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This model can be adapted to outdoor millimeter-wave overlay networks as well as to indoor deployments.
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The algorithms and the framework implementation is illustrated with the results of two indoor deployment scenarios.
The average power delay profiles of indoor models related to indoor deployment scenarios (Table 5) are illustrated in Fig. 12.
The combined results of the two scenarios will lead to a general low energy indoor deployment rule.
The next paper entitled "Low energy indoor network: deployment optimization" by Siyi Wang, Weisi Guo, and Tim O'Farrell investigates indoor deployment with a minimum of energy to achieve downlink Quality of Service (QoS).
Table 5 CEPD indoor deployment scenario Scenario Antenna gain (dBi), Tx-Rx Link Deployment scenario CM1 8–13 LOS Antenna alignment Residential typical home with multiple rooms.
Our baseline simulation results are reinforced with a novel theoretical framework, which can be used to develop and optimise indoor deployment while causing very little SINR degradation for micro-cell users.
To further facilitate the coordination between APs, for this initial study we postulate an indoor deployment organized around a high-speed local area network (LAN) backhaul, for example, Gigabit Ethernet [27].
Taking prior information-theoretic analyses of network MIMO to the next level, we quantify the spectral efficiency gains obtainable under realistic propagation and operational conditions in a typical indoor deployment.
The article considers two indoor deployment scenarios and shows that there is a shared principle of deployment between them: Concept demonstration: Single Room with and without an outdoor interference source (Simulation and theory); Generic building with multiple rooms on multiple floors with an outdoor interference source (Simulation).
However, such indoor cellular deployments are still not widely implemented and costly.
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