The Experts below are selected from a list of 147663 Experts worldwide ranked by ideXlab platform
Ehab Mahmoud Mohamed - One of the best experts on this subject based on the ideXlab platform.
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WiGig Coverage Area Management Based on Wi-Fi Received Signal Strength
2018 International Conference on Computing Electronics & Communications Engineering (iCCECE), 2018Co-Authors: Rehab Abdel-raouf, Hamada Esmaiel, Ehab Mahmoud MohamedAbstract:In this paper, a novel WiGig Coverage Area management technique for dual-band (Wi-FilWiGig) WLAN is proposed. By using the Wi-Fi received signal strength (RSS), the probability density function (PDF) of the separated distance between the AP position and the actual UE position is determined. Based on this along with the PDF of the WiGig shadowing using WiGig link model, the PDF of the WiGig received power can be calculated for a user equipment (UE). Thus, WiGig in-Coverage or out-of-Coverage decisions can be taken by evaluating the cumulative distribution function (CDF) of the WiGig received power up to a certain power level and comparing it with a predefined threshold; where fixed or dynamic thresholds can be used in this context. Thanks to the proposed WiGig Coverage Area management, WiGig power consumption is minimized while sufficiently utilizing the WiGig band. Analytical and numerical analysis confirm the superiority of the proposed scheme over the existing ones.
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CCNC - Experimental work on WiGig Coverage Area management and beamforming training using Wi-Fi fingerprint
2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2017Co-Authors: Ehab Mahmoud Mohamed, Kei Sakaguchi, Seiichi SampeiAbstract:Although Wireless Gigabit (WiGig) access operating in the 60 GHz band plays a significant role towards multi-Gbps WLANs, its transmission suffers from harsh propagation loss and path blocking reducing its transmission range to be few meters around a WiGig access point/station (AP/STA). Consequently, directional transmissions using antenna beamforming is tremendously used in WiGig communication. In this paper, a novel approach of leveraging Wi-Fi channel fingerprints for localizing WiGig Coverage Area along with reducing its beamforming training (BT) complexity over conventional exhaustive search BT is proposed. The proposed approach is motivated by the fact that Wi-Fi fingerprints, WiGig Coverage Area and the best beam identifications (IDs) of a WiGig AP and STA are all location dependent. Hence, by linking Wi-Fi fingerprints with WiGig information, e.g., WiGig Coverage and the best AP/STA beam IDs, using statistical learning, Wi-Fi fingerprints comparisons can be used to detect if a WiGig STA is within the Coverage Area of a WiGig AP or not and which AP/STA beam IDs are expected to maximize the link quality. Experimental work in real indoor environment is conducted to prove the effectiveness of the proposed approach compared to the conventional exhaustive search BT.
Seiichi Sampei - One of the best experts on this subject based on the ideXlab platform.
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CCNC - Experimental work on WiGig Coverage Area management and beamforming training using Wi-Fi fingerprint
2017 14th IEEE Annual Consumer Communications & Networking Conference (CCNC), 2017Co-Authors: Ehab Mahmoud Mohamed, Kei Sakaguchi, Seiichi SampeiAbstract:Although Wireless Gigabit (WiGig) access operating in the 60 GHz band plays a significant role towards multi-Gbps WLANs, its transmission suffers from harsh propagation loss and path blocking reducing its transmission range to be few meters around a WiGig access point/station (AP/STA). Consequently, directional transmissions using antenna beamforming is tremendously used in WiGig communication. In this paper, a novel approach of leveraging Wi-Fi channel fingerprints for localizing WiGig Coverage Area along with reducing its beamforming training (BT) complexity over conventional exhaustive search BT is proposed. The proposed approach is motivated by the fact that Wi-Fi fingerprints, WiGig Coverage Area and the best beam identifications (IDs) of a WiGig AP and STA are all location dependent. Hence, by linking Wi-Fi fingerprints with WiGig information, e.g., WiGig Coverage and the best AP/STA beam IDs, using statistical learning, Wi-Fi fingerprints comparisons can be used to detect if a WiGig STA is within the Coverage Area of a WiGig AP or not and which AP/STA beam IDs are expected to maximize the link quality. Experimental work in real indoor environment is conducted to prove the effectiveness of the proposed approach compared to the conventional exhaustive search BT.
Fumiaki Maehara - One of the best experts on this subject based on the ideXlab platform.
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VTC Spring - Coverage Area Prediction Method of Extremely Reliable In-Car MB-OFDM UWB Communication
2010 IEEE 71st Vehicular Technology Conference, 2010Co-Authors: Ryouhei Kaneko, Akihiro Yamakita, Fumiaki MaeharaAbstract:This paper proposes a Coverage Area prediction method for extremely reliable in-car MB-OFDM UWB communication. Since sensor and control networks inside a car require extremely high quality of service (QoS), it is almost impossible for computer simulations to provide very low bit error rate (BER). In the proposed approach, very low BER performance is obtained by approximating the simulated BER with simple exponential functions thanks to the fact that coded MB-OFDM UWB system does not theoretically introduce any error floor. In other words, once the simulated BER can be transformed into a simple mathematical formula such as exponential function, the Coverage Area can be predicted irrespective of the target QoS. By using this approach, we demonstrate the Coverage Area to satisfy the BER of 1e-12.
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Coverage Area prediction of in-car wireless communications employing MB-OFDM UWB systems
2009 9th International Conference on Intelligent Transport Systems Telecommunications (ITST), 2009Co-Authors: Ryouhei Kaneko, Fumiaki MaeharaAbstract:This paper investigates the Coverage Area of MB-OFDM UWB system under in-car propagation environments. The Coverage Area of each transmission speed to satisfy a certain quality of service (QoS) is predicted by combining the transmission performance of MB-OFDM UWB system with actual in-car propagation characteristics. Since the transmission performance of MB-OFDM strongly depends on the delay spread, the Coverage Area prediction takes into account the delay spread based on the distance between the transmitter and the receiver, as well as the propagation loss. The Coverage Area in the occupied scenario with four passengers is compared with that in the empty scenario. Computer simulation results show that the Coverage Area in the occupied scenario turns out to be much smaller than that in the empty scenario due to the large propagation loss and the decrease in the delay spread.
Yunfei Chen - One of the best experts on this subject based on the ideXlab platform.
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GLOBECOM - Coverage Area Performance for Multiple Interfering UAVs
2019 IEEE Global Communications Conference (GLOBECOM), 2019Co-Authors: Aziz Altaf Khuwaja, Gan Zheng, Wei Feng, Yunfei ChenAbstract:Unmanned aerial vehicles (UAVs) have the capability of supplementing as well as improvising terrestrial cellular communications as aerial base stations to improve network Coverage. This puts significance on the effective deployment of multiple UAVs while maximizing the Coverage Area in presence of co- channel interference generated by these UAVs. To this end, it is important to determine the parameters that affects the Coverage Area performance. In this paper, we investigate the effect of co-channel interference on the effective Coverage of UAV-based small cells (USCs) deployed in a certain geographical Area to satisfy a target signal-to-interference-plus-noise ratio (SINR) at the cell edge. We propose a coordinated multi- UAV strategy to evaluate the trade-off between the UAV separation distance and the overall Coverage Area assuming symmetric placement of UAVs at a common optimal altitude to ensure minimum transmit power. Numerical results unveil that the number of UAVs and the separation distance between them should be carefully designed to achieve the optimal Coverage Area performance.
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Optimum Deployment of Multiple UAVs for Coverage Area Maximization in the Presence of Co-Channel Interference
IEEE Access, 2019Co-Authors: Aziz Altaf Khuwaja, Gan Zheng, Yunfei Chen, Wei FengAbstract:The use of the unmanned aerial vehicle (UAV) as the aerial base stations can provide wireless communication services in the form of UAV-based small cells (USCs). Thus, the major design challenge that needs to be addressed is the Coverage maximization of such USCs in the presence of co-channel interference generated by multiple UAVs operating within a specific target Area. Consequently, the efficient deployment strategy is imperative for USCs while optimizing the Coverage Area performance to compensate for the impact of interference. To this end, this paper presents a coordinated multi-UAV strategy in two scenarios. In the first scenario, symmetric placement of UAVs is assumed at a common optimal altitude and transmit power. In the second scenario, asymmetric deployment of UAVs with different altitudes and transmit powers is assumed. Then, the Coverage Area performance is investigated as a function of the separation distance between UAVs that are deployed in a certain geographical Area to satisfy a target signal-to-interference-plus-noise ratio (SINR) at the cell boundary. Finally, the system-level performance of a boundary user is studied in terms of the Coverage probability. The numerical results unveil that the SINR threshold, the separation distance, and the number of UAVs and their formations should be carefully selected to achieve the maximum Coverage Area inside and to reduce the unnecessary expansion outside the target Area. Thus, this paper provides important design guidelines for the deployment of multiple UAVs in the presence of co-channel interference.
Wei Feng - One of the best experts on this subject based on the ideXlab platform.
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GLOBECOM - Coverage Area Performance for Multiple Interfering UAVs
2019 IEEE Global Communications Conference (GLOBECOM), 2019Co-Authors: Aziz Altaf Khuwaja, Gan Zheng, Wei Feng, Yunfei ChenAbstract:Unmanned aerial vehicles (UAVs) have the capability of supplementing as well as improvising terrestrial cellular communications as aerial base stations to improve network Coverage. This puts significance on the effective deployment of multiple UAVs while maximizing the Coverage Area in presence of co- channel interference generated by these UAVs. To this end, it is important to determine the parameters that affects the Coverage Area performance. In this paper, we investigate the effect of co-channel interference on the effective Coverage of UAV-based small cells (USCs) deployed in a certain geographical Area to satisfy a target signal-to-interference-plus-noise ratio (SINR) at the cell edge. We propose a coordinated multi- UAV strategy to evaluate the trade-off between the UAV separation distance and the overall Coverage Area assuming symmetric placement of UAVs at a common optimal altitude to ensure minimum transmit power. Numerical results unveil that the number of UAVs and the separation distance between them should be carefully designed to achieve the optimal Coverage Area performance.
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Optimum Deployment of Multiple UAVs for Coverage Area Maximization in the Presence of Co-Channel Interference
IEEE Access, 2019Co-Authors: Aziz Altaf Khuwaja, Gan Zheng, Yunfei Chen, Wei FengAbstract:The use of the unmanned aerial vehicle (UAV) as the aerial base stations can provide wireless communication services in the form of UAV-based small cells (USCs). Thus, the major design challenge that needs to be addressed is the Coverage maximization of such USCs in the presence of co-channel interference generated by multiple UAVs operating within a specific target Area. Consequently, the efficient deployment strategy is imperative for USCs while optimizing the Coverage Area performance to compensate for the impact of interference. To this end, this paper presents a coordinated multi-UAV strategy in two scenarios. In the first scenario, symmetric placement of UAVs is assumed at a common optimal altitude and transmit power. In the second scenario, asymmetric deployment of UAVs with different altitudes and transmit powers is assumed. Then, the Coverage Area performance is investigated as a function of the separation distance between UAVs that are deployed in a certain geographical Area to satisfy a target signal-to-interference-plus-noise ratio (SINR) at the cell boundary. Finally, the system-level performance of a boundary user is studied in terms of the Coverage probability. The numerical results unveil that the SINR threshold, the separation distance, and the number of UAVs and their formations should be carefully selected to achieve the maximum Coverage Area inside and to reduce the unnecessary expansion outside the target Area. Thus, this paper provides important design guidelines for the deployment of multiple UAVs in the presence of co-channel interference.
