Linear Network Coding for Dynamic Rate Adaptation with Global Resource Tradeoff in Distributed 5G LAA Network
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Linear Network Coding for Dynamic Rate Adaptation with Global Resource Tradeoff in Distributed 5G LAA Network Dan Ye1 Accepted: 5 November 2020 © Springer Science+Business Media, LLC, part of Springer Nature 2020
Abstract 5G cellular network will drive towards higher energy efficiency, lower latency and higher reliable wireless networks. The key contributions can summarize as follows: (1) this paper proposes a feasible method to compute the expected rate and approach the optimal capacity region by upper and lower bounds in 5G cellular network, (2) develops linear network coding and dynamic rate adaptation to improve the throughput and reliability of LAA network, (3) proposes a new E-PDP-MNLC (Efficient Protocol Priority-based Distributed Paired Multicast Network Linear Coding) scheme for LAA network coding.• Networks → Network layer protocols → Routing protocols • Networks → Network algorithms → Data path algorithms → Packet scheduling → Control path algorithms → Network control algorithms. Keywords 5G cellular network · License assisted access · Linear network coding · Dynamic rate adaptation
1 Introduction License Assisted Access (LAA) [1] called LTE-U, is a new and emerging LTE technology that shows promise by combing licensed and unlicensed spectrum more seamlessly. Most importantly, LAA brings all of LTE’s efficiencies sophisticated quality of service controls and robustness to the unlicensed band in a way that compliments Wi-Fi yet provides far greater coverage performance. COPE [2] is the first general algorithm that codes packets across multiple connections, inserting a coding shim between the IP and MAC layers, which identifies coding opportunities by forwarding multiple packets in a single transmission. MORE [3], a new network coding approach to opportunistic routing protocol [4–6] that avoids node-coordination. The primary means of ensuring reliability is retransmission of lost packets. MORE is an efficient networking coding approach for increasing reliability and maximizing network throughput. Network coding can help in dealing with dead spots. Analog network coding * Dan Ye [email protected] 1
Department of Computer Science and Information Engineering, National Taiwan University, Taipei, Taiwan
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(ANC) [7] exploits the interference of strategically picked senders to increment network throughput [8–11]. This paper employs network coding to improve the throughput and reliability of 5G cellular network. It constructs scalable upper and lower bounding models for 5G cellular networks with network equivalence theory. The key approach is to employ channel decoupling method to decompose 5G network into decoupled multiple-access channels and broadcast channels. It achieves simplicity, extensibility and feasibility. Upper and lower bounds can approach the optimal capacity. We consider a Load-based listen-before talk (LB-LBT) mechanism that belongs to the 3GPP’s LBT Category 4, as recommended in [12]. The eNB monitors the channel and uses an energy detection threshold of
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