Abstract
In recent years, antenna selection (AS) has become one of the most popular research topics for massive multiple-input multiple-output (MIMO) system due to its capability of reducing the number of radio frequency chains utilized for MIMO communications, while remaining the MIMO advantages, such as increased bandwidth efficiency and reliability. In this paper, an efficient norm-based AS (NBAS) algorithm is investigated and implemented in the software defined radio (SDR) MIMO communication platform, which consists of field-programmable gate arrays (FPGAs). Owing to the high freedom and fast reconfigurable FPGA hardware, the SDR MIMO communication platform is capable of developing prototype of NBAS-aided MIMO system. More specifically, the implemented NBAS aided SDR MIMO system is capable of achieving uplink communication from users to the base station via time division duplex (TDD). A time-varying fading channel generation model is designed for SDR MIMO platform to enrich our experimental results. Additionally, a novel multiplexer (MUX) circuit module is designed and implemented to enhance the hardware performance of the FPGA in term of delay and resource usage. More specifically, the Results show that by implementing the low-complexity NBAS, the channel capacity performance of the SDR MIMO system may be significantly improved by around 15%. It is also showed that our proposed optimized MUX circuit intellectual property may reduce the critical path delay by about 2:16 ns, and save at lease 3% hardware resources in SDR FPGA.
Highlights
In recent years, multiple-input-multiple-output (MIMO) technology has been paid substantial attention for the fifth generation (5G) wireless communication systems due to its capability of increasing bandwidth efficiency and reliability [1]
It is interesting to observe that the 15% capacity gain of N = 8, Ns = 2 norm-based AS (NBAS)-aided MIMO-orthogonal frequency division multiplexing (OFDM) system is higher than 9% of N = 8, Ns = 4 NBAS-aided MIMO-OFDM system, this is because the N = 8, Ns = 2 NBAS-aided MIMO-OFDM systems has the largest antenna selection (AS) factor fAS = 4 according to Eq (12), implying the best effect of selection is accessible
The capacity of NBAS-aided MIMO-OFDM system is higher than that of MIMO-OFDM system without NBAS, as shown in Fig. 12, the N = 8, Ns = 2 NBAS-aided MIMO-OFDM system has the largest performance improvement, which increases 15% capacity gain when compared to N = Ns = 2 MIMO system without NBAS
Summary
Multiple-input-multiple-output (MIMO) technology has been paid substantial attention for the fifth generation (5G) wireless communication systems due to its capability of increasing bandwidth efficiency and reliability [1]. [2], [11] proposed a two-tier channel estimation (TTCE) aided NBAS by jointly selecting Tx and Rx antennas, which showed that by employing joint Tx and Rx AS, the system’s performance may be improved, while retaining low hardware costs and computational complexity. While [18] presented a 5G-oriented ultra-dense distributed MIMO prototype system by using software-defined radios (SDR), which solves problem about timing and frequency synchronization and avoids data loss or error In these inspirations, it is expecting that with the aid of SDR system, the implementation of MIMO with AS will be efficiently achieved, accelerating the theoretical algorithms deploying and system prototyping. By implementing the NBAS aided SDR MIMO system, we analyze the channel capacity performance of the MIMO system under a realistic communication environment. Where M denotes the number of transmit antennas, β denotes the SNR and IN denotes the N × N identity matrix
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.