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Education & Training

IEEE Communications Society Tutorials

View in-depth presentations recorded at recent IEEE Communications Society-sponsored conferences.

These tutorials cover current communications technology topics including wireless communications, RF communications, optical communications, consumer communications, and networking. Complimentary access to these webcasts is brought to you courtesy of our sponsors and will be offered for a limited time.

New Perspectives on Wireless Communication Networks for Industry Automation

Wireless communication is steadily increasing in many industrial automation applications, for the sake of flexible, competitive and cost-efficient production. However, due to the harsh industrial radio-frequency environment and the resource-constrained nodes, there is a need for communication protocols which is able to meet requirements including real-time, high reliability, energy efficiency and so on. So far, several standards such as WirelessHart, ISA100 and WIA-PA, have been proposed for wireless communication in process automation. In factory automation, wireless technologies are also attractive in mobile equipment, such as robot end effectors, track-mounted equipment, rotary equipment and mobile assets, controlling and monitoring, and general wire replacement. Shenyang Institute of Automation, Chinese Academy of Sciences is currently working on the standard WIA-FA which is the unique standard in the word for wireless communication in factory automation.
 
This panel aims to invite famous experts from industry to discuss the new perspectives on wireless communication networks for industry automation.

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Hybrid Beamforming for 5G Millimeter Wave Systems

The upcoming 5G network needs to achieve substantially larger link capacity and ultra-low latency to support emerging mobile applications. While conventional techniques have reached their limits, uplifting the carrier frequency to the millimeter wave (mm-wave) band stands out as an effective approach to further boost the network capacity, as it provides orders of magnitude greater spectrum than current cellular bands. Thus mm-wave communication is becoming synonymous with 5G. Large-scale antenna arrays are needed to fully exploit the performance gains of mm-wave communications, which, however, brings formidable challenges to algorithm design and hardware implementation. Conventional fully digital beamforming techniques are inapplicable, as they demand a separate radio frequency (RF) chain for each antenna element. Hybrid beamforming is recently proposed as a cost- effective alternative, which requires a small number of RF chains, and thus can significantly reduce hardware cost and power consumption. Nevertheless, the successful implementation of hybrid beamforming faces a few key challenges. Due to the unit-modulus constraint for the analog component, hybrid beamforming problems are inherently nonconvex, and may induce unaffordable computational complexity. Furthermore, it is of critical importance to further reduce the hardware complexity of hybrid beamforming structures, as mm-wave components are costly and power hungry. Meanwhile, the reduced hardware complexity may introduce substantial performance degradation compared with fully-digital beamforming. Thus the design of hybrid beamforming differs fundamentally from that of the fully digital one. This tutorial will present recent developments in this active area, including effective hardware structures and beamforming algorithms. A holistic approach will be taken, emphasizing on the three decisive aspects: 1) hardware efficiency (HE), i.e., the required hardware components; 2) computational efficiency (CE) of the associated beamforming algorithm; and 3) achievable spectral efficiency (SE). Through systematic comparison, the interplay and tradeoff among the three design aspects will be demonstrated, and promising candidates for hybrid beamforming in 5G mm-wave systems will be identified.

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Statements and opinions given in a work published by the IEEE or the IEEE Communications Society are the expressions of the author(s). Responsibility for the content of published articles rests upon the authors(s), not IEEE nor the IEEE Communications Society.

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