ABSTRACT. In Japan, the first generation of digital broadcasting began with broadcast satellites in 2000 and terrestrial broadcasting in 2003. Although satellite broadcasting has spread rapidly, terrestrial broadcasting has a major position following the analog era. Nearly 20 years from the start of digital broadcasting and nearly 10 years from the end of analog broadcasting, advancement of broadcasting services is a major agenda. The government created a road map for that in 2015. Since HDTV services are widely used from the beginning of digitization in Japan, it is assumed that 4K and 8K broadcasts will be the center of next-generation services. According to the road map, commercial service of 4K, 8K broadcast by satellite started in last December. As the next step, advancement of terrestrial broadcasting is the focus. With regard to the advancement of terrestrial broadcasting, several R&Ds have been conducted centering on transmission methods. This talk will outline these backgrounds and the current status of R&D for next-generation terrestrial broadcasting.

ABSTRACT. In 2006 Brazil adopted a modified version of ISDB-T named Brazilian Digital Terrestrial Television System (SBTVD) also known ISDB-Tb that uses the same physical layer of ISDB-T but with MPEG-4/H.264 audio/video coder and a Brazilian middleware Ginga. The Brazilian Association of Technical Standards (ABNT) standardized SBTVD and many countries of Central and South America adopted this system. Last year the first phase of the Analogue switch-off (ASO) process had been completed in the main cities. Now SBTVD Forum is working in an evolutive version of ISDB-Tb that supports immersive audio, HDR video, and a new Ginga Profile D that supports HTML5. The deployment of a new disruptive digital TV standard is expected after the complete ASO. At this time laboratory tests and field trials, are being conducted by some broadcasters and universities to measure the benefices of each standard.

ABSTRACT. "Next-Gen TV status in China", he bring us some ideas on what china's new TV standard is going on and what is the recent focus on terrestrial TV from govermenet, industry and academia.

ABSTRACT. Republic of Korea has meaningfully launched of World’s First Commercial 5G network. In this presentation, I will introduce key technologies and services, which SK Telecom has been working on. Aligning to that, the 5G services such as immersive media (Virtual Reality)/AR (Augmented Reality), AI based media, smart factory and smart office will be addressed.

ABSTRACT. This paper presents Advanced Television Systems Committee (ATSC) 3.0 and 4th Generation (4G) Long-Term Evolution (LTE) cooperation trials for high-quality and reliable mobile broadcasting services. Given the ATSC 3.0 based Layered Division Multiplexing (LDM) and Scalable High Efficiency Video Codec (SHVC) configuration, which is the most spectral-efficient broadcast mode when mobile and fixed services are intended in a single radio frequency (RF) channel, the convergence of broadcast and broadband in the Internet protocol (IP) level is developed and field experimented. Service scenarios in a real field environment includes Base Layer (BL) and Enhancement Layer (EL) switching in a broadcast coverage, switching between broadcast and broadband networks, and hybrid services using both broadcast and broadband networks.

ABSTRACT. The evolved multimedia broadcast multicast service (eMBMS) was incorporated into the LTE system in 3GPP Release-9 and improved in Release-14 to provide cellular multicast/broadcast services together with unicast services using Time-Division-Multiplexing. However, this supplementary system suffers from limitations such as low spectrum efficiency and low data rate. One of the technologies for future eMBMS systems to achieve higher spectrum efficiency and higher transmission capacity is the power based Layered Division multiplexing (LDM) technology. This paper explores the additional opportunistic network capacity gain that is offered by using a 2 layered LDM in a broadcast priority network to deliver mixed broadcast and unicast services over the same frequency band. Simulation results show that in an environment where the base stations are close to each other, LDM can provide an additional full unicast network on top of the single-frequency broadcast network with negligible effects to the broadcasting services. For base stations that are further apart, stronger injection levels are required to achieve the additional unicast network with comparable capacity.

ABSTRACT. In this paper, we deepen the performance analysis of the proposed Hybrid Unicast-Multicast utility-based Network Selection algorithm (HUMANS). It takes into account the exploitation of radio resources when performing the trade-off between quality and device energy consumption in a dense heterogeneous network (DenseNet). The analysis carried out has studied the performance of the algorithm, addressing different classes of services. In particular, high-data rate (e.g., Video streaming, video gaming) class of service has been considered.

ABSTRACT. 3GPP is pursuing a multimedia broadcast multicast service subsystem in 5G (5G-MBMS) based on the latest LTE further evolved MBMS (feMBMS) system in Rel. 14. In this paper, Layered Division Multiplexing (LDM) is proposed as a new addition to the 5G technology toolbox for achieving significantly enhanced spectral efficiency for the 5G-MBMS to efficiently deliver mixed broadcast and unicast services. A capacity analysis is first conducted to derive the capabilities of an LDM-based 5G-MBMS system to deliver broadcast and unicast services in the different signal layers, under the conditions with severe co-channel interference (CCI). It is shown that using LDM can provide a nearly full-capacity unicast network on top of high-quality broadcast network. The broadcast capacity is mainly determined by the power allocations between the two signal layers. The unicast capacity can be maximized by deliberately operating the system in a CCI-limited mode. Simulation results are presented to demonstrate the capacity gain that can be achieved by incorporating LDM in the 5G-MBMS system. This study shows that LDM is one of the enabling technologies to close the gap between the LTE feMBMS capability and the 5G-MBMS requirements.

ABSTRACT. The aim of this paper is to present a bit-level capacity analysis of the non-uniform constellations (NUC) and to evaluate the reasons for their outperformance over a long time used uniform constellations (UC). The analysis is performed for QAM constellations order of 16 and 64, however, the results and conclusions can be extended for biggest orders. Per-SNR optimized 2D NUC are analyzed in the full SNR range of operation, from rectangular Shape like UC at high SNR to total converged NUC, like 4-QAM. The NUC are designed based on the optimization of the BICM capacity equation by mean of a Particle Swarm Optimization Algorithm. The different simulations and the results validation were carried out through the evaluation of the different per-SNR NUC in the BICM capacity equation. No simulations were performed in any coding-decoding chain. In these conditions, its presented that the total condensed NUC for 64-QAM and others with different convergences levels around the 4-QAM shape has capacity gain over the 2D NUC-64-QAM presented in ATSC 3.0 with a code rate of 2/15 for SNR values lowers than 1.6 dB. A capacity gain of up to 0.022 bit/s/Hz was achieved over the ATSC 3.0 NUC.

ABSTRACT. This paper investigates the detection error of RF-watermark type transmitter identification (TxID) signal in a single frequency network (SFN). Based on a Cramer-Rao bound (CRB) of TxID detection, a closed-form outage probability for TxID detection is derived. In order to reflect the practical network condition, the interference from Poisson-distributed out-of-guard interval transmitters are accounted for detection outage probability.

ABSTRACT. The converged network of broadcast and broadband will be a development trend. Non-uniform Constellation (NUC) is one of the advanced technologies in the broadcast physical layer. However, there are different voices in the broadband society regarding the application of NUC. In this paper, 28 different cases are simulated to demonstrate that NUCs can possibly provide performance gains and hold great potential in the converged network. The contribution of this paper is to provide evidence that the NUC could be considered as a key technology into the converged network.

ABSTRACT. Modern communication systems adopt non-uniform constellations (NUCs) to approach Shannon limit. Generally, the design process of NUCs is based on maximizing bit-interleaved coded modulation (BICM) capacity for given channel conditions. However, the traditional Monte Carlo methods for computing BICM capacity cannot ensure the accuracy of NUC optimization with low complexity. This paper proposes a new design method including the derivation of a computable expression about BICM capacity and a new optimization scheme with simplified calculation of gradient in the algorithm. In this way, we obtain a set of 2D-NUCs with low complexity and better performance than those adopted by ATSC 3.0.

ABSTRACT. A Light Field (LF) can be parameterized as an assembly of beams in empty space (e.g. direction and intersection with plane with no starting point). As LFs are a 4D representation of a scene including both color intensity and angular information unlike the conventional 2D images which contain only color information, it is essential to adapt 4D LFs to be handled by file formats designed for assemblies of 2D images. This paper proposes adapting LFs to current production workflows, allowing interoperability between imaging applications and devices. OpenEXR is a standard that provides substantial advantages over conventional multiplexed video files or images, for special effects or in media environment. It can store many data channels, which allows for maximum flexibility in compositing. We have investigated the possibilities to store LFs in this format and also evaluated the different EXR compressions (lossy and lossless). In addition to this, a standard format such as JPEG XT which offers support for high bit depth image representation is also evaluated and compared.

ABSTRACT. Owing to the characteristics of exquisite and efficient presentation, 3D point cloud has attracted significant attentions. Given that dynamic point cloud consists of geometry and texture information, and they often possess different importance on the visual quality. In this paper, we propose a rate allocation scheme for Unequal Error Protection (UEP) in dynamic point cloud. The proposed algorithm is based on the Video-based Point Cloud Compression (V-PCC) standard, which processes point cloud into 2D frame sequences. We allocate the code rate according to different contributions of geometry and texture content to the visual quality, as well as the frame information. The objective evaluation result shows that the proposed UEP algorithm offers quality improvement compared with the Equal Error Protection (EEP) scheme, which is also confirmed by the subjective quality assessment.

ABSTRACT. Compressing Light Field (LF) imaging data is a challenging but very important task for both LF image transmission and storage applications. In this paper, we propose a novel coding solution for LF images using the well-known Wyner-Ziv (WZ) information theorem. First, the LF image is decomposed into a fourth-dimensional LF (4D-LF) data format. Using a spiral scanning procedure, a pseudo-sequence of 4D-LF is generated. This sequence is then compressed in a distributed coding manner as specified in the WZ theorem. Secondly, a novel adaptive frame skipping algorithm is introduced to further explore the high correlation between 4D-LF pseudo-sequences. Experimental results show that the proposed LF image compression solution is able to achieve a significant performance improvement with respect to the standard, notably around 54% bitrate saving when compared with the standard High Efficiency Video Coding (HEVC) Intra benchmark while requiring less computational complexity.

ABSTRACT. In this paper, we introduce how to generate 360° holographic 3D contents to use for the FFT-based CGH algorithm. Then, we demonstrate the results of a wide viewing-zone-angled holographic display system capable of interaction between the 3D content and the user. We generate 1,024 viewpoint holograms in all directions at 360 degrees and construct the holographic display module including an amplitude-modulating SLM, so that we can demonstrate direct interaction of the user with the holographic 3D content. Real-time bidirectional interaction between the user and the holographic 3D content is expected to be applied first in the game or cultural industry and education related industries.

ABSTRACT. Non-orthogonal multiple access (NOMA) has been extensively studied in 5G New Radio (NR) for massive multi-media transmissions in scenarios such as massive Machine-Type Communication (mMTC). Existing researches normally assume synchronous user-multiplexing, which may introduce additional signaling overhead as well as large power consumption. However, the users in mMTC may not have strict synchronization due to signaling reduction and energy efficiency (EE) concern. To this end, two enhanced NOMA schemes are proposed to promote EE of asynchronous NOMA. Specifically, discontinuous transmission and rate splitting are respectively introduced to provide chances for successive interference cancellation receiving, which promotes the received SINR. Numerical simulations validate the advantages of the proposed schemes with respect to EE.

ABSTRACT. The standardization process of the fifth generation of mobile communications (5G), which is considered the key for the new data consumption habits, has already started. In fact, the innovative New Radio (NR) concepts have been included in Release 15. ITU-R has defined new scenario models that could be enabled by 5G NR, among other, Enhanced Mobile Broadband. Undoubtedly, the deployment of 5G communication systems within new environments will not help the frequency resource scarcity by itself. Hence, in order to achieve all the defined objectives, 5G has to be complemented with techniques that allow a considerable increase in the spectrum efficiency. Several interesting techniques have been presented in the literature, whereas Non-Orthogonal Multiple Access (NOMA) is considered as one of the most promising. In this paper, the authors proposed to introduce this technology as part of the 5G NR Release 15 physical layer. The performance of the proposal will be tested with a first approach to the Rel’ 15 NR physical layer. Firstly, the simulation set-up will be described taking into account the implemented modules, and secondly, the results will be presented and discussed.

ABSTRACT. In 2017, the 3rd Generation Partnership Project (3GPP) introduced  "Further evolved Multimedia Broadcast Multicast Service (FeMBMS)" as an extension of the Long Term Evolution (LTE) standard as 3GPP Release 14. FeMBMS includes a dedicated broadcast transmission mode on a separate carrier with an Orthogonal Frequency-Division Multiplexing (OFDM) Cyclic Prefix (CP) length of 200 μs, allowing content providers to offer popular services via FeMBMS using existing High Tower, High Power (HTHP) or Medium Tower, Medium Power (MTMP) infrastructure. Synchronization signals and basic signaling information for FeMBMS are periodically transmitted via a Cell Acquisition Subframe (CAS) utilizing the traditional OFDM CP length of only 16.67 μs. The influence of the short CP length used for transmitting the CAS requires further evaluation. Due to Technische Universität Braunschweig's (TUBS) profound experience with its invention Tower Overlay over LTE-A+, a predecessor of FeMBMS, we were able to implement the world's first FeMBMS transmitter and receiver based on our software defined radio toolkit.

After detailing the architecture of the FeMBMS dedicated mode, this paper presents the  relevant mechanisms of the TUBS 3GPP Release 14 FeMBMS receiver and evaluates the performance of the FeMBMS dedicated broadcast transmission mode based on a field measurement campaign focusing on the reception performance.

ABSTRACT. The applications of unmanned aerial vehicles (UAVs) have increased dramatically in the past decade. Meanwhile, close-range UAV detection has been intriguing by many researchers for its great importance in privacy, security, and safety control. Positioning of the UAV controller (hub) is quite challenging but still difficult. In order to combat this emerging problem for public interest, we propose to utilize a software-defined radio (SDR) platform, namely HackRF One, to enable the UAV hub detection and localization. The SDR receiver can acquire the UAV source signals. The theoretical path-loss propagation model is adopted to predict the signal strength attenuation. Thus, the UAV hub location can be estimated using the modified multilateration approach by only two SDR receivers.

ABSTRACT. Information, signal amplitude and phase change drastically in broadband multimedia communications and broadcasting. Channel coding is a key technology to ensure reliable information transmission in broadband mobile multimedia communication system. Polar codes are the first channel codes that can be proved to achieve channel capacity. In this paper, we propose a fast simplified multi-bit successive cancellation list (Fast-SMSCL) decoding method for polar codes. In our proposed Fast-SMSCL decoding, we take fully use of consecutive information bits and achieve prominent latency reduction of 3% to 58% compared to the existing simplified multi-bit successive cancellation list decoding. In addition, we also propose an architecture of Fast-SMSCL decoder, especially path memory unit and partial sum network. Finally, we implement the decoder on FPGA which achieves high throughput of 125Mbps.

ABSTRACT. This paper investigates the performance gain of additional parity which can be employed for improving the robustness of physical layer [layer-1 (L1)] signaling (L1 signaling) in Advanced Television Systems Committee (ATSC) 3.0. Its performance gain is evaluated in the view point of additional coding gain and diversity gain with extensive computer simulations. We first evaluate the coding gain with the aid of capacity analysis over AWGN channel, and then the diversity gain is evaluated over TU-6 channel based on the ATSC 3.0 frame structure. Numerical results show that additional parity gives significant performance gain under mobile environments.

ABSTRACT. Polar code is the first capacity-achieving channel coding scheme which has been selected for the next generation of wireless communication standard(5G). However, the traditional decoding schemes such as CA-SCL and BP algorithms cannot take into account both BER and latency performance. Inspired by the deep learning technology, we propose a scheme that combine convolutional neural network (CNN) with traditional Belief Propagation (BP) decoding. By exploiting noise correlation for channel decoding under colored noise environment, the proposed scheme can obtain a more accurate estimation of channel noise. We simulate the performance of the proposed scheme under BPSK and 4QAM modulation. For QAM modulation, a scheme that extend the conventional real-valued CNN technique to the complex-valued one is proposed. The results demonstrate that bit error rates (BER) performance can be improved after removing the estimated noise. Compare to the traditional Polar decoding schemes, the proposed scheme has better trade-off between BER and latency performance.

ABSTRACT. In this paper, we proposed a block neural network (BlockNN) decoder for polar code. We equally divided the 2^n bit polar code into many small blocks according to the encoding law, then put them into the neural network of the same structure for processing. This decoder can break through the limit of the code length. In the hardware implementation, this decoding structure of the neural network can be multiplexed and the computational complexity does not increase with the code length, only related to the size of the block.

ABSTRACT. Next generation mobile networks designed to offer new features for User Equipment (UE) and to host more services to improve UEs Quality of Experience (QoE). In this regard, this paper presents the concept, implementation and the components of two of the next generation services so-called: Follow Me Service (FMS) and Multicast Sharing Service (MSS). MSS is a service offered by 5gNB small-cell to UE in indoor environments (e.g. Museum), it enables its clients to use their smart phones in a server-client mode. Server (or host) selects media content from content servers, then casts it to a group of registered clients based on predefined criteria ( subscription-based or relative proximitybased). MSS does not rely on UEs smartphone capabilities, rather on network capabilities. MSS can be provisioned by utilising UEs geolocation information, robust switching mechanism between multiple 5G Radio Access Technology (RAT) and relying on the intelligence of the SDN/NFV Intelligent Home IP Gateway of the Internet of Radio Light (IoRL) project paradigm. Since the infrastructure of the IoRL is not completely ready for deployment, we used Mininet platform to provide performance monitoring with measurements for the service. Simulation results show the effectiveness of our proposal under various use case scenarios by means of eliminating the packet loss rate and improving QoE of the museum users.

ABSTRACT. The indoor visible light positioning (VLP) system is astrongcandidateforfutureindoorpositioningsolutionswiththe fastdevelopmentofvisiblelightcommunicationssystems.Mostof the VLP algorithms are based on a simple model which considers the illuminator as a dot, ignoring its true geometric shape. Since a lot of illuminators are in different shapes, the VLP algorithms failingtoconsidertherealgeometricshapesofilluminatorssuffer from precision degradation. In this paper, a novel indoor VLP algorithmconsideringtherealgeometricshapesofilluminatorsis proposed. Simulation results cohere with the theoretical analysis demonstratetheprecisionoftheproposedalgorithm.Theaverage positioning error of the proposed algorithm is approximately 0.8 cm under noiseless cases, much higher accuracy than the 32 cm average error by VLP algorithms ignoring the true geometric shapes of illuminators.

ABSTRACT. Since visible light communication (VLC) could support high-speed broadband transmission and be combined with existing illumination system, it is an optional technology for multimedia broadcasting, especially for indoor scenario. Furthermore, hybrid modulation could be applied in VLC system to assist data transmission or expand new functions. Researches and experiments show that conventional on-off key (OOK) and orthogonal frequency division multiplexing (OFDM) could be implemented successfully in VLC system respectively, thus it seems that a direct adding of OOK and OFDM signal is a feasible method for hybrid modulation. However, nonlinearity of electro-optical converting in VLC transmitter makes the relationship between transmission performance and amplitude of OOK or OFDM signal different from that in radio frequency (RF) system. In this paper, a mathematical model is built to analyze its performance and predict the bit error rate (BER) using OOK and OFDM signal amplitude in a given VLC system in order to find proper parameters for higher transmission quality. Simulation is also implemented to prove the validity and accuracy of the model.

ABSTRACT. Visible light positioning is considered as one of the most promising candidate for achieving low-cost and massive coverage indoor location based service. However, traditional RSS fingerprint based positioning approach suffers the random RSS signal fluctuation problem which significantly limits the positioning performance. To tackle this problem, this paper presents a deep learning scheme which utilize a regression DNN combined with convolutional auto-encoder (CAE) to provide robust indoor positioning. Instead of using the separate fluctuated RSS reading for positioning, the proposed method takes the RSS temporal image (RTI) composed from a set of consecutive RSS readings as input. By leveraging the spatial and temporal dependency of RTI data with stacked denoising CAE, the proposed network is expected to learn more complex and consistent features from the fluctuating RSS readings and perform better location estimation. Simulation results have shown that the proposed method is capable of providing more stable positioning result from fluctuating RSS data than traditional DNN based method.