computational complexity over the conventional techniques. Simulation results show the performance improvement achieved by the proposed technique.
{"title":"Advanced double-talk detection algorithm based on joint signal energy and cross-correlation estimation","authors":"A. Muzahid, K. Ingrid, S. Raton Mondol, Y. Zhou","doi":"10.1109/ICCSN.2016.7586669","DOIUrl":"https://doi.org/10.1109/ICCSN.2016.7586669","url":null,"abstract":"Acoustic Echo Cancellation (AEC) is employed in hands-free communication systems to enhance communication experience. Double-Talk Detection (DTD) plays a vital role in AEC to distinguish the far-end and near-end signals and its failure will cause the system divergence. An efficient new DTD algorithm based on the joint signal energy and cross-correlation estimation techniques is proposed in this paper to reduce the DTD faults. The proposed algorithm can provide fast DTD and enhanced system performance without increasing much more computational complexity over the conventional techniques. Simulation results show the performance improvement achieved by the proposed technique.","PeriodicalId":158877,"journal":{"name":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","volume":"27 20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129100682","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 : 2016-06-04DOI: 10.1109/ICCSN.2016.7586640
Jie He, Kun Xiao
The performance of Orthogonal Space-Time Block Codes (OSTBC) for Multiple-Input Multiple-Output (MIMO) systems employing M-QAM transmission is investigated over independent but not necessarily identically distributed (i.n.i.d.) generalized-K fading channels with arbitrary real-valued k and m. Before this, the i.n.i.d. generalized-K fading channel has never been considered for the OSTBC-MIMO systems. Especially, the effects of the shaping parameter k on the OSTBC-MIMO system performance are unknown. Specifically, we investigate mainly the significance of the shaping parameter k on the OSTBC-MIMO system performance in terms of the average Symbol Error Probability (SEP) and Shannon capacity. By establishing the system model, the Probability Density Function (PDF) of the equivalent Signal to Noise Ratio (SNR) is derived. Then, the closed-form expressions of such performance metrics are obtained successively. Finally, Numerical results prove that the derived expressions are validated via a set of Monte-Carlo simulations and the implications of the shaping parameter k on the overall performance are highlighted.
{"title":"Performance analysis of OSTBC-MIMO systems employing M-QAM transmission over independent but not necessarily identical generalized-K fading channels","authors":"Jie He, Kun Xiao","doi":"10.1109/ICCSN.2016.7586640","DOIUrl":"https://doi.org/10.1109/ICCSN.2016.7586640","url":null,"abstract":"The performance of Orthogonal Space-Time Block Codes (OSTBC) for Multiple-Input Multiple-Output (MIMO) systems employing M-QAM transmission is investigated over independent but not necessarily identically distributed (i.n.i.d.) generalized-K fading channels with arbitrary real-valued k and m. Before this, the i.n.i.d. generalized-K fading channel has never been considered for the OSTBC-MIMO systems. Especially, the effects of the shaping parameter k on the OSTBC-MIMO system performance are unknown. Specifically, we investigate mainly the significance of the shaping parameter k on the OSTBC-MIMO system performance in terms of the average Symbol Error Probability (SEP) and Shannon capacity. By establishing the system model, the Probability Density Function (PDF) of the equivalent Signal to Noise Ratio (SNR) is derived. Then, the closed-form expressions of such performance metrics are obtained successively. Finally, Numerical results prove that the derived expressions are validated via a set of Monte-Carlo simulations and the implications of the shaping parameter k on the overall performance are highlighted.","PeriodicalId":158877,"journal":{"name":"2016 8th IEEE International Conference on Communication Software and Networks (ICCSN)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-06-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132728394","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}
京公网安备 11010802042870号
京ICP备2023020795号-1
扫码关注我们
求助内容：
应助结果提醒方式：