fixed latexpdf build of LTE docs

This commit is contained in:
Nicola Baldo
2013-12-24 17:35:24 +01:00
parent ff91dd3e26
commit eaa124d2bb
3 changed files with 3 additions and 3 deletions

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@@ -1275,7 +1275,7 @@ The scheduler implements the filtering of the uplink CQIs according to their nat
Channel and QoS Aware Scheduler
-------------------------------
The Channel and QoS Aware (CQA) Scheduler [Bbojovic_sch]_ is an LTE
The Channel and QoS Aware (CQA) Scheduler [Bbojovic2014]_ is an LTE
MAC downlink scheduling algorithm that considers the head of line
(HOL) delay, the GBR parameters and channel quality over
different subbands. The CQA scheduler is based on joint TD and FD

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@@ -144,5 +144,5 @@ References
"Effects of time-to-trigger parameter on handover performance in SON-based LTE systems",
Communications (APCC), 2010 16th Asia-Pacific Conference on, pp.492-496, Oct. 31 2010--Nov. 3 2010
.. [Bbojovic_sch] B. Bojovic, N. Baldo, "A new Channel and QoS Aware Scheduler to enhance the capacity of Voice over LTE systems", SDD conference 2014, preprint version is available: <http://www.cttc.es/?post_type=publication&p=5226>
.. [Bbojovic2014] B. Bojovic, N. Baldo, "A new Channel and QoS Aware Scheduler to enhance the capacity of Voice over LTE systems", SDD conference 2014, preprint version is available: <http://www.cttc.es/?post_type=publication&p=5226>

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@@ -791,7 +791,7 @@ Channel and QoS aware scheduler performance
The performance of the Channel and QoS aware scheduler can be tested in the similar way to performance of
Priority Set scheduler when GBR flows are not delay sensitive by measuring if the achieved throughput at
RLC layer is close to the TBR. Having this in mind, the performance of the CQA scheduler is tested by using
the same test cases as the ``lte-pss-ff-mac-scheduler``. Additionally, in [Bbojovic_sch]_ can be found performance
the same test cases as the ``lte-pss-ff-mac-scheduler``. Additionally, in [Bbojovic2014]_ can be found performance
evaluation of CQA scheduler when the GBR flows are delay sensitive by considering different QoE metrics.
Building Propagation Loss Model