2009 IEEE International Conference on Communications 2009
DOI: 10.1109/icc.2009.5198853
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Contrasting Open-Loop and Closed-Loop Power Control Performance in UTRAN LTE Uplink by UE Trace Analysis

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Cited by 49 publications
(30 citation statements)
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“…A specific implementation is described in [17], where closed-loop correction values i are determined by comparing filtered RSSI and SINR measurements with configurable thresholds representing a two-dimensional decision matrix as shown in Figure 9a. The lower/upper SINR and RSSI thresholds LOW QUAL, UP QUAL, LOW LEV and UP LEV define a so-called PC window.…”
Section: Combined Radio Condition and Load Dependent Trigger Criteriamentioning
confidence: 99%
“…A specific implementation is described in [17], where closed-loop correction values i are determined by comparing filtered RSSI and SINR measurements with configurable thresholds representing a two-dimensional decision matrix as shown in Figure 9a. The lower/upper SINR and RSSI thresholds LOW QUAL, UP QUAL, LOW LEV and UP LEV define a so-called PC window.…”
Section: Combined Radio Condition and Load Dependent Trigger Criteriamentioning
confidence: 99%
“…For this paper, we used the European Telecommunication Standards Institute (ETSI) traffic model [3], where the packets size and the packet transmission timer are assumed to follow the truncated Pareto distribution. The ETSI model is a widely used in various analytical and simulation studies of 3GPP networks, such as [5], [8], [11], [15], [16]. [7] shows that the M/G/∞ model with infinite-variance Pareto distributions can be used to generate self-similar traffic.…”
Section: A Bursty Packet Traffic Modelmentioning
confidence: 99%
“…For this paper, we used the European Telecommunication Standards Institute (ETSI) traffic model [4], where the packets size and the packet transmission timer are assumed to follow the truncated Pareto distribution. The [4] is a widely used in various analytical and simulation studies of 3GPP networks, such as [7], [10], [12], [16], [17]. The LTE DRX mechanism is a semi-Markov process [11] and is illustrated in Figure 2.…”
Section: A Bursty Packet Traffic Modelmentioning
confidence: 99%