Understanding Hierarchical Modulations, what is interlayer interference and how to quantify it: II Effective Signal-to-Noise Ratio (ESNR)
[Understanding Hierarchical Modulations: I Introduction]
[Understanding Hierarchical Modulations: III Modulation Efficiency]
S. Wang and B. K. Yi, "Optimizing Enhanced Hierarchical Modulations," IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference, New Orleans, LO, 2008, pp. 1-5
[How to Broadcast Multimedia Contents? II Lessons from The Channel]
[How to Broadcast Multimedia Contents? IV Hierarchical Modulation]
[How to Broadcast Multimedia Contents? V Overloaded Transmission and IC]
[How to Broadcast Multimedia Contents? VI Open-Loop MIMO for BCMCS]
[How to Broadcast Multimedia Contents? VII Network Layer or Steam Layer Design]
[Understanding Hierarchical Modulations: III Modulation Efficiency]
S. Wang and B. K. Yi, "Optimizing Enhanced Hierarchical Modulations," IEEE GLOBECOM 2008 - 2008 IEEE Global Telecommunications Conference, New Orleans, LO, 2008, pp. 1-5
[How to Broadcast Multimedia Contents? II Lessons from The Channel]
[How to Broadcast Multimedia Contents? IV Hierarchical Modulation]
[How to Broadcast Multimedia Contents? V Overloaded Transmission and IC]
[How to Broadcast Multimedia Contents? VI Open-Loop MIMO for BCMCS]
[How to Broadcast Multimedia Contents? VII Network Layer or Steam Layer Design]
Besides the throughputs achievable by hierarchical modulations, it is also interesting to understand hierarchical modulations from a practical signal-processing perspective. At this time, the performance of hierarchical
modulation will be evaluated through an actual implementation, where demodulation error is one of the major concerns. In general, it is difficult to give a simple closed-form BER or symbol-error rate (SER) expression for hierarchical
signal constellation, which also depends on receiver design and bits-to-symbol mapping. The BER of square-shaped MQAM constellation and a hierarchical QAM constellation for maximum likelihood (ML) demodulator can be computed by
using recursive algorithms [8]. For a simple QPSK modulation, it is known that the BER is shown in the figure below.
From a signal processing standpoint, demodulation error and capacity degradation may happen when there is a change of interference distribution, even though the received SNR γ is the same. The BER performance of regular QPSK/QPSK becomes
deteriorated in Fig. 7 when ζQPSK/QPSK increases.
However, with optimally rotating the enhancement-layer signal constellation, the performance loss can be recovered. This kind of recovery is more significant with large ζ.
In order to quantify and understand this kind of BER performance loss due to interference and receiver design, one approach we propose for capturing this kind of degradation is to calculate the effective signal-to-noise ratio (ESNR) of the whole transceiver chain, which is defined by
where Pe(γ) is the demodulation BER of the signal with SNR γ, and Ψ−1 (∗) denotes the inverse function of Ψ(·), the demodulation error probability function with no ILI.
The ESNR for the QPSK-modulated base layer or enhancement layer of any hierarchical modulation can be calculated by
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