Statistical Beamforming for Multi-Set Space-Time Shift-Keying-Based Full-Duplex Millimeter Wave Communications

被引:1
|
作者
Aljohani, Abdulah Jeza [1 ,2 ]
Moinuddin, Muhammad [1 ,2 ]
Al-Saggaf, Ubaid M. [1 ,2 ]
El-Hajjar, Mohammed [3 ]
Ng, Soon Xin [3 ]
机构
[1] King Abdulaziz Univ, Dept Elect & Comp Engn, Jeddah 21589, Saudi Arabia
[2] King Abdulaziz Univ, Ctr Excellence Intelligent Engn Syst CEIES, Jeddah 21589, Saudi Arabia
[3] Univ Southampton, Sch Elect & Comp Sci, Next Generat Wireless Grp, Southampton SO171BJ, England
关键词
full-duplex; multi-set space-time shift keying; millimeter wave; outage probability; statistical beamforming; PERFORMANCE ANALYSIS; DESIGN; SYSTEMS;
D O I
10.3390/math11020433
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Full-duplex (FD) communication has been shown to provide an increased achievable rate,while millimeter wave (mmWave) communications benefit from a large available bandwidth thatfurther improves the achievable rate. On the other hand, the concept of multi-set space-time shiftkeying (MS-STSK) has been proposed to provide a flexible design trade-off between throughputand performance. Hence, in this work, we consider the design of an FD-aided MS-STSK transceiverfor millimeter wave communications. However, a major challenge is that channel reciprocity is notvalid in mmWave communications due to shorter channel coherence time. Thus, the uplink (UL)pilots cannot be utilized to estimate the downlink (DL) channel. To overcome this challenge, wepropose a beamforming technique based on channel statistics without assuming channel reciprocity.For this purpose, a closed-form expression for the outage probability of the system is derived byemploying the characterization of the ratio of the Indefinite Quadratic Form (IQF). The derivedanalytical expression is then utilized to design optimum beamforming weights using the SequentialQuadratic Programming (SQP)-based heuristic method. Moreover, an Iterative Statistical Method(ISM) of joint transmit and receive beamforming algorithm is also developed by utilizing PrincipleEigenvector (PE) and Generalized Rayleigh Quotient (G-RQ) optimization techniques. Finally, weverify our simulation results with the theoretical analysis.
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页数:15
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