Adaptive Forward Error Correction Research Articles

ABRF: Adaptive BitRate-FEC Joint Control for Real-Time Video Streaming

Adaptive Forward Error Correction (AFEC) algorithms are proposed to achieve efficient Forward Error Correction (FEC) in Real-Time Communication (RTC). However, current AFEC approaches suffer two key limitations. (1) They do not consider the squeezing effect of redundancy on source bitrate while the squeezing usually happens in real RTC applications with limited bandwidth. (2) They estimate the future packet loss simply, ignoring some critical features of packet loss like randomness and multi-pattern. These drawbacks stop them from providing better Quality of Experience (QoE) in RTC services. We propose ABRF, a general QoE-oriented Adaptive BitRate-FEC joint control algorithm. ABRF makes predictions on the network loss pattern in the coming time and jointly calculates the optimal bitrate-FEC decision based on a QoE model for real-time video streaming. Moreover, ABRF is equipped with a fast adaptation method which helps it generalize across diverse network environments. In terms of Video Multi-method Assessment Fusion (VMAF), experimental results tell that ABRF decreases VMAF degradation caused by packet loss by 68%-95% compared with other AFEC algorithms in real-time video streaming in real-world Internet.

Adaptive Learning Video Streaming with QoE in Multi-Home Heterogeneous Networks

In recent years, real-time video streaming has grown in popularity. The growing popularity of the Internet of Things (IoT) and other wireless heterogeneous networks mandates that network resources be carefully apportioned among versatile users in order to achieve the best Quality of Experience (QoE) and performance objectives. Most researchers focused on Forward Error Correction (FEC) techniques when attempting to strike a balance between QoE and performance. However, as network capacity increases, the performance degrades, impacting the live visual experience. Recently, Deep Learning (DL) algorithms have been successfully integrated with FEC to stream videos across multiple heterogeneous networks. But these algorithms need to be changed to make the experience better without sacrificing packet loss and delay time. To address the previous challenge, this paper proposes a novel intelligent algorithm that streams video in multi-home heterogeneous networks based on network-centric characteristics. The proposed framework contains modules such as Intelligent Content Extraction Module (ICEM), Channel Status Monitor (CSM), and Adaptive FEC (AFEC). This framework adopts the Cognitive Learning-based Scheduling (CLS) Module, which works on the deep Reinforced Gated Recurrent Networks (RGRN) principle and embeds them along with the FEC to achieve better performances. The complete framework was developed using the Objective Modular Network Testbed in C++ (OMNET++), Internet networking (INET), and Python 3.10, with Keras as the front end and Tensorflow 2.10 as the back end. With extensive experimentation, the proposed model outperforms the other existing intelligent models in terms of improving the QoE, minimizing the End-to-End Delay (EED), and maintaining the highest accuracy (98%) and a lower Root Mean Square Error (RMSE) value of 0.001.

Joint Link Rate Selection and Adaptive Forward Error Correction for High-Rate Wireless Multicast

Multicast communication over wireless networks has many potential applications, such as real-time audiovisual content distribution or digital signage systems with multiple remote terminals. However, today’s common 802.11 networks cannot fully support such applications at the link layer due to the technical challenges in achieving both high transmission rate and high reliability for multicast data transfers. Those challenges primarily emerge from the inapplicability of immediate acknowledgment mechanisms of unicast transmissions to the multicast case and the need for finding a common transmission rate for all receivers with diverse channel conditions. The research literature in this domain mainly addresses the problem at the higher layers of the protocol stack. In this article, we present a novel approach that combines wireless link rate selection with an adaptive packet-level Forward Error Correction (FEC) mechanism in order to achieve high-rate and highly reliable multicast in 802.11 wireless networks. The integration of FEC into the 802.11 MAC layer allows direct interaction between the transmission rate and the coding scheme. As a result, potential packet losses caused by higher link rates can be compensated by the adjustable redundancy provided by FEC. In combination with an aggregated receiver feedback mechanism, this yields improved transmission efficiency and reliability for wireless multicast. We investigate this approach in a simulation environment under a realistic wireless channel model in various application scenarios with up to 50 receivers. The results represent significant performance improvements, in terms of throughput, channel utilization, and packet loss, over the state-of-the-art methods for reliable wireless multicast.

Demonstration of flexible access in a rate-adaptive visible light communication system with constellation probabilistic shaping.

In this paper, we propose and experimentally demonstrate a distance-based rate-adaptive visible light communication (VLC) system based on constellation probabilistic shaping (PS) for a multiple-user access network. For users with different access distance, we optimize the transmission data rate close to the channel capacity by applying PS combined with code-rate adaptive FEC at the transmitter side according to the per-user signal-to-noise ratio (SNR) budget. This is also proved to be a convenient way to ensure fine granularity of information rate per user with wider flexibility compared with non-PS modulation formats. We also investigate the performances of different PS-QAM modulation formats under different SNR level when considering peak-to-average power ratio (PAPR) in the VLC system. Optimal PS-QAM and FEC code-rate are also studied in the flexible VLC access system. In addition, in order to overcome the nonlinear distortion in the system, a neural network (NN) is used as the post-equalization. Finally, we demonstrate the flexible access with the net data-rate from 1.84 to 3.37 Gbps for 20 and 1-meter distance, with a maximum 28% overall capacity improvement compared with regular non-PS modulations.

An Adaptive Fuzzy based FEC Algorithm for Robust Video Transmission over Wireless Networks

Forward Error Correction (FEC) is a commonly adopted mechanism to mitigate packet loss/bit error during real-time communication. An adaptive, Fuzzy based FEC algorithm to provide a robust video quality metric for multimedia transmission over wireless networks has been proposed to optimize the redundancy of the generated code words from a Reed-Solomon encoder and to save the bandwidth of the network channel. The scheme is based on probability estimations derived from the data loss rates related to the recovery mechanism at the client end. By applying the adaptive FEC, the server uses the reports to predict the next network loss rate using a curve-fitting technique to generate the optimized number of redundant packets to meet specific residual error rates at the client end. Simulation results in the cellular system show that the video quality is massively adapted to the optimized FEC codes based on the probability of packet loss and packet correlation in a wireless environment.

Performability of Retransmission of Loss Packets in Wireless Sensor Networks

Latest progress in wireless communication technology has enabled the development of low-cost sensor networks with major concern on quality of service (QoS) provisioning. Wireless sensor networks (WSNs) can be adopted in various application domains but each use is likely to pose peculiar technical issues. Basically, we demonstrate that congestion, packet loss and delay have strong influence on the performance of WSNs. In order to implement a realistic sensor network policy to resolve the problem of data delay and avoidance of collisions that lead to packet losses, we develop a system that guarantees QoS in WSNs using Fuzzy Logic Controller (FLC) for sensitivity analysis of the effect of adaptive forward error correction (AFEC). The AFEC approach improves the throughput by dynamically tuning FEC subject to the nature of wireless channel loss thereby optimizing throughput, sensor power utilization, while minimizing traffic retransmission, bit error rate (BER), and energy consumption. Basically, parameters such as packet delivery ratio, packet loss, delay, error rate, and throughput are appraised. The system has a spread procedure which is able to schedule the transmission of the nodes in order to have a data flow that converges from the furthest nodes toward the fusion centre. The key benefit of the scenario showed that, after extensive simulation using realistic field data, the procedure permits a practical approach to obtaining optimal solution to loss packets retransmission problem in WSNs giving a strong improvement on QoS provisioning.

TCP Using Adaptive FEC to Improve Throughput Performance in High-Latency Environments

TCP Using Adaptive FEC to Improve Throughput Performance in High-Latency Environments

Error correction for short-range optical interconnect using COTS transceivers

Nowadays, quantities of commercial off-the-shelf (COTS) optical transceivers are widely equipped in both exiting and abuilding data centers. As data centers are becoming larger and containing more servers, the method to ensure longer and steady transmission with COTS optical transceivers becomes one of the key issues. Meanwhile, variations in the manufacturing of COTS optical transceivers bring in fluctuation of packet error rate (PER) in communication. In this paper, we present an application layer adaptive forward error correction (AL-AFEC) coding scheme for COTS optical transceivers in optical interconnect to solve the problems mentioned above and test its performance in a 10 Gbps Ethernet (10GbE) link using 10GBASE-SR SFP+ modules. Experimental results show that the proposed scheme enables longer transmission distance and the instability introduced by manufactural variations is well settled. Since our scheme requires no extra hardware on optical transceivers, it is a considerable low-cost alternative to improve system reliability and achieve longer transmission distance for COTS optical transceivers.

Cross Layer Design based Hybrid Error Control for Packet Aggregation over WSN

In general sensor networks have a wide range of application and also play a major role in developing precision and timely information. Mostly it deals with real world applications and in many cases the data sensed by the nodes should deliver within the time constriction. Meeting the deadlines is mandate for the applications and the data should be processed as soon as possible and without major data losses. The objective of this scheme is to collect data with high accuracy and low latency. Collecting and processing the data by means of aggregation will greatly reduce the congestion data rate. Cross Layer Design based Hybrid Error Control (CLDHEC) mechanism is proposed for reducing error rate occurred in sensor network which includes formation of network, data aggregation and transmission. Error control technique named Adaptive Forward Error Correction is used to defend the video transmission by recovering source information losses. FEC mechanism along with packet range control greatly increases the FEC efficiency in wireless networks. The service quality for different kind of data can be improved by lessening error rate using adaptive error control mechanism with cross layered design during packet aggregation.

Dynamic data driven big data cooperative control scheme with virtual visualization for mobile multimedia communication

In order to improve the quality of user experience of the wireless mobile multimedia communication and the mobile multimedia communication control efficiency, based on the little data and big data visualization, this paper proposed a mobile multimedia cooperative control algorithm. Firstly, the scale and content of the data generated by the wireless intelligent mobile terminal were considered in heterogeneous network environment. The paper established the consistency guarantee scheme of multimedia data. The control scheme of bandwidth allocation, small data distortion and channel state scheduling are presented. Then, based on the multimedia data frame sequence description of the entity mobile multimedia, according to user needs and three-dimensional space to reorganize the multimedia data. This kind of multimedia data can be used to control the quality of the user by multi dimension cross control of the multimedia stream and the entity captured by the intelligent mobile terminal. NS simulation results from the media playback quality, the quality of user experience and communication control efficiency compared with the proposed control algorithm with the adaptive cooperative FEC based on combination of network coding and channel Coding. The results show that the proposed control algorithm has high real-time performance, high efficiency, high reliability and high user satisfaction.

ANALYTICAL COMPARISON OF THE PERFORMANCE OF ADAPTIVE MODULATION AND CODING IN WIRELESS NETWORK UNDER RAYLEIGH FADING

The aim of this work is to perform an analytic comparison between adaptive modulation (AdM) and adaptive Forward Error Correction (AdFEC) in wireless network telecommunication systems. Through the Gilbert-Elliott model’s, the Packet Error Rate (PER) is calculated and both the throughput and the delay, for different modulations and error correction capacity, have been also investigated. For the throughput criterion adopted, the results show that the AdFEC performs better than AdM for higher values of Signal Noise-to-Ratio (SNR). However, when the SNR has low value the adaptive modulation performs better. For the delay criterion, the time to transmit a packet using AdM is lower than the time to transmit the same packet using AdFEC.

An algorithm for the selection of effective error correction coding in wireless networks based on a lookup table structure

SummaryIn this paper, we propose an adaptive Forward Error Correction (FEC) coding algorithm at the Medium Access Control (MAC) layer used in wireless networks. Our algorithm is based on the lookup table architecture, including a distance lookup table and a bit error rate lookup table. These tables will store the best value of the FEC codes based on different distances and bit error rates. Because radio channels change over time, the bit error rate is always changing, or in the case of mobile nodes, when the transmission distance changes, the bit error rate also changes, so previously proposed algorithms take longer to find the optimal value of the FEC code for data transmission. Our proposed algorithm, however, is based on 2 lookup tables, and thus, it can always quickly select an optimal FEC code during early data transmissions and achieve high performance. We compare our algorithm with other methods based on performance metrics such as the recovery overhead of FEC codes, energy efficiency, and peak‐signal‐to‐noise ratio values in the case of image transmission. Our simulation indicates that the proposed algorithm achieves better performances and proves the correctness of the proposed lookup table architecture.

A Model-based Scalable Reliable Multicast Transport Protocol for Satellite Networks

In this paper, we design a new scalable reliable multicast transport protocol for satellite networks (RMT). This paper is the extensions of paper in [18]. The proposed protocoldoes not require inspection and/or interception of packets at intermediate nodes. The protocol would not require anymodification of satellites, which could be bent-pipe satellites or onboard processing satellites. The proposed protocol is divided in 2 parts: error control part and congestion control part. In error control part, we intend to solve feedback implosion and improve scalability by using a new hybrid of ARQ (Auto Repeat Request) and adaptive forward error correction (AFEC). The AFEC algorithm adapts proactive redundancy levels following the number of receivers and average packet loss rate. This leads to a number of transmissions and the number of feedback signals are virtually independent of the number of receivers. Therefore, wireless link utilization used by the proposed protocol is virtually independent of the number of multicast receivers. In congestion control part, the proposed protocol employs a new window-based congestion control scheme, which is optimized for satellite networks. To be fair to the other traffics, the congestion control mimics congestion control in the wellknown Transmission Control Protocol (TCP) which relies on “packet conservation” principle. To reduce feedback implosion, only a few receivers, ACKers, are selected to report the receiving status. In addition, in order to avoid “drop-to-zero” problem, we use a new simple wireless loss filter algorithm. This loss filter algorithm significantly reduces the probability of the congestion window size to be unnecessarily reduced because of common wireless losses. Furthermore, to improve achievable throughput, we employ slow start threshold adaptation based on estimated bandwidth. The congestion control also deals with variations in network conditions by dynamically electing ACKers.

백색 LED기반 가시광 통신시스템의 선택적 FEC 적용을 통한 BER 성능 향상에 관한 연구

본 논문에서는 White 색상을 달성하기 위한 R, G, B 혼합비율 Type을 기반으로 상대적으로 열화된 BER성능 을 달성하는 파장 대역에 Forward Error Correction (FEC) 기법을 적용하여, 전체 시스템의 BER성능을 향상 시킬 수 있는 가시광 통신 시스템을 제안한다. FEC기법으로 Low Density Parity Check (LDPC) 코드를 적용하였으며, LDPC 부호는 Shannon의 한계치에 가장 근접하는 오류정정 부호로 평가되고 있으며, 오류마루(error floor) 현상이 나타나지 않고, 완전 병렬처리가 가능하여 고속 복호가 가능한 장점을 가지고 있다. 이와 같은 시스템에서 LDPC채널 코딩을 각 파장 대역에 부분적으로 적용함으로써, 주파수 효율 감소 및 데이터 전송률 감소를 완화 할 수 있다.

An adaptive cross-layer error control protocol for wireless multimedia sensor networks

In this paper, we introduce a new adaptive cross-layer error control protocol (NAC) for reliable and efficient real-time multimedia streaming in Wireless Sensor Networks (WSN). The proposed protocol uses an adaptive Forward Error Correction (FEC) algorithm in the application layer, a dynamic hybrid FEC/ARQ method, and an Unequal Error Protection (UEP) mechanism in the wireless link layer. Moreover, it dynamically tunes the amount of erasure codes per group of packets based on mean absolute deviation of recently measured average round-trip times, and cross-layer information such as arrival of acknowledgment packets, network traffic load, and wireless channel state. In fact, by dynamically determining suitable redundancy for the source packet based on the packet loss rate in the hybrid FEC/ARQ error control algorithm in the wireless link layer, we achieve significant improvements over the existing error control schemes, while decreasing the number of retransmissions in ARQ mechanism. Our comprehensive simulations show that the proposed NAC protocol achieves better performance compared to the popular error control schemes in terms of energy efficiency, frame loss rate, frame Peak Signal-to-Noise Ratio (PSNR), and delay-constrained PSNR for real-time multimedia streaming over sensor networks.

Energy-Aware Group LBS Using D2D Offloading and M2M-Based Mobile Proxy Handoff Mechanisms Over the Mobile Converged Networks

Since smart phones are always equipped with both cellular and Wi-Fi interfaces, this paper exploits the feasibility of the Wi-Fi-based device-to-device offloading mechanism to reduce cellular traffic. In our group location-based service (LBS) scenario, a group of users travel outdoors together and utilize their smart phones to form a mobile converged network, which is composed of cellular and Wi-Fi networks, to download and share the neighboring LBS data. Due to the wide-range coverage of the cellular network and the keeping-moving characteristic of users, one of these smart phones is selected to play the role of mobile proxy to download the shared LBS data using its cellular interface and then disseminate to other members using multicast over the Wi-Fi network, in which one adaptive FEC mechanism is adopted to tackle the packet loss situation. Besides, a user-transparent machine-to-machine-based mobile proxy handoff mechanism is devised such that each smart phone can play the role of mobile proxy alternately to evenly consume each smart phone’s power and thus extend the service time of the group LBS scenario. That is, the proposed offloading mechanism not only offloads the cellular network traffic but also reduces the power consumption.

QoS-Aware Forward Error Correction Cooperating with Opportunistic Routing in Wireless Multi-hop Networks

QoS provisioning in wireless multi-hop networks is always a hot researching issue, and QoS is mainly influenced by symbol error rate and transmission delay. Conventional adaptive forward error correction and opportunistic routing cannot perceive the wireless networks' condition well for improving the QoS performance, because the transmission delay and reliability are contradictory for each other, and both of adaptive forward correction and opportunistic routing only focus on optimizing one side. In this paper, we propose QoS-aware forward error correction cooperating with opportunistic routing (QFEC-OR), which balances the reliability and effectiveness to improve QoS performance. Then we adopt a better QoS performance perception parameter--20---80 perception parameter to make QFEC-OR superior for QoS experience. We compare QFEC-OR with two kinds of encoding schemes combined with OR to illustrate QFEC-OR's efficiency, and compare QFEC-OR employing 20---80 perception parameter with two kinds of perception parameters employed in QFEC-OR to illustrate the 20---80 perception parameter makes QFEC-OR provide better QoS performance. Simulation results demonstrate the higher effectiveness of QFEC-OR with 20---80 perception parameter for QoS provisioning in wireless multi-hop networks.

Energy Efficiency Analysis in Adaptive FEC-Based Lightpath Elastic Optical Networks

In this paper, an energy efficiency (EE) analysis for elastic optical networks (EONs) considering the adaptive allocation of the transmitted power, spectrum bandwidth, modulation format and forward error correction (FEC) type has been proposed. The trade-off between the FEC coding types and the optical layer EE (OL-EE) was investigated considering the capacity of information transmission and power consumption. The power consumption model considers elements involved in the lightpath establishment, namely transmitter, receiver, bandwidth-variable optical crossconnect (BV-OXC), optical amplifiers and network control. Numerical examples have demonstrated EE increasing for the lightpaths when adaptive FEC coding is deployed; furthermore, the EE varies with the distance of the optical network nodes and hop count. In this sense, it is observed that the EE decreases with the increasing of FEC energy per bit consumption; however, an operation region is verified in which the overall EE network with FEC is superior to the system without FEC coding. After this point, the increases in the FEC energy per bit consumption will affect negatively the EE metric. For instance, with the proposed OL-EE model it is possible to determinate the maximum energy consumption allowed to the FEC codes without OL-EE system degradation.

Benefit of adaptive FEC in shared backup path protected elastic optical network.

We apply an adaptive forward error correction (FEC) allocation strategy to an Elastic Optical Network (EON) operated with shared backup path protection (SBPP). To maximize the protected network capacity that can be carried, an Integer Linear Programing (ILP) model and a spectrum window plane (SWP)-based heuristic algorithm are developed. Simulation results show that the FEC coding overhead required by the adaptive FEC scheme is significantly lower than that needed by a fixed FEC allocation strategy resulting in higher network capacity for the adaptive strategy. The adaptive FEC allocation strategy can also significantly outperform the fixed FEC allocation strategy both in terms of the spare capacity redundancy and the average FEC coding overhead needed per optical channel. The proposed heuristic algorithm is efficient and not only performs closer to the ILP model but also does much better than the shortest-path algorithm.

QoE-driven video delivery improvement using packet loss prediction

The video delivery over wireless networks has risen in popularity in the recent years. However, in order to provide a high quality of experience (QoE) to the end users, it is necessary to deal with several challenges ranging from the fluctuating bandwidth and scarce resources to the high error rates. The use of these error-prone networks unveils the need for an adaptive mechanism to ensure the quality of the delivered video streams. Adaptive forward error correction (FEC) techniques with QoE assurance are desired to protect the stream, preserving the video quality. The adaptive FEC-based mechanism proposed in this article uses several video characteristics and packet loss rate prediction to shield real-time video transmission over static wireless mesh networks, improving both user experience and the usage of resources. This is possible through a combination of a random neural network, to categorise motion intensity of the videos, and an ant colony optimisation scheme, for dynamic redundancy allocation. The benefits and drawbacks are demonstrated through simulations and assessed with QoE metrics, showing that the proposed mechanism outperforms both adaptive and non-adaptive schemes.