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On the influence of the propagation environment on throughput performance in indoor wireless network

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Abstract

Providing high capacity wireless networks that are able to support high throughput requirements within the constraint of finite bandwidth resource is crucial and has been the motivation of this work. Received signal quality may vary under different propagation environments due to variation in user location and base station deployment strategy. The investigation and analysis of throughput performance for downlink orthogonal frequency division multiplexing (OFDM) indoor wireless network is presented in this paper. This investigation requires a cross-layer model that takes into account the received signal quality in the physical layer and resource allocation in the medium access control layer. Results have shown that the coverage performance for an indoor wireless network that adopts the aligned configuration (AC) outperforms the offset configuration (OC) by 18% under a low throughput threshold using either maximum rate or equal allocation scheduling. At high throughput threshold, OC outperforms the AC by up to 33% given that MR is used as the scheduling scheme.

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Notes

  1. Probability mass function is associated with random variables that are discrete unlike probability density function which is associated with continuous random variables.

  2. Relative to the OC.

  3. Extreme SINR here refers to very high and very low SINR values.

  4. Transmission activities of each user arrival is treated individually and has individual user throughput value. Hence, when multiple users arrive at the same location but in different times, this results in multiple throughput values at a particular location.

  5. Consistent coverage refers to the scenario where the percentage area of the floor that meets a particular throughput value does not change significantly as the user distribution varies.

  6. Range is obtained by subtracting the maximum percentage coverage with the minimum percentage coverage for a particular BS configuration and scheduling scheme under varying user distribution.

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Authors and Affiliations

  1. The University of Auckland, Private Bag 92019, Auckland, 1142, New Zealand

    Nadhiya Liyana Mohd Kamal, Kevin W. Sowerby & Michael J. Neve

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  1. Nadhiya Liyana Mohd Kamal
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  2. Kevin W. Sowerby
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  3. Michael J. Neve
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Correspondence to Nadhiya Liyana Mohd Kamal.

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Mohd Kamal, N.L., Sowerby, K.W. & Neve, M.J. On the influence of the propagation environment on throughput performance in indoor wireless network. Wireless Netw 26, 865–878 (2020). https://doi.org/10.1007/s11276-018-1832-y

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