The Experts below are selected from a list of 1089 Experts worldwide ranked by ideXlab platform
Meghana Bande - One of the best experts on this subject based on the ideXlab platform.
-
ICCCN - Design of a Heterogeneous Cellular Network with a Wireless Backhaul
2017 26th International Conference on Computer Communication and Networks (ICCCN), 2017Co-Authors: Meghana Bande, Venugopal V. VeeravalliAbstract:The downlink of a two-Layered heterogeneous hexag- onal cellular network is studied with macro base stations (MB), small cell base stations (SB) that act as half duplex analog relays, and mobile terminals (MT). The first Layer is a point- to-multipoint wireless backhaul between macro base stations and small cell base stations, and the second Layer is the Transmission Layer between SBs and MTs. The wireless backhaul Layer and the Transmission Layer use the same time/frequency resources for communication. The degrees of freedom (DoF) metric is used to characterize the capacity of the network at high signal to noise ratio (SNR). The maximum achievable per user DoF in the system is equal to half, due to the half-duplex nature of the SBs. The proposed schemes are simple zero forcing schemes that employ joint processing and achieve cooperation without overloading the wireless backhaul. This is achieved by sending an appropriate linear combination from the MBs that zero force (ZF) interference at the MTs directly. The achievable schemes exploit the half duplexity of the SBs in the system and schedule the SBs and MTs to be active in different time- slots in a smart manner to reduce interference. The optimal per user DoF of half can be approached in the hexagonal sectored cellular network using only zero forcing schemes, without the use of interference alignment.
-
DoF analysis in a two-Layered heterogeneous wireless interference network
2017 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2017Co-Authors: Meghana Bande, Venugopal V. Veeravalli, Antti Tölli, Markku JunttiAbstract:Degrees of freedom (DoF) is studied in the downlink of a heterogenous wireless network modeled as a two-Layered interference network. The first Layer of the interference network is the backhaul Layer between macro base stations (MBs) and small cell base stations (SBs), which is modeled as a Wyner type linear network. The second Layer is the Transmission Layer between SBs and mobile terminals (MTs), which is modeled as a linear Wyner LT network. The SBs are assumed to be half-duplex, thus restricting the per user degrees of freedom (puDoF) in the system to 1/2. It is established that the optimal puDoF of 1/2 can be achieved in the linear network with sufficient number of antennas using only interference avoidance schemes. For the case of higher connectivity in the Transmission Layer, it is shown that the optimal puDoF is achieved by sending an appropriate linear combination to the SB to zero-force interference at the intended user. These results are also extended to a more realistic hexagonal cellular model.
-
ICASSP - DoF analysis in a two-Layered heterogeneous wireless interference network
2017 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2017Co-Authors: Meghana Bande, Venugopal V. Veeravalli, Antti Tölli, Markku JunttiAbstract:Degrees of freedom (DoF) is studied in the downlink of a heterogenous wireless network modeled as a two-Layered interference network. The first Layer of the interference network is the backhaul Layer between macro base stations (MBs) and small cell base stations (SBs), which is modeled as a Wyner type linear network. The second Layer is the Transmission Layer between SBs and mobile terminals (MTs), which is modeled as a linear Wyner L T network. The SBs are assumed to be half-duplex, thus restricting the per user degrees of freedom (puDoF) in the system to 1/2. It is established that the optimal puDoF of 1/2 can be achieved in the linear network with sufficient number of antennas using only interference avoidance schemes. For the case of higher connectivity in the Transmission Layer, it is shown that the optimal puDoF is achieved by sending an appropriate linear combination to the SB to zero-force interference at the intended user. These results are also extended to a more realistic hexagonal cellular model.
-
Design of a Heterogeneous Cellular Network with a Wireless Backhaul
2017 26th International Conference on Computer Communication and Networks (ICCCN), 2017Co-Authors: Meghana Bande, Venugopal V. VeeravalliAbstract:The downlink of a two-Layered heterogeneous hexag- onal cellular network is studied with macro base stations (MB), small cell base stations (SB) that act as half duplex analog relays, and mobile terminals (MT). The first Layer is a point- to-multipoint wireless backhaul between macro base stations and small cell base stations, and the second Layer is the Transmission Layer between SBs and MTs. The wireless backhaul Layer and the Transmission Layer use the same time/frequency resources for communication. The degrees of freedom (DoF) metric is used to characterize the capacity of the network at high signal to noise ratio (SNR). The maximum achievable per user DoF in the system is equal to half, due to the half-duplex nature of the SBs. The proposed schemes are simple zero forcing schemes that employ joint processing and achieve cooperation without overloading the wireless backhaul. This is achieved by sending an appropriate linear combination from the MBs that zero force (ZF) interference at the MTs directly. The achievable schemes exploit the half duplexity of the SBs in the system and schedule the SBs and MTs to be active in different time- slots in a smart manner to reduce interference. The optimal per user DoF of half can be approached in the hexagonal sectored cellular network using only zero forcing schemes, without the use of interference alignment.
-
DoF Analysis in a Two-Layered Heterogeneous Wireless Interference Network
arXiv: Information Theory, 2016Co-Authors: Meghana Bande, Venugopal V. Veeravalli, Antti Tölli, Markku JunttiAbstract:Degrees of freedom (DoF) is studied in the downlink of a heterogenous wireless network modeled as a two-Layered interference network. The first Layer of the interference network is the backhaul Layer between macro base stations (MB) and small cell base stations (SB), which is modeled as a Wyner type linear network. The second Layer is the Transmission Layer between SBs and mobile terminals (MTs), which is modeled as a linear Wyner $L_T$ network, i.e., each MT is connected to $L_T+1$ SBs. The SBs are assumed to be half-duplex, thus restricting the per user degrees of freedom (puDoF) in the system to $1/2$. The puDoF can be further restricted by the number of antennas at the MB. For $L_T \in \{1,2\}$, the optimal puDoF can be achieved by using simple interference avoidance schemes. The increase in the connectivity of Transmission Layer beyond $L_T=2$ limits the achievable puDoF using only zero-forcing schemes to less than 1/2, even in the presence of large number of antennas at each MB but the optimal puDoF can be achieved by making each message available at multiple SBs. This is done by sending an appropriate linear combination to the SB to zero-force interference at the intended user. The maximum per user DoF of 1/2 can be achieved in the linear network with sufficient number of antennas using only interference avoidance schemes. These results are also extended to a more realistic hexagonal cellular model as well.
Venugopal V. Veeravalli - One of the best experts on this subject based on the ideXlab platform.
-
ICCCN - Design of a Heterogeneous Cellular Network with a Wireless Backhaul
2017 26th International Conference on Computer Communication and Networks (ICCCN), 2017Co-Authors: Meghana Bande, Venugopal V. VeeravalliAbstract:The downlink of a two-Layered heterogeneous hexag- onal cellular network is studied with macro base stations (MB), small cell base stations (SB) that act as half duplex analog relays, and mobile terminals (MT). The first Layer is a point- to-multipoint wireless backhaul between macro base stations and small cell base stations, and the second Layer is the Transmission Layer between SBs and MTs. The wireless backhaul Layer and the Transmission Layer use the same time/frequency resources for communication. The degrees of freedom (DoF) metric is used to characterize the capacity of the network at high signal to noise ratio (SNR). The maximum achievable per user DoF in the system is equal to half, due to the half-duplex nature of the SBs. The proposed schemes are simple zero forcing schemes that employ joint processing and achieve cooperation without overloading the wireless backhaul. This is achieved by sending an appropriate linear combination from the MBs that zero force (ZF) interference at the MTs directly. The achievable schemes exploit the half duplexity of the SBs in the system and schedule the SBs and MTs to be active in different time- slots in a smart manner to reduce interference. The optimal per user DoF of half can be approached in the hexagonal sectored cellular network using only zero forcing schemes, without the use of interference alignment.
-
DoF analysis in a two-Layered heterogeneous wireless interference network
2017 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2017Co-Authors: Meghana Bande, Venugopal V. Veeravalli, Antti Tölli, Markku JunttiAbstract:Degrees of freedom (DoF) is studied in the downlink of a heterogenous wireless network modeled as a two-Layered interference network. The first Layer of the interference network is the backhaul Layer between macro base stations (MBs) and small cell base stations (SBs), which is modeled as a Wyner type linear network. The second Layer is the Transmission Layer between SBs and mobile terminals (MTs), which is modeled as a linear Wyner LT network. The SBs are assumed to be half-duplex, thus restricting the per user degrees of freedom (puDoF) in the system to 1/2. It is established that the optimal puDoF of 1/2 can be achieved in the linear network with sufficient number of antennas using only interference avoidance schemes. For the case of higher connectivity in the Transmission Layer, it is shown that the optimal puDoF is achieved by sending an appropriate linear combination to the SB to zero-force interference at the intended user. These results are also extended to a more realistic hexagonal cellular model.
-
ICASSP - DoF analysis in a two-Layered heterogeneous wireless interference network
2017 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2017Co-Authors: Meghana Bande, Venugopal V. Veeravalli, Antti Tölli, Markku JunttiAbstract:Degrees of freedom (DoF) is studied in the downlink of a heterogenous wireless network modeled as a two-Layered interference network. The first Layer of the interference network is the backhaul Layer between macro base stations (MBs) and small cell base stations (SBs), which is modeled as a Wyner type linear network. The second Layer is the Transmission Layer between SBs and mobile terminals (MTs), which is modeled as a linear Wyner L T network. The SBs are assumed to be half-duplex, thus restricting the per user degrees of freedom (puDoF) in the system to 1/2. It is established that the optimal puDoF of 1/2 can be achieved in the linear network with sufficient number of antennas using only interference avoidance schemes. For the case of higher connectivity in the Transmission Layer, it is shown that the optimal puDoF is achieved by sending an appropriate linear combination to the SB to zero-force interference at the intended user. These results are also extended to a more realistic hexagonal cellular model.
-
Design of a Heterogeneous Cellular Network with a Wireless Backhaul
2017 26th International Conference on Computer Communication and Networks (ICCCN), 2017Co-Authors: Meghana Bande, Venugopal V. VeeravalliAbstract:The downlink of a two-Layered heterogeneous hexag- onal cellular network is studied with macro base stations (MB), small cell base stations (SB) that act as half duplex analog relays, and mobile terminals (MT). The first Layer is a point- to-multipoint wireless backhaul between macro base stations and small cell base stations, and the second Layer is the Transmission Layer between SBs and MTs. The wireless backhaul Layer and the Transmission Layer use the same time/frequency resources for communication. The degrees of freedom (DoF) metric is used to characterize the capacity of the network at high signal to noise ratio (SNR). The maximum achievable per user DoF in the system is equal to half, due to the half-duplex nature of the SBs. The proposed schemes are simple zero forcing schemes that employ joint processing and achieve cooperation without overloading the wireless backhaul. This is achieved by sending an appropriate linear combination from the MBs that zero force (ZF) interference at the MTs directly. The achievable schemes exploit the half duplexity of the SBs in the system and schedule the SBs and MTs to be active in different time- slots in a smart manner to reduce interference. The optimal per user DoF of half can be approached in the hexagonal sectored cellular network using only zero forcing schemes, without the use of interference alignment.
-
DoF Analysis in a Two-Layered Heterogeneous Wireless Interference Network
arXiv: Information Theory, 2016Co-Authors: Meghana Bande, Venugopal V. Veeravalli, Antti Tölli, Markku JunttiAbstract:Degrees of freedom (DoF) is studied in the downlink of a heterogenous wireless network modeled as a two-Layered interference network. The first Layer of the interference network is the backhaul Layer between macro base stations (MB) and small cell base stations (SB), which is modeled as a Wyner type linear network. The second Layer is the Transmission Layer between SBs and mobile terminals (MTs), which is modeled as a linear Wyner $L_T$ network, i.e., each MT is connected to $L_T+1$ SBs. The SBs are assumed to be half-duplex, thus restricting the per user degrees of freedom (puDoF) in the system to $1/2$. The puDoF can be further restricted by the number of antennas at the MB. For $L_T \in \{1,2\}$, the optimal puDoF can be achieved by using simple interference avoidance schemes. The increase in the connectivity of Transmission Layer beyond $L_T=2$ limits the achievable puDoF using only zero-forcing schemes to less than 1/2, even in the presence of large number of antennas at each MB but the optimal puDoF can be achieved by making each message available at multiple SBs. This is done by sending an appropriate linear combination to the SB to zero-force interference at the intended user. The maximum per user DoF of 1/2 can be achieved in the linear network with sufficient number of antennas using only interference avoidance schemes. These results are also extended to a more realistic hexagonal cellular model as well.
Yusheng Liang - One of the best experts on this subject based on the ideXlab platform.
-
Geoinformatics - Research on intelligent acquisition of smart agricultural big data
2017 25th International Conference on Geoinformatics, 2017Co-Authors: Qiulan Wu, Yong Liang, Ying Li, Yusheng LiangAbstract:This paper presents the construction goals of smart agriculture according to the requirements of smarter planet and smart agriculture, and designs an overall scheme for smart agriculture based on technologies such as GIS (Geographic Information System), cloud computing, IOT (Internet of Things), big data and sensing technology. The scheme contains five Layers: all-sided perception Layer, reliable Transmission Layer, intelligent processing Layer, intelligent application Layer, and supporting environment Layer. The all-sided perception Layer is mainly concentrated on the marks of things and intelligent acquisition of agricultural big data; the Transmission Layer is mainly about the construction of a reliable Transmission network; the intelligent processing Layer is mainly aimed at storage, processing and control technologies of agricultural big data; the application Layer is mainly to study the construction of application system and intelligence application; and the supporting environment Layer is aimed at the implementation of smart agriculture and the long-term application of its results. According to the overall scheme for smart agriculture and the National High-tech R&D Program of China (the 863 project) sponsored by the author, part of the farmland in Yanzhou District, Jining Municipality, Shandong Province was chosen as the experimental area for the research. On this basis, the bottleneck problems of smart agriculture in the big data times are studied, such as type and precision problem of sensors used specially for agriculture, as well as intelligent processing and intelligent application of agricultural big data. Finally, the countermeasures to solve the above problems are discussed. The first is to break through the technical bottleneck of high performance sensors. The second is to establish smart agriculture cloud platform based on GIS and cloud computing.
-
Research on intelligent acquisition of smart agricultural big data
2017 25th International Conference on Geoinformatics, 2017Co-Authors: Qiulan Wu, Yong Liang, Ying Li, Yusheng LiangAbstract:This paper presents the construction goals of smart agriculture according to the requirements of smarter planet and smart agriculture, and designs an overall scheme for smart agriculture based on technologies such as GIS (Geographic Information System), cloud computing, IOT (Internet of Things), big data and sensing technology. The scheme contains five Layers: all-sided perception Layer, reliable Transmission Layer, intelligent processing Layer, intelligent application Layer, and supporting environment Layer. The all-sided perception Layer is mainly concentrated on the marks of things and intelligent acquisition of agricultural big data; the Transmission Layer is mainly about the construction of a reliable Transmission network; the intelligent processing Layer is mainly aimed at storage, processing and control technologies of agricultural big data; the application Layer is mainly to study the construction of application system and intelligence application; and the supporting environment Layer is aimed at the implementation of smart agriculture and the long-term application of its results. According to the overall scheme for smart agriculture and the National High-tech R&D Program of China (the 863 project) sponsored by the author, part of the farmland in Yanzhou District, Jining Municipality, Shandong Province was chosen as the experimental area for the research. On this basis, the bottleneck problems of smart agriculture in the big data times are studied, such as type and precision problem of sensors used specially for agriculture, as well as intelligent processing and intelligent application of agricultural big data. Finally, the countermeasures to solve the above problems are discussed. The first is to break through the technical bottleneck of high performance sensors. The second is to establish smart agriculture cloud platform based on GIS and cloud computing.
Markku Juntti - One of the best experts on this subject based on the ideXlab platform.
-
DoF analysis in a two-Layered heterogeneous wireless interference network
2017 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2017Co-Authors: Meghana Bande, Venugopal V. Veeravalli, Antti Tölli, Markku JunttiAbstract:Degrees of freedom (DoF) is studied in the downlink of a heterogenous wireless network modeled as a two-Layered interference network. The first Layer of the interference network is the backhaul Layer between macro base stations (MBs) and small cell base stations (SBs), which is modeled as a Wyner type linear network. The second Layer is the Transmission Layer between SBs and mobile terminals (MTs), which is modeled as a linear Wyner LT network. The SBs are assumed to be half-duplex, thus restricting the per user degrees of freedom (puDoF) in the system to 1/2. It is established that the optimal puDoF of 1/2 can be achieved in the linear network with sufficient number of antennas using only interference avoidance schemes. For the case of higher connectivity in the Transmission Layer, it is shown that the optimal puDoF is achieved by sending an appropriate linear combination to the SB to zero-force interference at the intended user. These results are also extended to a more realistic hexagonal cellular model.
-
ICASSP - DoF analysis in a two-Layered heterogeneous wireless interference network
2017 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2017Co-Authors: Meghana Bande, Venugopal V. Veeravalli, Antti Tölli, Markku JunttiAbstract:Degrees of freedom (DoF) is studied in the downlink of a heterogenous wireless network modeled as a two-Layered interference network. The first Layer of the interference network is the backhaul Layer between macro base stations (MBs) and small cell base stations (SBs), which is modeled as a Wyner type linear network. The second Layer is the Transmission Layer between SBs and mobile terminals (MTs), which is modeled as a linear Wyner L T network. The SBs are assumed to be half-duplex, thus restricting the per user degrees of freedom (puDoF) in the system to 1/2. It is established that the optimal puDoF of 1/2 can be achieved in the linear network with sufficient number of antennas using only interference avoidance schemes. For the case of higher connectivity in the Transmission Layer, it is shown that the optimal puDoF is achieved by sending an appropriate linear combination to the SB to zero-force interference at the intended user. These results are also extended to a more realistic hexagonal cellular model.
-
DoF Analysis in a Two-Layered Heterogeneous Wireless Interference Network
arXiv: Information Theory, 2016Co-Authors: Meghana Bande, Venugopal V. Veeravalli, Antti Tölli, Markku JunttiAbstract:Degrees of freedom (DoF) is studied in the downlink of a heterogenous wireless network modeled as a two-Layered interference network. The first Layer of the interference network is the backhaul Layer between macro base stations (MB) and small cell base stations (SB), which is modeled as a Wyner type linear network. The second Layer is the Transmission Layer between SBs and mobile terminals (MTs), which is modeled as a linear Wyner $L_T$ network, i.e., each MT is connected to $L_T+1$ SBs. The SBs are assumed to be half-duplex, thus restricting the per user degrees of freedom (puDoF) in the system to $1/2$. The puDoF can be further restricted by the number of antennas at the MB. For $L_T \in \{1,2\}$, the optimal puDoF can be achieved by using simple interference avoidance schemes. The increase in the connectivity of Transmission Layer beyond $L_T=2$ limits the achievable puDoF using only zero-forcing schemes to less than 1/2, even in the presence of large number of antennas at each MB but the optimal puDoF can be achieved by making each message available at multiple SBs. This is done by sending an appropriate linear combination to the SB to zero-force interference at the intended user. The maximum per user DoF of 1/2 can be achieved in the linear network with sufficient number of antennas using only interference avoidance schemes. These results are also extended to a more realistic hexagonal cellular model as well.
Hsi-tseng Chou - One of the best experts on this subject based on the ideXlab platform.
-
RFID-TA - A Waveguide Transmitarray Antenna for Near-field Millimeter-wave Sensing Applications
2019 IEEE International Conference on RFID Technology and Applications (RFID-TA), 2019Co-Authors: Siddhartha Panigrahi, Hsi-tseng ChouAbstract:This paper proposes a waveguide transmitarray antenna system for millimeter-wave near-field identification and sensing applications, and presents preliminary results of numerical simulation. The Transmission Layer of this antenna is an array of metallic waveguide elements operating in their fundamental mode. The arrangement and positioning of these elements are based on mathematical equations that are derived using path equivalence principle. The transmitarray design allows multi-beam capability to the antenna system by placing multiple feed sources at the focal arc of the antenna. This antenna is suitable for millimeter-wave identification and sensing applications in various fields such as food safety, medical, industrial etc. due to its high focusing ability.
-
A Waveguide Transmitarray Antenna for Near-field Millimeter-wave Sensing Applications
2019 IEEE International Conference on RFID Technology and Applications (RFID-TA), 2019Co-Authors: Siddhartha Panigrahi, Hsi-tseng ChouAbstract:This paper proposes a waveguide transmitarray antenna system for millimeter-wave near-field identification and sensing applications, and presents preliminary results of numerical simulation. The Transmission Layer of this antenna is an array of metallic waveguide elements operating in their fundamental mode. The arrangement and positioning of these elements are based on mathematical equations that are derived using path equivalence principle. The transmitarray design allows multi-beam capability to the antenna system by placing multiple feed sources at the focal arc of the antenna. This antenna is suitable for millimeter-wave identification and sensing applications in various fields such as food safety, medical, industrial etc. due to its high focusing ability.
