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IEEE Transactions on Broadcasting
Journal Prestige (SJR): 0.941
Citation Impact (citeScore): 5
Number of Followers: 12  
 
  Hybrid Journal Hybrid journal (It can contain Open Access articles)
ISSN (Print) 0018-9316
Published by IEEE Homepage  [228 journals]
  • IEEE Transactions on Broadcasting

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      Abstract: Presents a listing of the editorial board, board of governors, current staff, committee members, and/or society editors for this issue of the publication.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • IEEE Transactions on Broadcasting information for authors

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      Abstract: These instructions give guidelines for preparing papers for this publication. Presents information for authors publishing in this journal.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • Latitude-Based Flexible Complexity Allocation for 360-Degree Video Coding

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      Authors: Jielian Lin;Liqun Lin;Weimeng Li;Yiwen Xu;Tiesong Zhao;
      Pages: 572 - 581
      Abstract: The emerging 360-degree video has a good practical prospect in video broadcasting due to its more immersive experience than traditional videos. To maintain a high fidelity with panoramic vision, 360-degree video adopts a significantly increased resolution than planar videos, which also inevitably leads to higher encoding complexity. In this paper, we propose a flexible complexity optimization method for 360-degree video coding, in which the encoder is capable of adapting to different complexity constraints in diversified broadcasting scenarios. In particular, the proposed method is realized with a latitude-based computation complexity allocation. Firstly, it investigates the Coding Unit (CU) partition variation along the latitude (i.e., vertical axis) and divides each video frame into Largest CU (LCU)-based latitude regions. Then, it formulates the complexity allocation problem from the global complexity target to all latitude regions, by considering the intraframe dependencies and Rate-Distortion (RD) models. Finally, it calculates the solution to this complexity allocation problem and further employs it in 360-degree video coding. Comprehensive experiments on the standard dataset reveal the superiority of our method, which achieves a flexible computational time reduction from 14.53% to 68.36% whilst maintaining a high visual quality of compressed videos.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • Optimum Quality Control Algorithm for Versatile Video Coding

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      Authors: Mingliang Zhou;Xuekai Wei;Cheng Ji;Tao Xiang;Bin Fang;
      Pages: 582 - 593
      Abstract: We propose a quality control method that replaces rate control in video coding and achieves quality control with the minimum bit rate. First, based on the rate–distortion model, we establish a Karush–Kuhn–Tucker equation considering the convergent properties of variational inequalities to solve the continuous convex problem. Second, combined with the rate–quality (R-Q) model, the proposed algorithm is implemented under versatile video coding (VVC) to obtain the optimal closed-form solution for the quantization parameters of a coding unit through the Lagrange multiplier method. Experiments reveal that our algorithm can achieve stable video coding quality while guaranteeing coding performance, achieving high quality control accuracy with constant quality.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • Subjective and Objective Video Quality Assessment for Windowed-6DoF
           Synthesized Videos

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      Authors: Chongchong Jin;Zongju Peng;Fen Chen;Gangyi Jiang;
      Pages: 594 - 608
      Abstract: Video Quality Assessment (VQA) for windowed six Degree of Freedom (windowed-6DoF) synthesized viewpoints is conducive to the development and broadcasting of 6DoF immersive video system. To explore this new field, we propose the subjective and objective VQA studies for windowed-6DoF synthesized videos. Stage one, a pioneering windowed-6DoF synthesized video quality database with compressed distortion, rendering distortion, and viewing path discomfort are presented, in which overall 128 videos are synthesized from four sequences with different distortion combinations. Stage two, a no-reference objective VQA method is proposed. Firstly, the video is converted into one traditional spatio-temporal domain (XY-T domain) and two new spatio-temporal domains (XT-Y and TY-X domains). Secondly, the emerging rendering distortion and viewing path discomfort are measured in the XT-Y and TY-X domains based on their respective characteristic statistical models, and the common compressed distortion is measured in XY-T domain. Thirdly, the image numbers of new domains are accurately determined through optical flow based depth estimation. Finally, the regression model plus weighting strategy is used to obtain the ultimate quality score of windowed-6DoF synthesized video. Experimental results on three synthesized video databases illustrate that the proposed objective NR VQA method has a good performance in evaluating various synthesized videos, compared with other classic and state-of-the-art 2D/3D IQA/VQA metrics.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • User Gaze-Driven Adaptation of Omnidirectional Video Delivery Using
           Spatial Tiling and Scalable Video Encoding

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      Authors: Adam Polakovič;Gregor Rozinaj;Gabriel-Miro Muntean;
      Pages: 609 - 619
      Abstract: Omnidirectional video is becoming increasingly popular among viewers, but its delivery requires considerable amount of network bandwidth. Today’s streaming services are transmitting the full spatial angle of omnidirectional videos, although most of the transmitted content is not utilized. Due to both limited bandwidth availability and its dynamic fluctuations, adaptive delivery solutions play a key role in supporting high user quality streaming of omnidirectional videos. This paper describes research which extends the MPEG-DASH Spatial Relationship Description by adding scalable video encoding to spatial tiling. It proposes a novel tile-layering based gaze adaptation algorithm for omnidirectional video delivery and employs it in conjunction with multiple tiling schemes. The benefits of the proposed algorithm with diverse tiling schemes are evaluated objectively in terms of bandwidth savings and adaptation latency. The results show a reduction of network bandwidth requirements to about 30% of the original bandwidth value with a low processing latency of 70.87ms.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • Real-Time LiDAR Point Cloud Compression Using Bi-Directional Prediction
           and Range-Adaptive Floating-Point Coding

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      Authors: Lili Zhao;Kai-Kuang Ma;Xuhu Lin;Wenyi Wang;Jianwen Chen;
      Pages: 620 - 635
      Abstract: Due to the large amount of data involved in the three-dimensional (3D) LiDAR point clouds, point cloud compression (PCC) becomes indispensable to many real-time applications. In autonomous driving of connected vehicles for example, point clouds are constantly acquired along the time and subjected to be compressed. Among the existing PCC methods, very few of them have effectively removed the temporal redundancy inherited in the point clouds. To address this issue, a novel lossy LiDAR PCC system is proposed in this paper, which consists of the inter-frame coding and the intra-frame coding. For the former, a deep-learning approach is proposed to conduct bi-directional frame prediction using an asymmetric residual module and 3D space-time convolutions; the proposed network is called the bi-directional prediction network (BPNet). For the latter, a novel range-adaptive floating-point coding (RAFC) algorithm is proposed for encoding the reference frames and the B-frame prediction residuals in the 32-bit floating-point precision. Since the pixel-value distribution of these two types of data are quite different, various encoding modes are designed for providing adaptive selection. Extensive simulation experiments have been conducted using multiple point cloud datasets, and the results clearly show that our proposed PCC system consistently outperforms the state-of-the-art MPEG G-PCC in terms of data fidelity and localization, while delivering real-time performance.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • Ultra-Low Latency, Stable, and Scalable Video Transmission for
           Free-Viewpoint Video Services

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      Authors: Yu Dong;Li Song;Rong Xie;Wenjun Zhang;
      Pages: 636 - 650
      Abstract: With IT and video technologies evolving rapidly, video services with user interaction emerge, and bring about attracting experiences. The growing bandwidth and latency demands call for advanced transmission techniques which utilize wired, wireless, and 5G cellular network, and cooperate unicast, multicast, and broadcast. Free-viewpoint video, as one of the interactive video applications, can provide users with immersion of real world scenes, and shows potential to be an essential application in future digital life. However, such an application is different from other video services in aspects of computation and communication features, and existing researches are not up to the low frame latency, smooth playback, and high service scalability challenges. In this paper, we target on the above problems, and achieve ultra-low latency and stable video transmission for free-viewpoint video services by improving the performance of multiple system components accordingly. Firstly, the key performance indicator is formulated for such services, and an edge computing based video transmission schema is proposed to achieve ultra-low frame latency. Secondly, a pair of stabilization algorithms at both server and client sides based on application features are introduced to ensure stable encoded video streams before transmission, and smooth playback after that. Thirdly, a cloud-edge-client hybrid free-viewpoint service architecture is proposed, which can provide hierarchical experiences and enlarge the service scale with restricted resources. Experimental results prove the effectiveness of the proposed transmission schema and scheduling algorithms, and feasibility of the proposed service architecture is revealed by qualitative analyses.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • An End-to-End No-Reference Video Quality Assessment Method With
           Hierarchical Spatiotemporal Feature Representation

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      Authors: Wenhao Shen;Mingliang Zhou;Xingran Liao;Weijia Jia;Tao Xiang;Bin Fang;Zhaowei Shang;
      Pages: 651 - 660
      Abstract: In this paper, we propose a deep neural network-based no-reference (NR) video quality assessment (VQA) method with spatiotemporal feature fusion and hierarchical information integration to evaluate the perceptual quality of videos. First, a feature extraction model is proposed by using 2D and 3D convolutional layers to gradually extract spatiotemporal features from raw video clips. Second, we design a hierarchical branching network to fuse multiframe features, and the feature vectors at each hierarchical level are comprehensively considered during the process of network optimization. Finally, these two modules and quality regression are synthesized into an end-to-end architecture. Experimental results obtained on benchmark VQA databases demonstrate the superiority of our method over other state-of-the-art algorithms. The source code is available online.1
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • QAVA: QoE-Aware Adaptive Video Bitrate Aggregation for HTTP Live Streaming
           Based on Smart Edge Computing

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      Authors: Xiaoteng Ma;Qing Li;Longhao Zou;Junkun Peng;Jianer Zhou;Jimeng Chai;Yong Jiang;Gabriel-Miro Muntean;
      Pages: 661 - 676
      Abstract: Currently video streaming in heterogeneous network environments is affected by limited network bandwidth availability and consequent low and variable user Quality of Experience (QoE) levels. In particular, for the case of live video streaming, a very high number of end-clients request content at the same time, generating huge concurrent traffic, and putting pressure on the existing network infrastructure. An approach which helps address this issue is deployment of emerging edge computing technologies to smooth the live streaming traffic and improve QoE by adapting client bitrates and caching content at the edge server. In this context, this paper proposes a novel QoE-aware Adaptive Video bitrate Aggregation scheme for HTTP live streaming based on smart edge computing (QAVA). As an intelligent proxy server, a “smart edge” which deploys QAVA aggregates all the traffic requested by clients for the same live streaming service and adapts their bitrates based on network conditions, client states and video characteristics. The adaptation is performed based on a Deep Reinforcement Learning (DRL)-based algorithm, which is also proposed. The QAVA DRL algorithm is trained and modeled based on a real client experience dataset. The experimental evaluation results presented in this paper show how QAVA outperforms other state-of-the-art adaptive bitrate algorithms in terms of average QoE and QoE fairness.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • STBC-Assisted MDC-NOMA Image Transmission Scheme for Multi-Antenna Systems

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      Authors: Suyue Li;Fanyi Meng;Jian Xiong;Lina Bariah;Sami Muhaidat;Anhong Wang;
      Pages: 677 - 688
      Abstract: As an efficient and interference-resistant coding technique, multiple description coding (MDC) is proposed with the aim to solve the transmission unreliability problem caused by packet errors, loss or blocking delays. The integration of MDC with non-orthogonal multiple access (NOMA) scheme (MDC-NOMA) can effectively boost the robustness and throughput of the underlying system. Additionally, space-time block coding (STBC) can further enhance the system reliability with increased diversity gain, as well as reduced decoding complexity. In this paper, we propose a novel framework referred to as MDC-NOMA-STBC, in which we apply Alamouti STBC integrated with MDC and NOMA to implement more reliable transmission. Specifically, NOMA signals are constructed by superimposing the descriptions from different users, then transmitted by the base station (BS) using Alamouti STBC. In order to substantiate the performance of the proposed framework, first, we derive closed-form expressions of both the outage probability and ergodic rate for each user in a two-antenna BS scenario. Second, for multi-antenna BS, we investigate different antenna selection strategies to further enhance the outage performance under the considered framework, whose analytical expression is provided wherever possible. Third, Monte Carlo simulation results are presented to validate our theoretical framework and to corroborate the superiority of the proposed MDC-NOMA-STBC over state-of-the-art MDC-NOMA scheme. Moreover, under realistic contexts with image transmission, it is confirmed that MDC-NOMA-STBC outperforms its counterpart MDC-NOMA in terms of the peak signal-to-noise ratio and the bit error rate.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • 5G NR Multicast and Broadcast QoS Enhancement With Flexible Service
           Continuity Configuration

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      Authors: He-Hsuan Liu;Hung-Yu Wei;
      Pages: 689 - 703
      Abstract: Multicast and broadcast transmissions enhance the spectrum efficiency by delivering a single packet to multiple terminal users. The service continuity (SC) mechanism enables users to continue the service reception when the original transmission is not available anymore. For multicast and broadcast transmissions, the SC mechanism is different from that of unicast because of the different reception conditions. We design and analyze a set of SC mechanisms for New Radio (NR) multicast and broadcast transmissions (MBS) in this paper. The designed SC mechanisms do not require extra data-forwarding resources while meeting the interruption time requirements of diverse applications. To minimize the signalling overhead while meeting the latency requirements, we propose a dynamic SC configuration framework. With the framework, the network condition information is collected and the most suitable SC mechanism is chosen with its parameters. Simulation results demonstrate that the proposed dynamic configuration framework outperforms the LTE eMBMS solution with up to 84.07% signaling overhead reduction, facilitating a more efficient multicast and broadcast system in NR.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • Enhanced 5G Mobile Broadcasting Service With Shape-Adaptive RIS

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      Authors: Fei Qi;Qiang Liu;Wenjing Li;Peng Yu;Xuesong Qiu;
      Pages: 704 - 711
      Abstract: There emerges a strong trend recently to create an intelligent and controllable wireless transmission environment by installing reconfigurable intelligent surfaces (RIS) on the surface of diverse. We research the use of RIS in 5G multicast TV applications in this paper. In particular, the shape-adaptive RIS is developed to relay 5G multicast TV signals and achieve extra RIS gain. To optimize the shape bending in RIS model, we employ the algorithm of Deep Deterministic Policy Gradient (DDPG), a reinforcement learning technique that combines both Q-learning and Policy gradients. Our simulation results show that RIS can considerably enhance the SINR of worst users and improve the system’s overall Modulation and Coding Scheme (MCS) level for 5G mobile broadcasting services.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • Wireless Resource Scheduling for High Mobility Scenarios: A Combined
           Traffic and Channel Quality Prediction Approach

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      Authors: Jian Xiong;Hengrui Hu;Peng Cheng;Can Yang;Zhiping Shi;Lin Gui;
      Pages: 712 - 722
      Abstract: The rapid growth of mobile data traffic in a high-speed scenario imposes great challenges on wireless system design and optimization, where the inherent Doppler shift, frequent cell switching, and large penetration loss will significantly degrade the quality of transceiver signals. Wireless resource scheduling dynamically allocates wireless resources according to the user channel conditions and quality of service requirement, which is an enabling approach to maximize the resource utilization. In this paper, we develop a new wireless resource scheduling method in high mobility scenario to uplift the system performance. We first propose a feature extraction algorithm to extract the spatial traffic characteristics. On this basis, several time-series prediction algorithms are leveraged to predict the traffic volume. Then, we introduce cell switching indicator (CSI) into channel quality prediction to improve the signal-to-noise ratio (SNR) prediction performance. Based on the predicted results of service traffic and user channel quality variations, a resource scheduling strategy is proposed, which compromises the total system throughput and user satisfaction. Simulation results validate the effectiveness of the proposed scheduling algorithm.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • Flexible User Mapping for Radio Resource Assignment in Advanced Satellite
           Payloads

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      Authors: Tomás Ramírez;Carlos Mosquera;Nader Alagha;
      Pages: 723 - 739
      Abstract: This work explores the flexible assignment of users to beams in order to match the non-uniform traffic demand in satellite systems, breaking the conventional cell boundaries and serving users not necessarily by the corresponding beams yielding more power. The smart beam-user mapping is jointly explored with adjustable bandwidth allocation per beam, and tested against different techniques for payloads with flexible radio resource allocation. Thus, both beam capacity and load are adjusted to cope with the traffic demand. The specific locations of the user terminals play a major role, although their complexity does not increase as part of the proposed scheme. Numerical results are obtained for various non-uniform traffic distributions to evaluate the performance of the solutions. The traffic profile across beams is shaped by the Dirichlet distribution, which can be conveniently parameterized, and makes simulations easily reproducible. Even with ideal conditions for the power allocation, both flexible beam-user mapping and adjustable power allocation similarly enhance the flexible assignment of the bandwidth on average. Results show that a smart pairing of users and beams provides considerable advantages in highly asymmetric demand scenarios, with improvements up to 10% and 30% in terms of the offered and the minimum user rates, respectively, in hot-spot like cases.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • Enhanced Nonuniform Constellations for High-Capacity Communications With
           Low-Complexity Demappers

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      Authors: Hanjiang Hong;Yin Xu;Yiyan Wu;Yihang Huang;Na Gao;Dazhi He;Haoyang Li;Yu Zhang;Wenjun Zhang;
      Pages: 740 - 752
      Abstract: Non-uniform constellations (NUCs) successfully utilize geometrical shaping to approach the Shannon capacity, but increase demapping complexity. In this paper, enhanced non-uniform constellations for low-complexity and high-capacity communications are investigated and addressed in two steps: low-complexity demappers for fixed constellations and the constrained design of enhanced NUCs. First, simplified demappers for NUCs are studied, and modified virtual point searching (VPS)-based demappers are proposed. Theoretical analysis and numerical results show that the proposed modified VPS-based demappers reduce demapping complexity with negligible performance degradation. Secondly, two shaping constraint schemes are proposed to NUC design for the purpose of low complexity and high capacity. NUCs optimized under the proposed constraints outperform the uniform constellations, and the proposed demappers have good applicability to the optimized NUCs. The proposed NUC design constraint schemes and simplified demappers enable solutions to achieve low-complexity high-capacity communication.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • Development of Transmitter and Receiver With Set Partitioning 64APSK Coded
           Modulation Designed on Basis of Channel Capacity

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      Authors: Yuki Koizumi;Yoichi Suzuki;Masaaki Kojima;Kazunori Yokohata;Hisashi Sujikai;
      Pages: 753 - 764
      Abstract: In this paper, we present a prototype transmitter and receiver with set partitioning (SP)-64 amplitude and phase shift keying (APSK) coded modulation we developed for expanding satellite transmission capacity. SP-multi-level coded modulation is a transmission scheme that can improve noise immunity by properly combining a modulation scheme, bit allocation, and error-correction codes. We designed SP-64APSK coded modulation on the basis of channel capacity for expanding satellite transmission capacity. We confirmed that it has higher robustness to additive white Gaussian noise (AWGN) than DVB-S2X’s 64APSK modulation with Gray mapping through computer simulation. We also developed a prototype transmitter and receiver to implement our SP-64APSK coded modulation and evaluated its transmission performances in an AWGN channel and in a non-linear channel simulating 12-GHz-band satellite transponder characteristics. We describe the method of designing our SP-64APSK coded modulation through computer simulation, the modulation/demodulation process, and transmission performances of the prototype transmitter and receiver. We also indicate that 8K ultra-high definition television (UHDTV) with an encoded bit rate of 150 Mbps can be transmitted using the prototype within 34.5 MHz, which is the bandwidth of a single transponder for satellite broadcasting in Japan.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • Analysis of Compressing PAPR-Reduced OFDM IQ Samples for Cloud Radio
           Access Network

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      Authors: Aya Shehata;Philippe Mary;Matthieu Crussiére;
      Pages: 765 - 779
      Abstract: A common problem of the virtualized cloud radio access network architecture (C-RAN) is the compression of the time-domain IQ samples before transmission over the fronthaul link. Considering a multicarrier waveform such as OFDM, whose IQ samples follow a quasi-Gaussian distribution, the conventional Gaussian quantizer may be used as the optimal solution to the compression problem. However, since the high peak-to-average power ratio (PAPR) of OFDM signals remains a serious problem, various techniques may be employed to reduce the time-domain fluctuations of the IQ samples in the OFDM, resulting in a change in its distribution. The latter fact makes the Gaussian quantizer suboptimal. The literature lacks a performance analysis of the conventional OFDM-based compression techniques when the PAPR of the OFDM signal is reduced. Therefore, in this paper, we study for the first time the impact of reducing the PAPR of the OFDM signal before compression in the C-RAN architecture through rate-distortion analysis. We consider clipping and tone reservation PAPR reduction algorithms. The former is the simplest PAPR reduction approach, while the latter is one of the most effective algorithms used in broadcasting standards such as DVB-T2 and ATSC 3.0. We first derive the distribution of the PAPR-reduced OFDM IQ samples. This is used to optimize the thresholds and codebook levels of a non-uniform scalar quantizer and the number of quantization bits allocated for each quantized level in the entropy coding stage, along with the MER performance analysis. The simulation results show that the conventional Gaussian-based compression techniques applied to a PAPR-reduced signal is not very robust to the statistical changes in the signal unless the signal distribution at the input of the Gaussian quantizer is not significantly affected. However, a significant gain is obtained when the quantizer is optimized with respect to the true distribution of the PAPR-reduced IQ samples.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • Generalized Continuous Piecewise Linear Companding Transform Design for
           PAPR Reduction in OFDM Systems

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      Authors: Kaiming Liu;Xiaoyan Cui;Zhitong Xing;Yuan’an Liu;
      Pages: 780 - 796
      Abstract: Linear companding transform (LCT) is one of the most attractive schemes to deal with the inherent problem of high peak-to-average power ratio (PAPR) in orthogonal frequency division multiplexing (OFDM) systems, due to its effectiveness and low complexity. In this paper, a generalized continuous piecewise linear companding (CPLC) transform is proposed. The companding and decompanding functions of the proposed scheme consist of multiple continuous linear segments, and the total number of segments is generalized to be any integer not less than four. These linear segments can provide much adaptability for function shaping, leading to high flexibility for performance tradeoffs among PAPR reduction, bit error rate (BER), out-of-band (OOB) rejection and algorithmic complexity. The continuity of the companding function helps to reduce OOB radiations. Several optimization problems with different targets under the constraint condition of constant average power are constructed. Permissible ranges of key parameters, relationships among these parameters and their influence on algorithmic performance are analyzed. Parameter selecting strategies are also provided. In addition, an iterative receiving method is designed to reduce system BER effectively at the receiver. Simulation results validate the performance superiorities of the proposed scheme to that of other typical companding schemes.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • An Experimental Implementation of China Digital Radio (CDR) Broadcasting
           in Hubei

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      Authors: Li Gao;Jun Liu;Yihang Huang;Aidong Men;
      Pages: 797 - 801
      Abstract: This paper presents the research and implementation of a China Digital Radio (CDR) experimental network in Hubei, China with two FM-CDR transmitting stations and four FM-band channels. To study the coverage discontinuity problem in a large service area, the experimental network employs an intelligent networking solution that incorporates multiple service channels carrying Broadcast and Data Services (BADS) and a Common-Regional-Information Channel (CRIC) carrying both service data and system information. The electronic service guide (ESG) carried by CRIC can inform the receivers about the available contents from current and adjacent stations, which can significantly improve the service quality in the overlapping areas, especially under mobile reception environment. Two RF tuners are used in the receiving terminals to access the CRIC, and the BADS channel, respectively. This paper first presents the frequency analysis and coverage tests of the experimental network, and then summarizes the coverage performances with different transmission parameter combinations. The goal is to gain experience in frequency planning, coverage prediction, as well as supportable services of CDR digital audio broadcasting.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
  • Special Issue on Inter-Tower COmmunications and Networks

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      Pages: 802 - 802
      Abstract: Prospective authors are requested to submit new, unpublished manuscripts for inclusion in the upcoming event described in this call for papers.
      PubDate: Sept. 2022
      Issue No: Vol. 68, No. 3 (2022)
       
 
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