
In this paper, optimization of minimum mean square error for image transmission using a variable M-QAM system is proposed for improving both power and bandwidth efficiencies. Optimization is based on bit power allocation according to the importance of bits to the overall image quality. An iterative off-line algorithm is presented to find the optimum power allocated and modulation level to different bits. Our results show that a 16-QAM system using the proposed algorithm with optimized bit power allocation provides an improvement in power efficiency as measured by the average Eb/No of about 2 dB over that using a conventional 16-QAM. However, the improvement increases significantly with the variable M-QAM system to about 6 dB while improving the bandwidth efficiency by about 17% over the conventional 16- QAM system.
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 2 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Average | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
