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Table Of Integrals Series And Products

The upcoming fifth generation (5G) of wireless networks is expected to lay a foundation of intelligent networks with the provision of some isolated artificial intelligence (AI) operations. However, fully intelligent network orchestration and management for providing innovative services will only be realized in Beyond 5G (B5G) networks. To this end, we envisage that the sixth generation (6G) of wireless networks will be driven by on-demand self-reconfiguration to ensure a many-fold increase in the network performance and service types. The increasingly stringent performance requirements of emerging networks may finally trigger the deployment of some interesting new technologies, such as large intelligent surfaces, electromagnetic–orbital angular momentum, visible light communications, and cell-free communications, to name a few. Our vision for 6G is a massively connected complex network capable of rapidly responding to the users’ service calls through real-time learning of the network state as described by the network edge (e.g., base-station locations and cache contents), air interface (e.g., radio spectrum and propagation channel), and the user-side (e.g., battery-life and locations). The multi-state, multi-dimensional nature of the network state, requiring the real-time knowledge, can be viewed as a quantum uncertainty problem. In this regard, the emerging paradigms of machine learning (ML), quantum computing (QC), and quantum ML (QML) and their synergies with communication networks can be considered as core 6G enablers. Considering these potentials, starting with the 5G target services and enabling technologies, we provide a comprehensive review of the related state of the art in the domains of ML (including deep learning), QC, and QML and identify their potential benefits, issues, and use cases for their applications in the B5G networks. Subsequently, we propose a novel QC-assisted and QML-based framework for 6G communication networks while articulating its challenges and potential enabling technologies at the network infrastructure, network edge, air interface, and user end. Finally, some promising future research directions for the quantum- and QML-assisted B5G networks are identified and discussed.

/pdf/quantum-machine-learning-for-6g-communication-networks-state-1zr3shv6z6.pdf

Quantum Machine Learning for 6G Communication Networks: State-of-the-Art and Vision for the Future

Flattening the Earth, Two Thousand Years of Map Projections

Visible light communication (VLC) is a promising solution to the increasing demands for wireless connectivity. Gallium nitride micro-sized light emitting diodes (micro-LEDs) are strong candidates for VLC due to their high bandwidths. Segmented violet micro-LEDs are reported in this work with electrical-to-optical bandwidths up to 655 MHz. An orthogonal frequency division multiplexing-based VLC system with adaptive bit and energy loading is demonstrated, and a data transmission rate of 11.95 Gb/s is achieved with a violet micro-LED, when the nonlinear distortion of the micro-LED is the dominant noise source of the VLC system. A record 7.91 Gb/s data transmission rate is reported below the forward error correction threshold using a single pixel of the segmented array when all the noise sources of the VLC system are present.

/pdf/towards-10-gb-s-orthogonal-frequency-division-multiplexing-rknocqdbal.pdf

Towards 10 Gb/s orthogonal frequency division multiplexing-based visible light communication using a GaN violet micro-LED

Digital holography is a technique that permits digital capture of
holograms and subsequent processing on a digital computer. This
paper reviews various applications of this technique. The presented
applications cover three-dimensional (3-D) imaging as well as several
associated problems. For the case of 3-D imaging, optical and
digital methods to reconstruct and visualize the recorded objects
are described. In addition, techniques to compress and encrypt 3-D
information in the form of digital holograms are presented. Lastly,
3-D pattern recognition applications of digital holography are discussed.
The described techniques constitute a comprehensive approach
to 3-D imaging and processing.

Three-Dimensional Imaging and ProcessingUsing Computational Holographic Imaging

Layered video coding creates multiple layers of unequal importance, which enables us to progressively refine the reconstructed video quality. When the base layer (BL) is corrupted or lost during transmission, the enhancement layers (ELs) must be dropped, regardless whether they are perfectly decoded or not, which implies that the transmission power assigned to the ELs is wasted. For the sake of combating this problem, the class of inter-layer forward error correction (IL-FEC) solutions, also referred to as layer-aware FEC (LA-FEC), has been proposed for layered video transmissions, which jointly encode the BL and the ELs, thereby protecting the BL using the ELs. This tutorial aims for inspiring further research on IL-FEC/LA-FEC techniques, with special emphasis on the family of soft-decoded bit-level IL-FEC schemes.

/pdf/a-tutorial-and-review-on-inter-layer-fec-coded-layered-video-24cryhh1qo.pdf

A Tutorial and Review on Inter-Layer FEC Coded Layered Video Streaming

Layered video coding creates multiple layers of unequal importance that enables us to progressively refine the reconstructed video quality. When the base layer (BL) is corrupted or lost during transmission, the enhancement layers (ELs) must be dropped, regardless of whether they are perfectly decoded or not, which implies that the transmission power assigned to the ELs is wasted. In this treatise, we propose an inter-layer forward error correction (FEC) coded video transmission scheme for mobile TV. At the transmitter, the proposed interlayer (IL) coding technique implants the systematic information of the BL into the ELs by using exclusive-OR operations. At the receiver, the implanted bits of the ELs may be utilized for assisting in decoding the BL. Furthermore, the data partition mode of H.264 video coding is utilized as the source encoder, where the type B and type C partitions will assist in protecting the type A partition. The IL coded bitstream will then be modulated and transmitted over a multifunctional multiple input multiple output (MF-MIMO) scheme for the sake of improving the system's performance in mobile environments. The proposed system may be readily combined with the traditional unequal error protection (UEP) technique, where extrinsic mutual information (MI) measurements are used for characterizing the performance of our proposed technique. Finally, our simulation results show that the proposed system model outperforms the traditional UEP aided system by about 2.5 dB of Eb/N0 or 3.4 dB of peak signal-to-noise ratio (PSNR) at the cost of a 21% complexity increase, when employing a recursive systematic convolutional code. Furthermore, unlike the traditional UEP strategies, where typically stronger FEC-protection is assigned to the more important layer, employing our proposed IL coding technique requires weaker FEC to the more important layer. For example, the system relying on channel coding rates of 0.85, 0.44, and 0.44 for the type A, type B, and type C H.264 video partitions, respectively, achieves the best system performance when employing a recursive systematic convolutional (RSC) code.

/pdf/inter-layer-fec-aided-unequal-error-protection-for-2idd6oi55o.pdf

Inter-Layer FEC Aided Unequal Error Protection for Multilayer Video Transmission in Mobile TV

Layered video coding is capable of progressively refining the reconstructed video quality with the aid of multiple layers of unequal importance. When the base layer (BL) is corrupted or lost due to channel impairments, the enhancement layers (ELs) must be discarded by the video decoder, regardless whether they are perfectly decoded or not, which implies that the transmission power assigned to the ELs is wasted. To circumvent this problem, we proposed a bit-level inter-layer forward error correction (IL-FEC) scheme for layered video transmission in our previous work, which implanted the systematic bits of the BL into the systematic bits of the ELs using exclusive-OR operations (XOR). This allowed the receiver to exploit the implanted bits of the ELs for assisting the BL's decoding and hence improved the overall system performance of our IL-FEC aided layered video scheme. In this treatise, we find the specific FEC coding rates in a real-time on-line fashion for the sake optimizing the overall system performance. The proposed procedure is widely applicable to diverse wireless transceivers and FEC codecs. Our simulation results show that the proposed optimized IL-FEC system outperforms the traditional optimal UEP by about 1.9 dB of Eb/N0 at a peak signal-to-noise ratio (PSNR) of 38 dB. Viewing the improvements in terms of the video quality, 3.3 dB of PSNR improvement is attained at an Eb/N0 of 10 dB, when employing a recursive systematic convolutional (RSC) code.

/pdf/layered-wireless-video-relying-on-minimum-distortion-inter-4r6rc6hopp.pdf

Layered Wireless Video Relying on Minimum-Distortion Inter-Layer FEC Coding

An energy-efficient indoor visible light communication (VLC) system relying on dynamic user-centric (UC) cluster formation is designed for scalable video streaming. Explicitly, the radically new UC cluster formation technique is based on an amorphous user-to-network association structure, which is ultimately the basis of our energy-efficient indoor VLC system. Furthermore, in order to optimize the system-level energy efficiency, our objective function is selected by jointly considering both the video quality and the power consumption. We then propose a three-tier dynamic-programming-based algorithm for user/layer-level adaptive modulation mode assignment, for access-point-level power allocation and for cluster-level energy efficiency optimization, respectively. Based on a scalable video coded sequence, our simulation results demonstrate the superior performance of our UC clusters compared to the conventional cell design in terms of its energy efficiency, throughput, as well as video quality in most of the scenarios considered.

/pdf/user-centric-visible-light-communications-for-energy-2rwhv6hj9y.pdf

User-Centric Visible Light Communications for Energy-Efficient Scalable Video Streaming

Indoor visible light communication (VLC) using a light emitting diode (LED) transmitter provides a high-signal-to-noise (SNR) link, which is ideal for video transmission. The LED lights illuminate their own attocells and convey video streams in the downlink to multiple mobile terminals (MTs). Three different transmission schemes are considered, namely: the unity frequency reuse, the higher frequency reuse factor-based transmission, and the novel vectored transmission. We then formulate the optimization problems aiming at minimizing the video distortion. This paper commences by evaluating the performance of the MT at specific positions and continues by characterizing the peak SNR (PSNR) degradation across the room. Finally, we quantify the average performance of multiple MTs randomly walking in the room. By investigating the PSNR degradation, the video rate achieved, the energy consumed, and the effects of buffering delay on the video distortion, we demonstrate that the proposed VLC system is capable of supporting high-quality multimedia transmissions.

Yongkai Huo

Papers

A Tutorial and Review on Inter-Layer FEC Coded Layered Video Streaming

Inter-Layer FEC Aided Unequal Error Protection for Multilayer Video Transmission in Mobile TV

Layered Wireless Video Relying on Minimum-Distortion Inter-Layer FEC Coding

User-Centric Visible Light Communications for Energy-Efficient Scalable Video Streaming

Video Streaming in the Multiuser Indoor Visible Light Downlink