- 标题
- 摘要
- 关键词
- 实验方案
- 产品
-
[IEEE 2019 IEEE 21st Electronics Packaging Technology Conference (EPTC) - Singapore, Singapore (2019.12.4-2019.12.6)] 2019 IEEE 21st Electronics Packaging Technology Conference (EPTC) - An LTCC Based H-Antenna Aperture Coupled to an On-Chip Antenna for 2.4 GHz Long Range Transmitters
摘要： The latest trends in spectrum trading allow secondary users (SUs) to employ hybrid access models and exploit bandwidth employing either opportunistic spectrum access or exclusive spectrum access of vacant frequency bands (FBs) leased for exclusive usage. In this paper, the spectrum trading problem is addressed in an operational framework, where a primary spectrum owner (PSO) allocates specific FBs to a number of primary users (PUs) and at the same time allows SUs belonging to multiple service classes to operate opportunistically in a part of the spectrum primarily allocated to the PU operation. By offering exclusive bandwidth-price contracts to SUs in FBs, which are excluded from the PU access, the PSO expects additional revenue. In this framework, the PSO aims at maximizing its revenue through optimal contract design that considers the multiple SU service classes, about which the PSO may have at its disposal either complete or incomplete information. In the first case, it is proven that only one type of contract destined for the highest SU service class is profitable to the PSO. In the second case, two heuristic algorithms are proposed for the optimal contract design corresponding to offering a single contract or multiple contracts to various service classes. The simulation results for the complete and incomplete information cases have been examined with regard to the SU service classes and the number and transmission specifications of the PUs. The two proposed algorithms manage to address the incomplete information case and be close to the optimal values obtained when complete information is available. Finally, the social welfare, as the aggregate expected utility of all parties involved, is examined.
关键词： spectrum trading,cognitive radio,Dynamic spectrum access,contract theory,hybrid spectrum access
更新于2025-09-23 15:21:01
-
[IEEE 2018 IEEE 8th International Conference Nanomaterials: Application & Properties (NAP) - Zatoka, Ukraine (2018.9.9-2018.9.14)] 2018 IEEE 8th International Conference Nanomaterials: Application & Properties (NAP) - Optical and Thermal Analysis of PVB Encapsulant Polymer Functionalized with Luminescent Organic Dye as Emerging Material for Photovoltaic Application
摘要： Wireless sensor networks (WSNs) can utilize the unlicensed industrial, scienti?c, and medical (ISM) band to communicate the sensed data. The ISM band has been already saturated due to the overlaid deployment of WSNs. To solve this problem, WSNs have been powered up by cognitive radio (CR) capability. By using CR capability, WSNs can utilize the spectrum holes opportunistically. The sensor nodes, which need large bandwidth to transmit their sensed data from source to destination require some scheme, which should be able to provide them a wide band channel whenever required. Channel bonding (CB) is a technique through which multiple contiguous channels can be combined to form a single wide band channel. By using CB technique, CR-based WSN nodes attempt to ?nd and combine contiguous channels to avail larger bandwidth. In this paper, we show that by increasing the number of channels, the probability of ?nding contiguous channels decreases. Moreover, we then propose a primary-radio (PR) user-activity-aware CB algorithm and compare it with three state-of-the-art schemes: SWA, KNOWS, and AGILE. It has been demonstrated through extensive NS-2 simulations that intelligent CB decisions can reduce harmful interference to PR nodes. We ?nd that CB in CR sensor networks attempts to provide greater bandwidth and utilizes the spectrum effectively.
关键词： cognitive radio,dynamic spectrum access,wireless sensor networks,Channel bonding
更新于2025-09-23 15:21:01
-
[IEEE 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) - Sydney, Australia (2018.11.10-2018.11.17)] 2018 IEEE Nuclear Science Symposium and Medical Imaging Conference Proceedings (NSS/MIC) - A Laser-based Time Calibration System for the MEG II Timing Counter
摘要： Wireless sensor networks (WSNs) can utilize the unlicensed industrial, scientific, and medical (ISM) band to communicate the sensed data. The ISM band has been already saturated due to the overlaid deployment of WSNs. To solve this problem, WSNs have been powered up by cognitive radio (CR) capability. By using CR capability, WSNs can utilize the spectrum holes opportunistically. The sensor nodes, which need large bandwidth to transmit their sensed data from source to destination require some scheme, which should be able to provide them a wide band channel whenever required. Channel bonding (CB) is a technique through which multiple contiguous channels can be combined to form a single wide band channel. By using CB technique, CR-based WSN nodes attempt to find and combine contiguous channels to avail larger bandwidth. In this paper, we show that by increasing the number of channels, the probability of finding contiguous channels decreases. Moreover, we then propose a primary-radio (PR) user-activity-aware CB algorithm and compare it with three state-of-the-art schemes: SWA, KNOWS, and AGILE. It has been demonstrated through extensive NS-2 simulations that intelligent CB decisions can reduce harmful interference to PR nodes. We find that CB in CR sensor networks attempts to provide greater bandwidth and utilizes the spectrum effectively.
关键词： cognitive radio,dynamic spectrum access,Channel bonding,wireless sensor networks
更新于2025-09-23 15:19:57
-
[IEEE 2019 26th International Workshop on Active-Matrix Flatpanel Displays and Devices (AM-FPD) - Kyoto, Japan (2019.7.2-2019.7.5)] 2019 26th International Workshop on Active-Matrix Flatpanel Displays and Devices (AM-FPD) - How to use Synchrotron Soft X-Ray for Analysis of Perovskite Solar Cell
摘要： Wireless sensor networks (WSNs) can utilize the unlicensed industrial, scientific, and medical (ISM) band to communicate the sensed data. The ISM band has been already saturated due to the overlaid deployment of WSNs. To solve this problem, WSNs have been powered up by cognitive radio (CR) capability. By using CR capability, WSNs can utilize the spectrum holes opportunistically. The sensor nodes, which need large bandwidth to transmit their sensed data from source to destination require some scheme, which should be able to provide them a wide band channel whenever required. Channel bonding (CB) is a technique through which multiple contiguous channels can be combined to form a single wide band channel. By using CB technique, CR-based WSN nodes attempt to find and combine contiguous channels to avail larger bandwidth. In this paper, we show that by increasing the number of channels, the probability of finding contiguous channels decreases. Moreover, we then propose a primary-radio (PR) user-activity-aware CB algorithm and compare it with three state-of-the-art schemes: SWA, KNOWS, and AGILE. It has been demonstrated through extensive NS-2 simulations that intelligent CB decisions can reduce harmful interference to PR nodes. We find that CB in CR sensor networks attempts to provide greater bandwidth and utilizes the spectrum effectively.
关键词： cognitive radio,dynamic spectrum access,Channel bonding,wireless sensor networks
更新于2025-09-23 15:19:57
-
[IEEE 2019 International Conference on Electromechanical and Energy Systems (SIELMEN) - Craiova, Romania (2019.10.9-2019.10.11)] 2019 International Conference on Electromechanical and Energy Systems (SIELMEN) - The Photovoltaic Greenhouses - a Challenge for Republic of Moldova
摘要： The latest trends in spectrum trading allow secondary users (SUs) to employ hybrid access models and exploit bandwidth employing either opportunistic spectrum access or exclusive spectrum access of vacant frequency bands (FBs) leased for exclusive usage. In this paper, the spectrum trading problem is addressed in an operational framework, where a primary spectrum owner (PSO) allocates specific FBs to a number of primary users (PUs) and at the same time allows SUs belonging to multiple service classes to operate opportunistically in a part of the spectrum primarily allocated to the PU operation. By offering exclusive bandwidth-price contracts to SUs in FBs, which are excluded from the PU access, the PSO expects additional revenue. In this framework, the PSO aims at maximizing its revenue through optimal contract design that considers the multiple SU service classes, about which the PSO may have at its disposal either complete or incomplete information. In the first case, it is proven that only one type of contract destined for the highest SU service class is profitable to the PSO. In the second case, two heuristic algorithms are proposed for the optimal contract design corresponding to offering a single contract or multiple contracts to various service classes. The simulation results for the complete and incomplete information cases have been examined with regard to the SU service classes and the number and transmission specifications of the PUs. The two proposed algorithms manage to address the incomplete information case and be close to the optimal values obtained when complete information is available. Finally, the social welfare, as the aggregate expected utility of all parties involved, is examined.
关键词： hybrid spectrum access,spectrum trading,cognitive radio,Dynamic spectrum access,contract theory
更新于2025-09-19 17:13:59
-
[IEEE 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Chicago, IL, USA (2019.6.16-2019.6.21)] 2019 IEEE 46th Photovoltaic Specialists Conference (PVSC) - Effect of Low-Intensity-Low-Temperature and High Radiation conditions on Flexible Cu(In,Ga)Se <sub/>2</sub> Solar Cells
摘要： The latest trends in spectrum trading allow secondary users (SUs) to employ hybrid access models and exploit bandwidth employing either opportunistic spectrum access or exclusive spectrum access of vacant frequency bands (FBs) leased for exclusive usage. In this paper, the spectrum trading problem is addressed in an operational framework, where a primary spectrum owner (PSO) allocates specific FBs to a number of primary users (PUs) and at the same time allows SUs belonging to multiple service classes to operate opportunistically in a part of the spectrum primarily allocated to the PU operation. By offering exclusive bandwidth-price contracts to SUs in FBs, which are excluded from the PU access, the PSO expects additional revenue. In this framework, the PSO aims at maximizing its revenue through optimal contract design that considers the multiple SU service classes, about which the PSO may have at its disposal either complete or incomplete information. In the first case, it is proven that only one type of contract destined for the highest SU service class is profitable to the PSO. In the second case, two heuristic algorithms are proposed for the optimal contract design corresponding to offering a single contract or multiple contracts to various service classes. The simulation results for the complete and incomplete information cases have been examined with regard to the SU service classes and the number and transmission specifications of the PUs. The two proposed algorithms manage to address the incomplete information case and be close to the optimal values obtained when complete information is available. Finally, the social welfare, as the aggregate expected utility of all parties involved, is examined.
关键词： spectrum trading,cognitive radio,Dynamic spectrum access,contract theory,hybrid spectrum access
更新于2025-09-16 10:30:52