System Level Performance Analysis of Advanced Antenna ... - Centers
System Level Performance Analysis of Advanced Antenna ... - Centers
System Level Performance Analysis of Advanced Antenna ... - Centers
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Introduction<br />
adaptive variation <strong>of</strong> the transmission parameters is referred to as link adaptation (LA), and<br />
can be done every 2 ms (i.e. three slots), which is the duration <strong>of</strong> the radio frame, also referred<br />
to as Transmission Time Interval (TTI). The channel quality estimates for the LA algorithm<br />
can be obtained from the CLPC commands for the associated DL DPCH, the ACK/NACK<br />
ratio or the CQI sent by the UEs through the UL HS-DPCCH [33]. Note that fast power<br />
control is not allowed on the HS-PDSCHs.<br />
A fast physical layer retransmission scheme with chase combining or incremental<br />
redundancy (Hybrid Automatic Repeat reQuest, H-ARQ) is specified, which provides time<br />
diversity and facilitates faster retransmissions than in Release’99, where this process is<br />
handled by the RLC functionality at the RNC. In addition, the PS functionality is also moved<br />
from the RNC to the Node-B, which enables the possibility to consider the fast variations <strong>of</strong><br />
the radio channel in the scheduling decisions, which can be made on a TTI basis. The<br />
operational principle <strong>of</strong> HSDPA is illustrated in Figure 1.7, and Table 1.1 provides a<br />
summary <strong>of</strong> the key properties <strong>of</strong> DCH and HS-DSCH [1], [34].<br />
Channel quality feedback<br />
(CQI, Ack/Nack, CLPC<br />
commands)<br />
UE1<br />
UE2<br />
Data<br />
Channel quality feedback<br />
(CQI, Ack/Nack, CLPC<br />
commands)<br />
Data<br />
Figure 1.7: HSDPA operational principle.<br />
1.3 Assessment methodology<br />
Constant transmit power<br />
Adaptive modulation & coding<br />
Fast packet scheduling<br />
Fast layer 1 retransmissions<br />
(HARQ)<br />
Fast scheduling is done directly in<br />
Node-B based on feedback<br />
information from the UE and<br />
knowledge <strong>of</strong> current traffic state.<br />
As shown in Figure 1.8, there are several approaches to evaluate the performance <strong>of</strong><br />
cellular systems. Each <strong>of</strong> them has advantages and disadvantages. Typically, simple<br />
theoretical studies involve low cost, and can give a reasonable approximation by using simple<br />
mathematical models. However, more detailed studies are problematic due to the high<br />
complexity <strong>of</strong> UMTS.<br />
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