The Experts below are selected from a list of 6108 Experts worldwide ranked by ideXlab platform
Lajos Hanzo - One of the best experts on this subject based on the ideXlab platform.
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large scale mimo based Wireless Backhaul in 5g networks
IEEE Wireless Communications, 2015Co-Authors: Zhongshan Zhang, Xiyuan Wang, Keping Long, Athanasios V. Vasilakos, Lajos HanzoAbstract:In order to enhance the attainable transmission rates to the levels specified by future Wireless communications, a paradigm shift from conventional small-scale MIMO to large-scale (LS)-MIMO is highly desirable. LS-MIMO technology as a “cleanslate” approach is shown to be capable of dramatically increasing the area spectral efficiency (SE, as measured in bits per second per Hertz per square kilometer) while simultaneously improving the energy efficiency as measured in bits per Joule. Furthermore, the concept of LS-MIMO has established itself as a beneficial transmission/detection paradigm, thus substantially reducing the impact of interference relying on some advanced transmit precoding/ beamforming/detection techniques. This article is intended to offer a state-of-the-art survey on LS-MIMO research, to promote the discussion of its beneficial application areas and the research challenges associated with BF aided Wireless Backhaul, LS-MIMO channel modeling, signal detection, and so on. Additionally, a joint group power allocation and pre-beamforming scheme called JGPAPBF is proposed to substantially improve the performance of LS-MIMO-based Wireless Backhaul in heterogeneous networks. Our hope is that this article will stimulate future research efforts.
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large scale mimo based Wireless Backhaul in 5g networks
IEEE Wireless Communications, 2015Co-Authors: Zhongshan Zhang, Xiyuan Wang, Keping Long, Athanasios V. Vasilakos, Lajos HanzoAbstract:In order to enhance the attainable transmission rates to the levels specified by future Wireless communications, a paradigm shift from conventional small-scale MIMO to large-scale (LS)-MIMO is highly desirable. LS-MIMO technology as a “cleanslate” approach is shown to be capable of dramatically increasing the area spectral efficiency (SE, as measured in bits per second per Hertz per square kilometer) while simultaneously improving the energy efficiency as measured in bits per Joule. Furthermore, the concept of LS-MIMO has established itself as a beneficial transmission/detection paradigm, thus substantially reducing the impact of interference relying on some advanced transmit precoding/ beamforming/detection techniques. This article is intended to offer a state-of-the-art survey on LS-MIMO research, to promote the discussion of its beneficial application areas and the research challenges associated with BF aided Wireless Backhaul, LS-MIMO channel modeling, signal detection, and so on. Additionally, a joint group power allocation and pre-beamforming scheme called JGPAPBF is proposed to substantially improve the performance of LS-MIMO-based Wireless Backhaul in heterogeneous networks. Our hope is that this article will stimulate future research efforts.
Muhammad Zeeshan Shakir - One of the best experts on this subject based on the ideXlab platform.
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Backhaul aware robust 3d drone placement in 5g Wireless networks
International Conference on Communications, 2017Co-Authors: Elham Kalantari, Muhammad Zeeshan Shakir, Halim Yanikomeroglu, Abbas YongacogluAbstract:Using drones as flying base stations is a promising approach to enhance the network coverage and area capacity by moving supply towards demand when required. However deployment of such base stations can face some restrictions that need to be considered. One of the limitations in drone base stations (drone-BSs) deployment is the availability of reliable Wireless Backhaul link. This paper investigates how different types of Wireless Backhaul offering various data rates would affect the number of served users. Two approaches, namely, network-centric and user-centric, are introduced and the optimal 3D Backhaul-aware placement of a drone-BS is found for each approach. To this end, the total number of served users and sum-rates are maximized in the network-centric and user-centric frameworks, respectively. Moreover, as it is preferred to decrease drone-BS movements to save more on battery and increase flight time and to reduce the channel variations, the robustness of the network is examined as how sensitive it is with respect to the users displacements.
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mmwave massive mimo based Wireless Backhaul for 5g ultra dense network
arXiv: Information Theory, 2015Co-Authors: Zhen Gao, Linglong Dai, Zhaocheng Wang, Muhammad Imran, Muhammad Zeeshan ShakirAbstract:Ultra-dense network (UDN) has been considered as a promising candidate for future 5G network to meet the explosive data demand. To realize UDN, a reliable, Gigahertz bandwidth, and cost-effective Backhaul connecting ultra-dense small-cell base stations (BSs) and macro-cell BS is prerequisite. Millimeter-wave (mmWave) can provide the potential Gbps traffic for Wireless Backhaul. Moreover, mmWave can be easily integrated with massive MIMO for the improved link reliability. In this article, we discuss the feasibility of mmWave massive MIMO based Wireless Backhaul for 5G UDN, and the benefits and challenges are also addressed. Especially, we propose a digitally-controlled phase-shifter network (DPSN) based hybrid precoding/combining scheme for mmWave massive MIMO, whereby the low-rank property of mmWave massive MIMO channel matrix is leveraged to reduce the required cost and complexity of transceiver with a negligible performance loss. One key feature of the proposed scheme is that the macro-cell BS can simultaneously support multiple small-cell BSs with multiple streams for each smallcell BS, which is essentially different from conventional hybrid precoding/combining schemes typically limited to single-user MIMO with multiple streams or multi-user MIMO with single stream for each user. Based on the proposed scheme, we further explore the fundamental issues of developing mmWave massive MIMO for Wireless Backhaul, and the associated challenges, insight, and prospect to enable the mmWave massive MIMO based Wireless Backhaul for 5G UDN are discussed.
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MmWave massive-MIMO-based Wireless Backhaul for the 5G ultra-dense network
Wireless Communications, IEEE, 2015Co-Authors: Zhen Gao, Linglong Dai, Zhaocheng Wang, De Mi, Muhammad Ali Imran, Muhammad Zeeshan ShakirAbstract:The ultra-dense network (UDN) has been considered as a promising candidate for future 5G networks to meet the explosive data demand. To realize UDN, a reliable, gigahertz bandwidth, and cost-effective Backhaul connecting ultradense small-cell BSs and macrocell BS are prerequisite. Millimeter-wave can provide the potential gigabit-per-second traffic for Wireless Backhaul. Moreover, mmWave can easily be integrated with massive MIMO for improved link reliability. In this article, we discuss the feasibility of mmWave massive-MIMO-based Wireless Backhaul for 5G UDN, and the benefits and challenges are also addressed. In particular, we propose a digitally controlled phase shifter network (DPSN)-based hybrid precoding/combining scheme for mmWave massive MIMO, whereby the low-rank property of the mmWave massive MIMO channel matrix is leveraged to reduce the required cost and complexity of a transceiver with a negligible performance loss. One key feature of the proposed scheme is that the macrocell BS can simultaneously support multiple small-cell BSs with multiple streams for each small-cell BS, which is essentially different from conventional hybrid precoding/combining schemes, typically limited to single-user MIMO with multiple streams or multi-user MIMO with single stream for each user. Based on the proposed scheme, we further explore the fundamental issues of developing mmWave massive MIMO for Wireless Backhaul, and the associated challenges, insight, and prospects to enable mmWave massive-MIMO-based Wireless Backhaul for 5G UDN are discussed.
Zhongshan Zhang - One of the best experts on this subject based on the ideXlab platform.
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large scale mimo based Wireless Backhaul in 5g networks
IEEE Wireless Communications, 2015Co-Authors: Zhongshan Zhang, Xiyuan Wang, Keping Long, Athanasios V. Vasilakos, Lajos HanzoAbstract:In order to enhance the attainable transmission rates to the levels specified by future Wireless communications, a paradigm shift from conventional small-scale MIMO to large-scale (LS)-MIMO is highly desirable. LS-MIMO technology as a “cleanslate” approach is shown to be capable of dramatically increasing the area spectral efficiency (SE, as measured in bits per second per Hertz per square kilometer) while simultaneously improving the energy efficiency as measured in bits per Joule. Furthermore, the concept of LS-MIMO has established itself as a beneficial transmission/detection paradigm, thus substantially reducing the impact of interference relying on some advanced transmit precoding/ beamforming/detection techniques. This article is intended to offer a state-of-the-art survey on LS-MIMO research, to promote the discussion of its beneficial application areas and the research challenges associated with BF aided Wireless Backhaul, LS-MIMO channel modeling, signal detection, and so on. Additionally, a joint group power allocation and pre-beamforming scheme called JGPAPBF is proposed to substantially improve the performance of LS-MIMO-based Wireless Backhaul in heterogeneous networks. Our hope is that this article will stimulate future research efforts.
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large scale mimo based Wireless Backhaul in 5g networks
IEEE Wireless Communications, 2015Co-Authors: Zhongshan Zhang, Xiyuan Wang, Keping Long, Athanasios V. Vasilakos, Lajos HanzoAbstract:In order to enhance the attainable transmission rates to the levels specified by future Wireless communications, a paradigm shift from conventional small-scale MIMO to large-scale (LS)-MIMO is highly desirable. LS-MIMO technology as a “cleanslate” approach is shown to be capable of dramatically increasing the area spectral efficiency (SE, as measured in bits per second per Hertz per square kilometer) while simultaneously improving the energy efficiency as measured in bits per Joule. Furthermore, the concept of LS-MIMO has established itself as a beneficial transmission/detection paradigm, thus substantially reducing the impact of interference relying on some advanced transmit precoding/ beamforming/detection techniques. This article is intended to offer a state-of-the-art survey on LS-MIMO research, to promote the discussion of its beneficial application areas and the research challenges associated with BF aided Wireless Backhaul, LS-MIMO channel modeling, signal detection, and so on. Additionally, a joint group power allocation and pre-beamforming scheme called JGPAPBF is proposed to substantially improve the performance of LS-MIMO-based Wireless Backhaul in heterogeneous networks. Our hope is that this article will stimulate future research efforts.
Zhen Gao - One of the best experts on this subject based on the ideXlab platform.
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mmwave massive mimo based Wireless Backhaul for 5g ultra dense network
arXiv: Information Theory, 2015Co-Authors: Zhen Gao, Linglong Dai, Zhaocheng Wang, Muhammad Imran, Muhammad Zeeshan ShakirAbstract:Ultra-dense network (UDN) has been considered as a promising candidate for future 5G network to meet the explosive data demand. To realize UDN, a reliable, Gigahertz bandwidth, and cost-effective Backhaul connecting ultra-dense small-cell base stations (BSs) and macro-cell BS is prerequisite. Millimeter-wave (mmWave) can provide the potential Gbps traffic for Wireless Backhaul. Moreover, mmWave can be easily integrated with massive MIMO for the improved link reliability. In this article, we discuss the feasibility of mmWave massive MIMO based Wireless Backhaul for 5G UDN, and the benefits and challenges are also addressed. Especially, we propose a digitally-controlled phase-shifter network (DPSN) based hybrid precoding/combining scheme for mmWave massive MIMO, whereby the low-rank property of mmWave massive MIMO channel matrix is leveraged to reduce the required cost and complexity of transceiver with a negligible performance loss. One key feature of the proposed scheme is that the macro-cell BS can simultaneously support multiple small-cell BSs with multiple streams for each smallcell BS, which is essentially different from conventional hybrid precoding/combining schemes typically limited to single-user MIMO with multiple streams or multi-user MIMO with single stream for each user. Based on the proposed scheme, we further explore the fundamental issues of developing mmWave massive MIMO for Wireless Backhaul, and the associated challenges, insight, and prospect to enable the mmWave massive MIMO based Wireless Backhaul for 5G UDN are discussed.
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MmWave massive-MIMO-based Wireless Backhaul for the 5G ultra-dense network
Wireless Communications, IEEE, 2015Co-Authors: Zhen Gao, Linglong Dai, Zhaocheng Wang, De Mi, Muhammad Ali Imran, Muhammad Zeeshan ShakirAbstract:The ultra-dense network (UDN) has been considered as a promising candidate for future 5G networks to meet the explosive data demand. To realize UDN, a reliable, gigahertz bandwidth, and cost-effective Backhaul connecting ultradense small-cell BSs and macrocell BS are prerequisite. Millimeter-wave can provide the potential gigabit-per-second traffic for Wireless Backhaul. Moreover, mmWave can easily be integrated with massive MIMO for improved link reliability. In this article, we discuss the feasibility of mmWave massive-MIMO-based Wireless Backhaul for 5G UDN, and the benefits and challenges are also addressed. In particular, we propose a digitally controlled phase shifter network (DPSN)-based hybrid precoding/combining scheme for mmWave massive MIMO, whereby the low-rank property of the mmWave massive MIMO channel matrix is leveraged to reduce the required cost and complexity of a transceiver with a negligible performance loss. One key feature of the proposed scheme is that the macrocell BS can simultaneously support multiple small-cell BSs with multiple streams for each small-cell BS, which is essentially different from conventional hybrid precoding/combining schemes, typically limited to single-user MIMO with multiple streams or multi-user MIMO with single stream for each user. Based on the proposed scheme, we further explore the fundamental issues of developing mmWave massive MIMO for Wireless Backhaul, and the associated challenges, insight, and prospects to enable mmWave massive-MIMO-based Wireless Backhaul for 5G UDN are discussed.
Keping Long - One of the best experts on this subject based on the ideXlab platform.
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large scale mimo based Wireless Backhaul in 5g networks
IEEE Wireless Communications, 2015Co-Authors: Zhongshan Zhang, Xiyuan Wang, Keping Long, Athanasios V. Vasilakos, Lajos HanzoAbstract:In order to enhance the attainable transmission rates to the levels specified by future Wireless communications, a paradigm shift from conventional small-scale MIMO to large-scale (LS)-MIMO is highly desirable. LS-MIMO technology as a “cleanslate” approach is shown to be capable of dramatically increasing the area spectral efficiency (SE, as measured in bits per second per Hertz per square kilometer) while simultaneously improving the energy efficiency as measured in bits per Joule. Furthermore, the concept of LS-MIMO has established itself as a beneficial transmission/detection paradigm, thus substantially reducing the impact of interference relying on some advanced transmit precoding/ beamforming/detection techniques. This article is intended to offer a state-of-the-art survey on LS-MIMO research, to promote the discussion of its beneficial application areas and the research challenges associated with BF aided Wireless Backhaul, LS-MIMO channel modeling, signal detection, and so on. Additionally, a joint group power allocation and pre-beamforming scheme called JGPAPBF is proposed to substantially improve the performance of LS-MIMO-based Wireless Backhaul in heterogeneous networks. Our hope is that this article will stimulate future research efforts.
-
large scale mimo based Wireless Backhaul in 5g networks
IEEE Wireless Communications, 2015Co-Authors: Zhongshan Zhang, Xiyuan Wang, Keping Long, Athanasios V. Vasilakos, Lajos HanzoAbstract:In order to enhance the attainable transmission rates to the levels specified by future Wireless communications, a paradigm shift from conventional small-scale MIMO to large-scale (LS)-MIMO is highly desirable. LS-MIMO technology as a “cleanslate” approach is shown to be capable of dramatically increasing the area spectral efficiency (SE, as measured in bits per second per Hertz per square kilometer) while simultaneously improving the energy efficiency as measured in bits per Joule. Furthermore, the concept of LS-MIMO has established itself as a beneficial transmission/detection paradigm, thus substantially reducing the impact of interference relying on some advanced transmit precoding/ beamforming/detection techniques. This article is intended to offer a state-of-the-art survey on LS-MIMO research, to promote the discussion of its beneficial application areas and the research challenges associated with BF aided Wireless Backhaul, LS-MIMO channel modeling, signal detection, and so on. Additionally, a joint group power allocation and pre-beamforming scheme called JGPAPBF is proposed to substantially improve the performance of LS-MIMO-based Wireless Backhaul in heterogeneous networks. Our hope is that this article will stimulate future research efforts.
