Power Allocation for Space Shift Keying in Underwater Acoustic Communication

被引：0
|
作者：
Sun, Yue [1 ]
Wang, Jintao [1 ,2 ,3 ]
He, Longzhuang [1 ]
机构：
[1] Tsinghua Univ, Dept Elect Engn, Tsinghua Natl Lab Informat Sci & Technol TNList, Beijing 100084, Peoples R China
[2] Nat Engn Lab DTV Beijing, Beijing 100191, Peoples R China
[3] Shenzhen City Key Lab Digital TV Syst, Shenzhen, Peoples R China
来源：
2016 IEEE/OES CHINA OCEAN ACOUSTICS SYMPOSIUM (COA) | 2016年
关键词：
Power allocation; Lagrange multiplier method (LMM); genetic algorithm; channel state information (CSI); space shift keying (SSK); multiple-input multiple-output (MIMO); underwater acoustic communication (UAC); MODULATION;
D O I：
暂无
中图分类号：
O42 [声学];
学科分类号：
070206 ; 082403 ;
摘要：
Multiple-inpnt multiple-output (MIMO) is considered to be the key technology to improve the spectral efficiency for underwater acoustic communication (UAC) systems. As a novel architecture of MIMO system, space shift keying (SSK) is proposed to improve the energy efficiency comparing with traditional MIMO architecture. In this paper, the Lagrange multiplier method (LMM) is applied to solve the power allocation problem in SSK system, and a genetic based heuristic method is proposed to provide superior performance of symbol error rate (SER). Comparing with other prescaling techniques of SSK, such as multi-antenna space modulation (MSMod) and modified SSK (MSSK), the genetic based heuristic method can keep the benefits of SSK, while having a lower computational complexity at the receiver. The Monte Carlo simulation results are shown to verify the SER performance of this proposed method.
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页数：5
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