LTE Peak Data Rate Estimation Using Modified alpha-Shannon Capacity Formula

Bin-Salem, Ali Abdulqader; Wan, Tat-Chee; Chong, Yung-Wey; Mohamad, Imad J.

doi:10.1145/2684793.2684795

Cited by 3 publications

(1 citation statement)

References 7 publications

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“…This has been modified by several researchers to simulate the real-life performance of different air interfaces via the Alpha-Shannon formula which translates SINR into throughput rates. For example, Bin-Salem et al [17] have modelled LTE with this approach.…”

Section: Throughput From Sinr Mappingmentioning

confidence: 99%

Capacity and costs for 5G networks in dense urban areas

2018

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A techno--economic analysis of the 5G eMBB (enhanced Mobile BroadBand) scenario in dense urban areas has been accomplished by radio capacity modelling of probable 5G technologies within a 1km 2 grid representing central London.Different density networks were modelled at: 700MHz (macro network), 3.5GHz (micro network) and 24--27.5 GHz(hot spots) -together with 802.11ac access points. Using published data on network costs various deployment options have been evaluated for capacity, headline rate and CAPEX/OPEX. It has been shown that reaching headline rates of 64--100Mbps everywhere is possible with a number of different technology options. Massive increases in capacity (in excess of 100Gbps/km 2 ), however, can only be realistically achieved with millimetre wave (outdoor) and WLAN (internally). The cost of deploying such capacity, however, will be several times that of LTE -we estimate a 4 to 5 times increase in costs for a 100Mbps everywhere network that has x100 capacity increase over existing LTE networks. The cost of rolling out 5G is becoming an important issue and this work provides one of the few published estimates of the economics of ultra--high capacity networks.

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Section: Throughput From Sinr Mappingmentioning

confidence: 99%

Capacity and costs for 5G networks in dense urban areas

2018

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On the Optimizing of LTE System Performance for SISO and MIMO Modes

Bin-Salem

Chong

Hanshi

et al. 2015

2015 3rd International Conference on Artificial Intelligence, Modelling and Simulation (AIMS)

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Efficient models for enhancing the link adaptation performance of LTE/LTE-A networks

Bin-Salem

Wan

Naeem

et al. 2022

J Wireless Com Network

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Link adaptation (LA) is the ability to adapt the modulation scheme (MS) and the coding rate of the error correction in accordance with the quality of the radio link. The MS plays an important role in enhancing the performance of LTE/LTE-A, which is typically dependent on the received signal to noise ratio (SNR). However, using the SNR to select the proper MSs is not enough given that adaptive MSs are sensitive to error. Meanwhile, non-optimal MS selection may seriously impair the system performance and hence degrades LA. In LTE/ LTE-A, the LA system must be designed and optimized in accordance with the characteristics of the physical (e.g., MSs) and MAC layers (e.g., Packet loss) to enhance the channel efficiency and throughput. Accordingly, this study proposes using two LA models to overcome the problem. The first model, named the cross-layer link adaptation (CLLA) model, is based on the downward cross-layer approach. This model is designed to overcome the accuracy issue of adaptive modulation in existing systems and improve the channel efficiency and throughput. The second model, named the Markov decision process over the CLLA (MDP-CLLA) model, is designed to improve on the selection of modulation levels. Besides that, our previous contribution, namely the modified alpha-Shannon capacity formula, is adopted as part of the MDP-CLLA model to enhance the link adaptation of LTE/LTE-A. The effectiveness of the proposed models is evaluated in terms of throughput and packet loss for different packet sizes using the MATLAB and Simulink environments for the single input single output (SISO) mode for transmissions over Rayleigh fading channels. In addition, phase productivity, which is defined as the multiplication of the total throughput for a specific modulation with the difference between adjacent modulation SNR threshold values, is used to determine the best model for specific packet sizes in addition to determine the optimal packet size for specific packet sizes among models. Results generally showed that the throughput improved from 87.5 to 89.6% for (QPSK $$\rightarrow$$ → 16-QAM) and from 0 to 43.3% for (16-QAM $$\rightarrow$$ → 64-QAM) modulation transitions, respectively, using the CLLA model when compared with the existing system. Moreover, the throughput using the MDP-CLLA model was improved by 87.5–88.6% and by 0–43.2% for the (QPSK $$\rightarrow$$ → 16-QAM)and (16-QAM $$\rightarrow$$ → 64-QAM) modulation transitions, respectively, when compared with the CLLA model and the existing system. Results were also validated for each model via the summation of the phase productivity for every modulation at specific packet sizes, followed by the application one-way analysis of variance (ANOVA) statistical analysis with a post hoc test, to prove that the MDP-CLLA model improves with best high efficiency than the CLLA model and the existing system.

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LTE Peak Data Rate Estimation Using Modified alpha-Shannon Capacity Formula

Cited by 3 publications

References 7 publications

Capacity and costs for 5G networks in dense urban areas

Capacity and costs for 5G networks in dense urban areas

On the Optimizing of LTE System Performance for SISO and MIMO Modes

Efficient models for enhancing the link adaptation performance of LTE/LTE-A networks

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