Transmission Energy Allocation with Low Peak-to-Average Ratio

作     者：Gadkari, Shrinivas Rose, Kenneth 

作者机构：Univ Calif Santa Barbara Dept Elect & Comp Engn Santa Barbara CA 93106 USA 

出 版 物：《IEEE COMMUNICATIONS LETTERS》 (IEEE Commun Lett)

年 卷 期：1997年第1卷第6期

页      面：166-168页

核心收录：

学科分类：0810[工学-信息与通信工程] 0808[工学-电气工程] 08[工学] 

基　　金：National Science Foundation [NCR-9314335] University of California MICRO ACT Networks, Inc Advanced Computer Communications, Cisco Systems, Inc DSP Group, Inc DSP Software Engineering, Inc Fujitsu Laboratories of America, Inc General Electric Company Hughes Electronics Corp Intel Corp Nokia Mobile Phones, Qualcomm, Inc Rockwell International Corp Texas Instruments, Inc 

主　　题：Joint source-channel coding peak-to-average ratio quadrature amplitude modulation vector quantization 

摘      要：Transmission energy allocation (TEA) to bits according to their sensitivity is known to significantly enhance robustness to channel errors. These advantages are gained at the cost of high peak-to-average ratio (PAR) of the signal energy employed to transmit different bits. We show that, in the case of 4-QAM, appropriate grouping of bits allows achieving all the gains of optimal TEA while maintaining PAR at a small fraction of a decibel. Alternatively, we show how to achieve close to optimal TEA under the constraint of perfect (0 dB) PAR, thus extending the application of TEA to constant envelope modulation schemes. Performance is illustrated with an example of Gauss-Markov sources compressed by vector quantization.