Efficient and Reliable Multicast Using Device-to-Device Communication and Network Coding for a 5G Network

Very low latency and high reliability are two of the main requirements for new applications exploiting 5G networks. This is the case for the remote operation of robots or vehicles, the autonomous interaction of equipment in a factory, autonomous driving and tactile internet applications. Although the TCP/IP stack has been sufficient as the end-to-end solution for most of the history of the Internet, a number of surveys have appeared recently presenting many different methods for managing the end-to-end communication to meet the requirements of various technologies such as that of 5G networks. In this paper, we present a novel classification of the literature focused on new end-to-end solutions and the creation of services towards the support of low latency (1 ms) and high reliability (10-9 error rate) in current and future 5G networks. We specifically highlight how the proposals can be classified according to enabling technologies and the specific method used to achieve success in terms of the latency and reliability. The literature related to end-to-end solutions for reliable low-latency communications are organized according to three main topics: (i) end-to-end protocols that improve communication in terms of latency and reliability, (ii) functionality or technologies implemented on the network to support the current demands, and (iii) application programming interfaces that enhance the correct utilization of those protocols and additional technologies.

show abstract

“…Chi et al [121] Coding: Network Coding DP Mgmt: Retransmission Roger et al [122] Ctxt Awa: Cross-layer ECast [123] DP Mgmt: Retransmission…”

Section: Pr-mptcp+ [106]mentioning

confidence: 99%

A Survey of End-to-End Solutions for Reliable Low-Latency Communications in 5G Networks

Rico

Merino

2020

IEEE Access

View full text Add to dashboard Cite

show abstract

“…(1) if every symbol in the received packet is intact then (2) if (a predetermined number) packets received then (3) Generate randomly, linearly combined packets using the received packets (network coding) (4) Send out the network encoded packets (5) end if (6) else (7) Mark the packet as corrupted and send it out (8) end if Algorithm 2: EDEC algorithm for relay nodes.…”

Section: Simulation Platformmentioning

confidence: 99%

“…The network throughput and robustness could be improved when network coding is utilized. Many researchers have proposed to adopt network coding in the upcoming 5G network, such as in [2][3][4]. The core notation of network coding is that it allows the participating nodes to encode incoming packets at intermediate network nodes in a way that when a sink receives the packets, it can recover the original message.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Enjoy the Benefit of Network Coding: Combat Pollution Attacks in 5G Multihop Networks

Ren

et al. 2018

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

In the upcoming 5G era, many new types of networks will greatly expand the connectivity of the world such as vehicular ad hoc networks (VANETs), Internet of Things (IoT), and device-to-device communications (D2D). Network coding is a promising technology that can significantly improve the throughput and robustness of these emerging 5G multihop networks. However, network coding is generally very fragile to malicious attacks such as message content corruption and node compromise attacks. To take advantage of network coding in performance gain while refraining malicious network attacks is an interesting and challenging research issue. In this paper, we propose a new error-detection and error-correction (EDEC) scheme that can jointly detect and remove the malicious attacks based on the underlying error-control scheme for general multihop networks that can model the 5G multihop networks. The proposed scheme can increase the throughput for network with pollution attacks compared to existing error-detection based schemes. Then we propose a low-density parity check (LDPC) decoding based EDEC (LEDEC) scheme. Our theoretical analysis demonstrates that the LEDEC scheme can further increase the throughput for heavily polluted network environments. We also provide extensive performance evaluation and simulation results to validate the proposed schemes. This research ensures the expected performance gain for the application of network coding in the 5G network under malicious pollution attacks.

show abstract

“…It even has a use in disaster scenarios, where D2D communications can be operated without the need for BSs [9][10][11][12][13]. In addition, with respect to energy-efficient end-to-end (E2E) message delivery, routing and service frameworks in wireless communications considering cloud-based Internet of Things (IoT) services, many related research issues are actively investigated [14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

BiPAD: Binomial Point Process Based Energy-Aware Data Dissemination in Opportunistic D2D Networks

et al. 2018

View full text Add to dashboard Cite

Abstract:In opportunistic device-to-device (D2D) networks, the epidemic routing protocol can be used to optimize the message delivery ratio. However, it has the disadvantage that it causes excessive coverage overlaps and wastes energy in message transmissions because devices are more likely to receive duplicates from neighbors. We therefore propose an efficient data dissemination algorithm that can reduce undesired transmission overlap with little performance degradation in the message delivery ratio. The proposed algorithm allows devices further away than the k-th furthest distance from the source device to forward a message to their neighbors. These relay devices are determined by analysis based on a binomial point process (BPP). Using a set of intensive simulations, we present the resulting network performances with respect to the total number of received messages, the forwarding efficiency and the actual number of relays. In particular, we find the optimal number of relays to achieve almost the same message delivery ratio as the epidemic routing protocol for a given network deployment. Furthermore, the proposed algorithm can achieve almost the same message delivery ratio as the epidemic routing protocol while improving the forwarding efficiency by over 103% when k ≥ 10.

show abstract

Efficient and Reliable Multicast Using Device-to-Device Communication and Network Coding for a 5G Network

Cited by 23 publications

References 15 publications

A Survey of End-to-End Solutions for Reliable Low-Latency Communications in 5G Networks

A Survey of End-to-End Solutions for Reliable Low-Latency Communications in 5G Networks

Enjoy the Benefit of Network Coding: Combat Pollution Attacks in 5G Multihop Networks

BiPAD: Binomial Point Process Based Energy-Aware Data Dissemination in Opportunistic D2D Networks

Contact Info

Product

Resources

About