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To address network congestion stemmed from traffic generated by advanced user equipments, in [1] we propose a novel network resource allocation strategy, time-frequency resource conversion (TFRC), via exploiting user behavior, a specific kind of context information. Considering an LTE-type cellular network, a call admission control policy called double-threshold guard channel policy is proposed there to facilitate the implementation of TFRC. In this report, we present state transition analysis of this TFRC-based call admission control policy for an LTE-type cellular network. Overall, there are five categories of events that can trigger a transition of the system state: 1) a new call arrival; 2) a handoff user arrival; 3) a handoff user departure; 4) a call termination; and 5) a periodic time-frequency resource conversion. We analyze them case by case in this report and the validation of the analysis has been provided in [1].
[1] Shengli Xie,et al. Cross-Layer Optimized Call Admission Control in Cognitive Radio Networks , 2010, Mob. Networks Appl..
[2] Duk Kyung Kim,et al. Characterization of soft handoff in CDMA systems , 1999 .
[3] Weihua Zhuang,et al. Virtual Spectrum Hole: Exploiting User Behavior-Aware Time-Frequency Resource Conversion , 2014, IEEE Transactions on Wireless Communications.