Performance modeling of finite state Markov chains for Nakagami-q and α–μ distributions over adaptive modulation and coding schemes

2013 ◽  
Vol 67 (1) ◽  
pp. 64-71 ◽  
Author(s):  
Vidhyacharan Bhaskar ◽  
Nagireddy Peram
Keyword(s):  
Markov Chains ◽  
Performance Modeling ◽  
Adaptive Modulation ◽  
Adaptive Modulation And Coding ◽  
Coding Schemes ◽  
Finite State

scholarly journals Reducing CQI Signalling Overhead in HSPA

2008 ◽  
Vol 2008 ◽  
pp. 1-5 ◽  
Author(s):  
Saied M. Abd El-atty ◽  
Dimitrios N. Skoutas ◽  
Angelos N. Rouskas
Keyword(s):  
High Speed ◽  
Adaptive Modulation ◽  
Prediction Method ◽  
Wireless Channel ◽  
Traffic Load ◽  
Adaptive Modulation And Coding ◽  
Reporting Scheme ◽  
Channel Quality ◽  
Finite State ◽  
Adaptation Procedure

The efficiency of adaptive modulation and coding (AMC) procedure in high speed Downlink packet access (HSDPA) depends on the frequency of the channel quality information (CQI) reports transmitted by the UE to Node B. The more frequent the reports are the more accurate the link adaptation procedure is. On the other hand, the frequent CQI reports increase uplink interference, reducing thus the signal reception quality at the uplink. In this study, we propose an improved CQI reporting scheme which aims to reduce the required CQI signaling by exploiting a CQI prediction method based on a finite-state Markov chain (FSMC) model of the wireless channel. The simulation results show that under a high downlink traffic load, the proposed scheme has a near-to-optimum performance while produces less interference compared to the respective periodic CQI scheme.

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