On the Performance of mm-Wave Massive MIMO Multi-Carrier Modulation Technique for Vehicle-to-Vehicle Communication
Küçük Resim Yok
Tarih
2022
Dergi Başlığı
Dergi ISSN
Cilt Başlığı
Yayıncı
Institute of Electrical and Electronics Engineers Inc.
Erişim Hakkı
info:eu-repo/semantics/closedAccess
Özet
It is expected that the 5G network will cover more eventualities than what present mobile communications systems can handle. One of the primary anticipated future services is vehicle-to-vehicle (V2V) communications, which have demanding requirements at millimeter wave band frequencies. Waveforms that are spectrally confined and scalable are required to make the greatest use of the frequency resources which are currently available without interfering with nearby nodes. A common method used to reduce out-ofband emission is the filtering of OFDM. The use of OFDM results in a high Out of Band and a high Peak to Average Power Ratio (PAPR). This boosts the chances of hiring additional multicarrier waveform varieties to improve the Orthogonal frequency-division multiplexing responses. A collection of data can be transmitted simultaneously over several narrow-band subcarriers using Multi-Carrier Modulation (MCM) methods. MCM was used in this investigation in four different ways to start examining the performance of a single-user preceded mm-Wave massive MIMO wireless advancement systems: orthogonal frequency-division multiplexing, simplified frequency division multiplexing, filter bank multicarrier, and universal filtered multicarrier. These multicarrier modulation techniques rely on symbol and subcarrier filtering to reduce the effect of cyclic prefixes on the bit error rate (BER) and throughput of OFDM. Additionally, the impacts of phase noise are tested, and it is demonstrated that QAM-FBMC is phase noise resilient. © 2022 IEEE.
Açıklama
2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022 -- 29 December 2022 through 30 December 2022 -- Istanbul -- 188710
Anahtar Kelimeler
5G, massive, MIMO, mm-wave, V2V
Kaynak
Proceedings - 2022 International Conference on Artificial Intelligence of Things, ICAIoT 2022
WoS Q Değeri
Scopus Q Değeri
N/A
