Performance Analysis of User Selected Subband Channel Quality Indicator Feedback Scheme of LTE

Generalized performance analysis and optimization of enhanced power saving semi persistent scheduler

“…where, η is the coding gain loss. We use η = 0.398 as done in [26]. A packet is then successfully decoded after the nth transmission to a user k if γ ef f k,n ≥ S th for all PRBs within the scheduling block, where S th satisfies, 0.8330 = log 2 (1 + 0.398S th ) .…”

“…10.1], should the eNodeB transmit over the allocated scheduling block to a user i at a rate r j bits/RE, if the instantaneous received SNR γ i ∈ [S j−1 , S j ) on all PRBs. A block error rate of less than 10% ensures that the packet is decoded correctly as done in [26]. Each rate r j corresponds to one of the 16 modulation and coding schemes (MCS) that the eNodeB can employ for transmission of data in the downlink.…”

An Accurate Model for EESM and its Application to Analysis of CQI Feedback Schemes and Scheduling in LTE

“…However, EESM was not considered and the analysis was limited to determining the fading-averaged probability that channel information about a given number of clusters of subcarriers is fed back. While [19]- [21] did model the coarseness, the arithmetic mean (AM) of the subcarrier SNRs was used. The AM is less accurate than the EESM [3], but entails a simpler and easier analysis.…”