Abstract
This article considers what the minimum energy indoor access point deployment is in order to achieve a certain downlink quality-of-service. The article investigates two conventional multiple-access technologies, namely: LTE-femtocells and 802.11n Wi-Fi. This is done in a dynamic multi-user and multi-cell interference network. Our baseline results are reinforced by novel theoretical expressions. Furthermore, the work underlines the importance of considering optimisation when accounting for the capacity saturation of realistic modulation and coding schemes. The results in this article show that optimising the location of access points both within a building and within the individual rooms is critical to minimise the energy consumption.
Highlights
Recent research shows that more than 50% of voice calls and more than 70% of data traffic are generated indoors [1]
The first one is the traditional outdoor cellular system which deals with real time voice, short messages and mobile broadband (MBB) applications
The other is wireless local area networks (WLANs) which focus on providing non-real time data applications [2]
Summary
Recent research shows that more than 50% of voice calls and more than 70% of data traffic are generated indoors [1]. 1.2 Contribution Given the large number of propagation variables in indoor buildings and its relation to the outdoor cellular network, the article provides a best practice in optimising AP deployment with very little signal to interferenceplus-noise ratio (SINR) degradation for micro-cell users. An approach has been introduced to study the saturated throughput, user QoS and energy consumption performances of 802.11n networks under error-prone channels by extending Bianchi’s model. N refers to the total number of APs. For a given offered load demanded by users, a more spectral efficient deployment is able to transmit the same data for a short transmission time. For a given offered load demanded by users, a more spectral efficient deployment is able to transmit the same data for a short transmission time Over time, this amounts to a reduction of the RH energy consumption. This article proposes novel location optimisation simulation and theoretical results to achieve this
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