Deterministic network coding over Long Term Evaluation Advance communication system

Attar, Hani; Stanković, Lina; Alhihi, Mohamed; Ameen, Ahmed

doi:10.1109/dictap.2014.6821657

Cited by 17 publications

(17 citation statements)

References 10 publications

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“…In Figure 4, we can see that Two-Source NC outperforms N = 50 system by 1 dB of 10 −5 MSNC [11], but when applied CPNC for the N = 50, the BER im- Finally, we can notice clearly in Figure 4 as well, that the more we increase L, the nearer the performance improves towards to AF b as direct transmission needs no sequential network decoding steps. Figure 5 shows that increasing the number of the combined packets (L) has much better BER results than increasing the number of the additional transmitted CMPs, as sending 49 extra CMs in MSNC (which means doubling the data rate) improves the BER by 0.6 dB [15], while in CPNC, when L = 49, the BER performance improves significantly with no extra data rate, we can claim that when L = 49, in CPNC there is around 2 dB improvement at almost the same data rate, which is 1/LN less than pure broadcasting, while the performance is just 0.6 dB with double data rate in MSNC based on NC of bits independently per unit time setups.…”

Section: Simulation Resultsmentioning

confidence: 73%

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Data Combination over Physical Layer Using Network Coding with PUM Turbo Codes

Attar¹

2017

JCC

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The Base Station (BS) or access point is the building block of wireless networks, so, we propose exploiting it together with the Network Coding (NC) principle. NC suffers from the complexity of the decoding processes, i.e., complicated Jordan Gaussian Elimination (JGE) processes. So, this paper proposes a deterministic NC algorithm to reduce the number of sequential network decoding steps, and hence minimizing the complexity of JGE process resulting to better time delay and processing time. We propose an algorithm that combines higher number of the transmitted packets resulting to better data-rate but worse Bet Error Rate (BER). However, using such strong Forward error correction channel code, which is Partial Unit Memory Turbo Code (PUMTC) results to minimize the losses in the BER to a very acceptable lever, in fact, in Decode-and-Forward (DF) BS, the BER can be regarded as minimum. Simulation results, for both Amplify-and-Forward (AF) and DF BS schemes using PUMTC based on (8,4,3,8) component codes, confirm that using PUMTC mitigates the problem of noise aggregation resulting from applying NC in the proposed schemes.

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Section: Simulation Resultsmentioning

confidence: 73%

“…In [11], NC has been applied over Long Term Evaluation Advanced (LTE-A) mobile network over three BSs with a different algorithm for each BS, resulting to such high Packet Error Probability (PEP) improvement compared to the same system, when NC technique is not implemented, i.e., (Benchmark scenario).…”

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confidence: 99%

Data Combination over Physical Layer Using Network Coding with PUM Turbo Codes

Attar¹

2017

JCC

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“…In [6], CoNC was applied over an erasure channel for the application of Long Term Evaluation mobile network, and it shows how the network performance improved significantly mainly in term of power consumption and data rate.…”

Section: Introductionmentioning

confidence: 99%

First Stage Cooperative Network Coding for Wireless Sensor Network

2017

June 29-30, 2017 London (UK) Back CABES-17, RTSET-17, SHSS-17, BELIS-17

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“…In [2] [3] and [4], the influence of improving the routing protocols over communications network was presented for broadcasting network to show how choosing the proper protocol algorithm improves the network performance, so, in [2], combining the transmitted packets resulted to much less transmission traffic over a lossy channel network and in [3] over the physical layer with introducing the Bet Error Rate (BER) for the combined network. In [4], improving the transmission protocols over the long term evaluation advanced communication system resulted to much better Packet Error Probability (PEP).…”

Section: Introductionmentioning

confidence: 99%

Method of Distribution Network Resources after Restoration, the Networks MPLS-TE Use of Various Telecommunications Technologies to Construct Backbone Networks

Alhihi¹

2017

IJCNS

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The modern telecommunication system is characterized by the rapid improvement of information and communication technologies, such as the improvement in the data rate, power consumption and Quality of Service (QoS). Based on this development, the next generation network (NGN) is shaped. The NGN is represented by a packet transport network demarcated functions and services. To provide transport functions in NGN, using Multi-Protocol Label Switching (MPLS) technology, there are two main problems, which are multipath routing and traffic distribution, which are what this paper works with. Accordingly, this paper proposes a solution to these two problems using optimization procedures to find the shortest path Dijkstra and Bellman-Ford, which is characterized by a high-speed-oriented selection of a single shortest path between the source and the destination, based on several selected criteria related to the optimal use of the network resources. Solving the information flow distribution problems in large number of nodes network applying salesman procedure or having NP-completeness, causes significant time delay, which means that the proposed solution is not suitable for real time applications. Accordingly, for real time applications, there is a need to move to other methods based on the use of several independent shortest paths.

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Deterministic network coding over Long Term Evaluation Advance communication system

Cited by 17 publications

References 10 publications

Data Combination over Physical Layer Using Network Coding with PUM Turbo Codes

Data Combination over Physical Layer Using Network Coding with PUM Turbo Codes

First Stage Cooperative Network Coding for Wireless Sensor Network

Method of Distribution Network Resources after Restoration, the Networks MPLS-TE Use of Various Telecommunications Technologies to Construct Backbone Networks

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