The noise rise limits the maximum allowed propagation loss between UE and Node B. As we can observe in figure 5, with the maximum expected load, the system is dimensioned to satisfy a certain amount of users, which implies a static configuration, since the assigned cell power stays fixed. Given these considerations classical planning dimensions the system for a balance point, where as a function of a maximum expected load and a level of interference in the cell, we get a coverage range that guarantees the QoS.
This relationship is shown in figure 6. Because of the nature of mobile communications it is understandable that there is a difference between the network static dimensioning for the expected peak traffic and the real traffic flow in the network as we can see in figure 7. This load behavior generates a variation on the expected network interference, hence the cell radio varies accordingly 9 and As shown in figure 8, in low traffic load periods, because of the interference limiting issue, the cell range or coverage increases, invading with a high interference power neighboring cells.
On the other hand, in certain periods when there is a high traffic load, that is more than the expected load, the cell range decreases generating coverage holes. This variations lead to three problems:. To deal with these problems we propose a simple algorithm to adjust the power allocation. In figure 10, we observe that by applying the power adjustment mechanism it is possible to modify and adjust the power used by the cell, reducing the cell overshooting or shrinking, and so offering a more suitable cell coverage since the uplink and downlink are more balanced.
Despite the cell overshooting reduction, there are still some time intervals where the cell radio is a bit bigger than expected. As shown in figure 11, lets us correct the amount of power needed in time intervals when there is too much power for the number of connected users B: Dynamic Power.
So reduces the available power. When there are more users than expected the adjustment power control increases the available power in order to attend those extra users A: Dynamic Power.
It provides a good introduction to the technology and is useful for operators who may be deploying VoLTE, product managers responsible for VoLTE products and those who work in implementation and standardization of related technologies. Whether a decision maker or technology analyst, this book explains a topic of substantial global market interest. Studies like  and  present SON mechanisms that use auto-planning or auto-optimization to make it possible to reach energy efficiency. See our disclaimer. Badic, T.
In figure 11 we can observe that by applying a power adjustment mechanism the system can reach a To study the consequences of this energy saving mechanism on the network performance, we analyze the received power of the pilot channel CPICH. We have shown that by employing a simple transmitted power adjustment mechanism we have significant energy saving improvements and we mitigate certain network performance problems. Finally we would like to point out that it is important to continue with research on new mechanisms to minimize the energy consumption by mobile networks and for the UE.
Hossain, S. Munasinghe, A. Niu, Y. Wu, J. Mino, E.
Torrecilla, L. Weng , D. When planning and optimizing the network, there will often be a tradeoff between quality, capacity, and cost.
In some cases, if certain key guidelines are followed, tradeoffs are not necessary and the Stay ahead with the world's most comprehensive technology and business learning platform. Keine Kommentare vorhanden Jetzt ersten Kommentar schreiben! Bewerten Sie jetzt diesen Artikel.
A comprehensive reference book codifying the various standards releases for High Speed Packet Access (HSPA) wireless technology HSPA evolution has. elocusopcraf.ga: HSPA+ Evolution to Release Performance and Optimization ( ): Harri Holma, Antti Toskala, Pablo Tapia: Books.
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