Abstract
This paper proposes a new iterative frequency domain equalization (FDE) algorithm for multiple-input multiple-output (MIMO)-frequency division multiplexing (GFDM) systems. This new FDE scheme is capable of enhancing the system fidelity by considering the complete frequency-domain second order description of the received signal. In addition, a new nulling filter design is also proposed for MIMO-GFDM systems to remove the residual interference, which further improves the system fidelity compared with the traditional scheme. Simulation results are presented to verify the effectiveness and efficiency of the proposed FDE algorithm.
Highlights
To satisfy the communications of emerging applications, e.g., Internet of Things (IoT), ultra high-definition multimedia and virtual reality (VR), fifth generation (5G) wireless communications are faced with more stringent requirements in terms of the transmission rate, system capacity, reliability and latency [1]–[3]
The generalized Frequency Division Multiplexing (GFDM) was proposed for the 5G air interface, because of its low system complexity, flexible spectrum coordination, and low peak-to-average-power ratio (PAPR), which induces a higher power efficiency compared to OFDM [8]
The flexibility of GFDM facilitates its collaboration with single carrier frequency domain equalization (SC-FDE) and filtered bank multi carrier (FBMC) [9]
Summary
To satisfy the communications of emerging applications, e.g., Internet of Things (IoT), ultra high-definition multimedia and virtual reality (VR), fifth generation (5G) wireless communications are faced with more stringent requirements in terms of the transmission rate, system capacity, reliability and latency [1]–[3]. For the case where massive number of users are considered, e.g., applications of IoT and super dense networks [16], [17], the under-determined MIMO systems should be taken into consideration [18] Based on these considerations, it motivates us to devise a novel iterative detection algorithm, which takes advantage of the non-circular nature of the residual interference after subtracting the CAI by their soft symbol estimates, and the performance of MIMO-GFDM systems can be enhanced . It motivates us to devise a novel iterative detection algorithm, which takes advantage of the non-circular nature of the residual interference after subtracting the CAI by their soft symbol estimates, and the performance of MIMO-GFDM systems can be enhanced In addition to this iterative detection algorithm, we propose a new nulling fitter design based on a modified error detection criterion, which is capable of removing the residual interference. Superscripts (·)H, (·)T , (·)∗ denote the Hermitian transpose, transpose, and conjugate, respectively
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
