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Publications (10 of 192) Show all publications
Zhang, Z., Xiao, Y., Ma, Z., Xiao, M., Ding, Z., Lei, X., . . . Fan, P. (2019). 6G WIRELESS NETWORKS Vision, Requirements, Architecture, and Key Technologies. IEEE Vehicular Technology Magazine, 14(3), 28-41
Open this publication in new window or tab >>6G WIRELESS NETWORKS Vision, Requirements, Architecture, and Key Technologies
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2019 (English)In: IEEE Vehicular Technology Magazine, ISSN 1556-6072, E-ISSN 1556-6080, Vol. 14, no 3, p. 28-41Article in journal (Refereed) Published
Abstract [en]

A key enabler for the intelligent information society of 2030, 6G networks are expected to provide performance superior to 5G and satisfy emerging services and applications. In this article, we present our vision of what 6G will be and describe usage scenarios and requirements for multi-terabyte per second (Tb/s) and intelligent 6G networks. We present a large-dimensional and autonomous network architecture that integrates space, air, ground, and underwater networks to provide ubiquitous and unlimited wireless connectivity. We also discuss artificial intelligence (AI) and machine learning [1], [2] for autonomous networks and innovative air-interface design. Finally, we identify several promising technologies for the 6G ecosystem, including terahertz (THz) communications, very-large-scale antenna arrays [i.e., supermassive (SM) multiple-input, multiple-output (MIMO)], large intelligent surfaces (LISs) and holographic beamforming (HBF), orbital angular momentum (OAM) multiplexing, laser and visible-light communications (VLC), blockchain-based spectrum sharing, quantum communications and computing, molecular communications, and the Internet of Nano-Things.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019
National Category
Telecommunications
Identifiers
urn:nbn:se:kth:diva-257800 (URN)10.1109/MVT.2019.2921208 (DOI)000481980100006 ()2-s2.0-85069918860 (Scopus ID)
Note

QC 20190912

Available from: 2019-09-12 Created: 2019-09-12 Last updated: 2019-09-12Bibliographically approved
Huang, S. & Xiao, M. (2019). Achievable Rate Analysis of Millimeter Wave Channels with Random Coding Error Exponent. In: IEEE International Conference on Communications: . Paper presented at 2019 IEEE International Conference on Communications, ICC 2019; Shanghai International Convention Center, Shanghai; China; 20-24 May 2019. Institute of Electrical and Electronics Engineers (IEEE), 2019, Article ID 8761470.
Open this publication in new window or tab >>Achievable Rate Analysis of Millimeter Wave Channels with Random Coding Error Exponent
2019 (English)In: IEEE International Conference on Communications, Institute of Electrical and Electronics Engineers (IEEE), 2019, Vol. 2019, article id 8761470Conference paper, Published paper (Refereed)
Abstract [en]

Millimeter Wave (mmWave) communication has attracted massive attentions, since the abundant available bandwidth can potentially provide reliable communication with orders of magnitude capacity improvements relative to microwave. However, the achievable rate of mmWave channels under latency and reliability constraints is still not quite clear. We investigate the achievable rates of mmWave channels by random coding error exponent (RCEE) with finite blocklength. With imperfect channel state information at the receiver, the exact and approximate analytical expressions of the training based maximum achievable rate are derived to capture the relationship among rate-latency-reliability. Additionally, the relationship between the training based maximum achievable rate and bandwidth is investigated. We show that there exists critical bandwidth to maximize the training based maximum achievable rate for the non-line-of-sight (NLoS) propagation. Numerical results show that the approximate expression of the training based maximum achievable rate are tight and can capture the tendency at low SNRs. In addition, results show that for a given rate, one can reduce both packet duration and decoding error probability by increasing bandwidth. Results also suggest that in some mmWave bands, e.g. 57-64 GHz band, the performance, i.e., Gallager function, is significantly affected by frequency selective power absorption.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-257932 (URN)10.1109/ICC.2019.8761470 (DOI)000492038802108 ()2-s2.0-85070225516 (Scopus ID)9781538680889 (ISBN)
Conference
2019 IEEE International Conference on Communications, ICC 2019; Shanghai International Convention Center, Shanghai; China; 20-24 May 2019
Note

QC 20190909

Available from: 2019-09-09 Created: 2019-09-09 Last updated: 2019-12-09Bibliographically approved
Yang, P., Xiao, Y., Xiao, M., Guan, Y. L., Li, S. & Xiang, W. (2019). Adaptive Spatial Modulation MIMO Based on Machine Learning. IEEE Journal on Selected Areas in Communications, 37(9), 2117-2131
Open this publication in new window or tab >>Adaptive Spatial Modulation MIMO Based on Machine Learning
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2019 (English)In: IEEE Journal on Selected Areas in Communications, ISSN 0733-8716, E-ISSN 1558-0008, Vol. 37, no 9, p. 2117-2131Article in journal (Refereed) Published
Abstract [en]

In this paper, we propose a novel framework of low-cost link adaptation for spatial modulation multiple-input multiple-output (SM-MIMO) systems-based upon the machine learning paradigm. Specifically, we first convert the problems of transmit antenna selection (TAS) and power allocation (PA) in SM-MIMO to ones-based upon data-driven prediction rather than conventional optimization-driven decisions. Then, supervised-learning classifiers (SLC), such as the K-nearest neighbors (KNN) and support vector machine (SVM) algorithms, are developed to obtain their statistically-consistent solutions. Moreover, for further comparison we integrate deep neural networks (DNN) with these adaptive SM-MIMO schemes, and propose a novel DNN-based multi-label classifier for TAS and PA parameter evaluation. Furthermore, we investigate the design of feature vectors for the SLC and DNN approaches and propose a novel feature vector generator to match the specific transmission mode of SM. As a further advance, our proposed approaches are extended to other adaptive index modulation (IM) schemes, e.g., adaptive modulation (AM) aided orthogonal frequency division multiplexing with IM (OFDM-IM). Our simulation results show that the SLC and DNN-based adaptive SM-MIMO systems outperform many conventional optimization-driven designs and are capable of achieving a near-optimal performance with a significantly lower complexity.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019
Keywords
Index modulation, SM-MIMO, machine learning, neural network, link adaptation
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-257802 (URN)10.1109/JSAC.2019.2929404 (DOI)000481983100013 ()2-s2.0-85071016115 (Scopus ID)
Note

QC 20190912

Available from: 2019-09-12 Created: 2019-09-12 Last updated: 2019-09-12Bibliographically approved
Yu, H., Fei, Z., Cao, C., Xiao, M., Jia, D. & Ye, N. (2019). Analysis of irregular repetition spatially-coupled slotted ALOHA. Science China Information Sciences, 62(8), Article ID 080302.
Open this publication in new window or tab >>Analysis of irregular repetition spatially-coupled slotted ALOHA
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2019 (English)In: Science China Information Sciences, ISSN 1674-733X, E-ISSN 1869-1919, Vol. 62, no 8, article id 080302Article in journal (Refereed) Published
Abstract [en]

Contention-based access is a promising technology for massive and sporadic transmissions. In this paper, we propose a novel contention-based multiple access scheme, named irregular repetition spatiallycoupled slotted ALOHA (IRSC-SA), motivated by the spatial coupling and irregular repetition techniques. There are different classes of users and slots in IRSC-SA, which result in unequal protection for different users. Considering that, we derive a novel density evolution (DE) method, which deals with unequal packet protection and introduces Bayesian reasoning to analyze the throughput threshold of the proposed IRSC-SA. Theoretical analysis and simulation results show that the proposed scheme achieves better asymptotic threshold and system packet throughput performance than the conventional spatially-coupled slotted ALOHA.

Place, publisher, year, edition, pages
SCIENCE PRESS, 2019
Keywords
spatial coupling, coded slotted ALOHA, contention-based access, density evolution, irregular repetition
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-257820 (URN)10.1007/s11432-018-9837-9 (DOI)000482203000002 ()2-s2.0-85068870924 (Scopus ID)
Note

QC 20190906

Available from: 2019-09-06 Created: 2019-09-06 Last updated: 2019-09-06Bibliographically approved
Xue, Q., Fang, X., Xiao, M., Mumtaz, S. & Rodriguez, J. (2019). Beam Management for Millimeter-Wave Beamspace MU-MIMO Systems. IEEE Transactions on Communications, 67(1), 205-217
Open this publication in new window or tab >>Beam Management for Millimeter-Wave Beamspace MU-MIMO Systems
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2019 (English)In: IEEE Transactions on Communications, ISSN 0090-6778, E-ISSN 1558-0857, Vol. 67, no 1, p. 205-217Article in journal (Refereed) Published
Abstract [en]

Millimeter-wave (mm-wave) communication has attracted increasing attention as a promising technology for 5G networks. One of the key architectural features of mm-wave is the possibility of using large antenna arrays at both the transmitter and receiver sides. Therefore, by employing directional beamforming, both mm-wave base stations (MBSs) and mm-wave user equipments (MUEs) are capable of supporting multi-beam simultaneous transmissions. However, most of the existing research results have only considered a single beam. Thus, the potentials of mm-wave have not been fully exploited yet. In this context, in order to improve the performance of short-range indoor mm-wave networks with multiple reflections, we investigate the challenges and potential solutions of downlink multi-user multi-beam transmission, which can be described as a beamspace multi-user multiple-input multiple-output (MU-MIMO) technique. We first exploit the characteristic of MBS/MUEs supporting multiple beams simultaneously to improve the efficiency of multi-user BF training. Then, we analyze the inter-user interference to avoid beam selection conflicts. Furthermore, we propose blockage control strategies and multi-user multi-beam power allocation solutions for the beamspace MU-MIMO. The theoretical and numerical results demonstrate that the beamspace MU-MIMO compared with single beam transmission can largely improve the rate performance and robustness of mm-wave networks.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019
Keywords
Millimeter wave (mm-wave), beamspace MIMO, beamforming (BF) training, inter-user/beam interference, blockage, power allocation
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-244129 (URN)10.1109/TCOMM.2018.2867487 (DOI)000457304400017 ()2-s2.0-85052661803 (Scopus ID)
Note

QC 20190218

Available from: 2019-02-18 Created: 2019-02-18 Last updated: 2019-02-18Bibliographically approved
Pan, F., Pang, Z., Xiao, M., Wen, H. & Liao, R.-F. (2019). Clone Detection Based on Physical Layer Reputation for Proximity Service. IEEE Access, 7, 3948-3957
Open this publication in new window or tab >>Clone Detection Based on Physical Layer Reputation for Proximity Service
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2019 (English)In: IEEE Access, E-ISSN 2169-3536, Vol. 7, p. 3948-3957Article in journal (Refereed) Published
Abstract [en]

Proximity-based service (ProSe) provides direct communications among smart sensor nodes in proximity which aims at reserving resource consumption and alleviating the load in base stations, which is a promising solution for smart sensor systems that possess limited computing and energy resources. During the ProSe direct communications, most of the prior art security methods are usually provided by the ProSe function and are based on complex cryptography. However, despite the computing complexity, it is difficult for cryptographic methods to detect clone attack which is a common kind of attack in sensor systems. Clone nodes feature different physical positions but claim colliding IDs with captured nodes. Thus, clone nodes can be detected by spatial differences, in particular, by the surveillance of physical layer channel state information (CSI). However, CSI is not absolute static due to the random noise in wireless propagation environment. Accordingly, the detection accuracy varies with the stability of CSI. To address this challenge, we take the first attempt to introduce physical layer reputation and then elaborate the physical layer reputation based clone detection protocol to detect clone attack in multiple scenarios. The proposed protocol significantly improves the detection rate and false alarm rate and it is validated both by simulations and realizations.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019
Keywords
Clone detection, proximity service, reputation based detection, smart sensor network
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-243966 (URN)10.1109/ACCESS.2018.2888693 (DOI)000456189100001 ()2-s2.0-85058903715 (Scopus ID)
Note

QC 20190301

Available from: 2019-03-01 Created: 2019-03-01 Last updated: 2019-03-01Bibliographically approved
Yue, J., Xiao, M. & Pang, Z. (2019). Distributed BATS-Based Schemes for Uplink of Industrial Internet of Things. In: ICC 2019 - 2019 IEEE International Conference on Communications (ICC): . Paper presented at 2019 IEEE International Conference on Communications, ICC 2019; Shanghai International Convention Center, Shanghai; China; 20 May 2019 through 24 May 2019. Institute of Electrical and Electronics Engineers (IEEE), 2019
Open this publication in new window or tab >>Distributed BATS-Based Schemes for Uplink of Industrial Internet of Things
2019 (English)In: ICC 2019 - 2019 IEEE International Conference on Communications (ICC), Institute of Electrical and Electronics Engineers (IEEE), 2019, Vol. 2019Conference paper, Published paper (Refereed)
Abstract [en]

In Industrial Internet of Things (IIoTs), data generated during manufacturing are collected by sensors and need be processed timely. The direction of data transmissions from sensors to processing centers (fog nodes) is often called uplink transmission. In this paper, the cases with single and multiple distributed fog nodes, which are also referred to as centralized and distributed models, are studied. Two distributed schemes based on batched sparse (BATS) codes are proposed separately for the uplink of these two models. The expected rank and the recovery probability of the information from sensors at fog node(s) are derived. Comparison results show that by using the proposed BATS-based schemes, improved transmission reliability can be achieved compared to the XOR-based network coding (NC) scheme.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019
Series
IEEE International Conference on Communications, ISSN 1550-3607
Keywords
distributed fog nodes, Industrial Internet of Things, network coding, uplink transmissions
National Category
Communication Systems
Identifiers
urn:nbn:se:kth:diva-258171 (URN)10.1109/ICC.2019.8761656 (DOI)000492038803129 ()2-s2.0-85070224646 (Scopus ID)9781538680889 (ISBN)
Conference
2019 IEEE International Conference on Communications, ICC 2019; Shanghai International Convention Center, Shanghai; China; 20 May 2019 through 24 May 2019
Note

QC 20190910

Available from: 2019-09-10 Created: 2019-09-10 Last updated: 2019-12-09Bibliographically approved
Gao, Y., Xiao, Y., Wu, M. & Xiao, M. (2019). Energy Efficient Power Allocation With Demand Side Coordination for OFDMA Downlink Transmissions. IEEE Transactions on Wireless Communications, 18(4), 2141-2155
Open this publication in new window or tab >>Energy Efficient Power Allocation With Demand Side Coordination for OFDMA Downlink Transmissions
2019 (English)In: IEEE Transactions on Wireless Communications, ISSN 1536-1276, E-ISSN 1558-2248, Vol. 18, no 4, p. 2141-2155Article in journal (Refereed) Published
Abstract [en]

We investigate the energy-efficient power allocation for downlink transmission in orthogonal frequency division multiple access-based long term evolution systems. Aiming at realizing on-demand power allocation in cellular networks, we explore the available coordination between the base station and multiple users, and propose a new performance merit, namely, the demand side coordination energy efficiency (DSC-EE), which captures the system normalized EE and the demand side information. The proposed DSC-EE is designed to exploit individual disparities from both the entire system and the individual own expected utility perspectives. Our goal is to maximize the DSC-EE of the system via power allocation with a constraint on the maximum transmit power. Specifically, the objective function of DSC-EE maximization problem in a fractional form can be transformed into a subtractive form that is more tractable based on the fractional programming theory. The convergence property of the proposed algorithms and the meaningfulness of the proposed performance merit related to the EE are demonstrated by simulations. The comparison of four EE metrics, the EE and the rate fairness, global-EE, Sum-EE, and DSC-EE, shows that the DSC-EE maximization tends to achieve high implementation level of on-demand power allocation while ensuring the EE of the system. In addition, when the minimum rate replaces the expected rate in the DSC-EE, further performance comparison indicates the necessity and impact of the expected rate in the tolerable quality of service bias function.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019
Keywords
Energy efficiency, on-demand power allocation, demand side coordination, quality of service (QoS), expected rate
National Category
Electrical Engineering, Electronic Engineering, Information Engineering
Identifiers
urn:nbn:se:kth:diva-252654 (URN)10.1109/TWC.2019.2900041 (DOI)000467572100010 ()
Note

QC 20190610

Available from: 2019-06-10 Created: 2019-06-10 Last updated: 2019-06-10Bibliographically approved
Qi, N., Xiao, M., Tsiftsis, T. A., Yao, R. & Mumtaz, S. (2019). Energy Efficient Two-Tier Network-Coded Relaying Systems Considering Processing Energy Costs. IEEE Transactions on Vehicular Technology, 68(1), 999-1003
Open this publication in new window or tab >>Energy Efficient Two-Tier Network-Coded Relaying Systems Considering Processing Energy Costs
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2019 (English)In: IEEE Transactions on Vehicular Technology, ISSN 0018-9545, E-ISSN 1939-9359, Vol. 68, no 1, p. 999-1003Article in journal (Refereed) Published
Abstract [en]

In this paper, a two-tier network coding (TNC) scheme is proposed for the multi-user multi-relay transmission scenarios. Specifically, TNC is conducted at each individual relay, where two groups of source messages are combined into one network codeword that is forwarded to dual destinations. Finally, two groups of source messages are jointly recovered from different network codewords at the destinations. Both analytical and simulation results demonstrate that the proposed scheme outperforms the current state of art in terms of the energy efficiency (EE). In addition, the impacts of multiple parameters, including the number of users, SNR and relay locations on the average EE have been demonstrated, which provide valuable insights for the system designs of future wireless networks.

Place, publisher, year, edition, pages
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC, 2019
Keywords
Energy efficiency, outage probability, relay forwarding, two-tier network coding
National Category
Mechanical Engineering
Identifiers
urn:nbn:se:kth:diva-244133 (URN)10.1109/TVT.2018.2881653 (DOI)000457302900085 ()2-s2.0-85056708043 (Scopus ID)
Note

QC 20190218

Available from: 2019-02-18 Created: 2019-02-18 Last updated: 2019-02-18Bibliographically approved
Yang, P., Xiao, Y., Xiao, M., Zhu, J., Li, S. & Xiang, W. (2019). Enhanced Receive Spatial Modulation Based on Power Allocation. IEEE Journal on Selected Topics in Signal Processing, 13(6), 1312-1325
Open this publication in new window or tab >>Enhanced Receive Spatial Modulation Based on Power Allocation
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2019 (English)In: IEEE Journal on Selected Topics in Signal Processing, ISSN 1932-4553, E-ISSN 1941-0484, Vol. 13, no 6, p. 1312-1325Article in journal (Refereed) Published
Abstract [en]

In this paper, we investigate the benefits of power allocation (PA) for multiple-input multiple-output (MIMO) receive spatial modulation (RSM) with both a total transmit power constraint (TTPC) and a per-antenna power constraint (PAPC). First, we derive optimal PA closed-form solutions that maximize the minimum distance d(min) between the received signal points for (N-t x 2)-element RSM with arbitrary phase-shift keying schemes (where N-t is the number of transmit antennas) subject to a TTPC. Based on the derived solutions and the error vector reduction (EVR) method, we propose a low-complexity iterative algorithm to identify PA parameters for high numbers of receive antennas (N-r >= 2). Specifically, the EVR-based PA (EVR-PA) algorithm resembles its traditional exhaustive-search-based counterpart, but only exploits the receive distances of a few dominant error vectors to iteratively optimize the PA matrix. Then, a more strict yet practical PAPC is considered for PA in RSM-MIMO systems, and a well-designed approximate convex optimization (ACO)-based iterative PA algorithm is proposed. Compared to EVR-PA, the ACO-based PA (ACO-PA) algorithm first formulates the PA problems with the PAPC in RSM into constrained quadratic program problems and then utilizes the powerful augmented Lagrangian multiplier to find their optimal solutions. Our simulation results show that the proposed EVR-PA- and ACO-PA-aided RSM schemes outperform the equal-power-allocated RSM- and PA-aided spatial multiplexing schemes.

Place, publisher, year, edition, pages
Institute of Electrical and Electronics Engineers (IEEE), 2019
Keywords
Link adaptation, pre-coding aided spatial modulation (PSM), per-antenna power constraints, power allocation (PA), receive spatial modulation (RSM)
National Category
Signal Processing
Identifiers
urn:nbn:se:kth:diva-265487 (URN)10.1109/JSTSP.2019.2916608 (DOI)000499332700009 ()2-s2.0-85071056582 (Scopus ID)
Note

QC 20191213

Available from: 2019-12-13 Created: 2019-12-13 Last updated: 2019-12-13Bibliographically approved
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Identifiers
ORCID iD: ORCID iD iconorcid.org/0000-0002-5407-0835

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