A Preoptimized Peak to Average Power Ratio Pulse Shaping Filter and Its Effect on System Specifications

2016 ◽  
Vol 64 (7) ◽  
pp. 2137-2145 ◽  
Author(s):  
John J. Sochacki
Keyword(s):  
Pulse Shaping ◽  
Average Power ◽  
Power Ratio ◽  
Shaping Filter

Low-Complexity Receiver for Massive MIMO-GFDM Communications

2021 ◽  
Author(s):  
Feng-Cheng Tsai ◽  
Fang-Biau Ueng ◽  
Ding-Ching Lin
Keyword(s):  
Time Reversal ◽  
Massive Mimo ◽  
Pulse Shaping ◽  
Transmission Rate ◽  
Average Power ◽  
Base Station ◽  
Fourth Generation ◽  
Power Ratio ◽  
Shaping Filter ◽  
Radiated Power

OFDM has two disadvantages. The first is high peak-to-average power ratio (PAPR), and the second is high out-of-band (OOB) radiated power. In the future communication applications, the diversified scenarios such as Internet of Things, inter-machine communication and telemedicine make the fourth-generation mobile communication no longer applicable. The generalized frequency division multiplexing (GFDM) has a pulse-shaping filter, which has less out-of-band radiated power and peak-to-average power ratio and fewer cyclic prefixes (CP) than OFDM. In order to meet high- data-transmission rate, it is an inevitable trend to install massive multi-input multi-output (massive MIMO) antennas. As the number of antennas increases, so does its complexity. This paper employs time reversal (TR) technology to reduce the computational complexity. Although the number of base station (BS) antennas has increased to eliminate interference, there is still residual interference. In order to eliminate the interference one step further, we deploy a zero forcing equalization (ZF equalization) after the time reversal combination.

scholarly journals Peak to Average Power Ratio Reduction in OFDM Using Pulse Shaping Technique

2016 ◽  
Vol 5 (2) ◽  
pp. 57-64
Author(s):  
Diptadeep Das
Keyword(s):  
Orthogonal Frequency Division Multiplexing ◽  
Pulse Shaping ◽  
Average Power ◽  
Power Ratio ◽  
Multicarrier Transmission ◽  
Additional Degree ◽  
Baseband Signal ◽  
Parallel Data ◽  
Narrowband Channels ◽  
Power Ratio Reduction

Orthogonal Frequency Division Multiplexing (OFDM) is a special type of multicarrier modulation in which a signal is split into several narrowband channels at different frequencies. Here data is divided into parallel data streams each transmitted on a separate band. One of the major drawbacks of multicarrier transmission is the high peak-to-average power ratio (PAPR) of the transmit signal. Nyquist filters provide ISI-free transmission. In this paper we are going to propose some new filters which can formulated in an effort to reduce the peak-to-average power ratio (PAPR) of the baseband signal. While maintaining the same excess bandwidth and the zero inter-symbol interference condition. The proposed filters contain various parameters which gives an additional degree of freedom to minimize PAPR for a given roll-off factor α .

scholarly journals Channel Estimation and Peak-to-Average Power Ratio Analysis of Narrowband Internet of Things Uplink Systems

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Md Sadek Ali ◽  
Yu Li ◽  
Md Khalid Hossain Jewel ◽  
Oluwole John Famoriji ◽  
Fujiang Lin
Keyword(s):  
Internet Of Things ◽  
Channel Estimation ◽  
Communication Systems ◽  
Power Efficiency ◽  
Pulse Shaping ◽  
Minimum Mean Square Error ◽  
Average Power ◽  
Estimation Methods ◽  
Area Network ◽  
Power Ratio

Narrowband Internet of Things (NB-IoT) is a cellular based promising low-power wide-area network (LPWN) technology standardized by the 3rd Generation Partnership Project (3GPP) in release-13 as a part of the future 5th Generation (5G) wireless communication systems. The main design target of NB-IoT was to enhance radio coverage by repeating signal over an additional period of time for the ultralow-end IoT devices that would be operated in extreme coverage environments. But the power efficiency of the low-cost NB-IoT user equipment (NB-IoT UE) in the uplink is the major concern. Coverage improvement from signal repetitions depends on the channel estimation quality at extremely bad radio conditions. The typical operating signal-to-noise ratio (SNR) for NB-IoT is expected to be much lower than the zero. In this paper, we have proposed two efficient narrowband demodulation reference signal (NDMRS)-assisted channel estimation algorithms based on the conventional least squares (LS) and minimum mean square error (MMSE) estimation methods. The theoretical analysis and the link-level performance of our proposed estimation methods are presented. Simulation results exhibit that the proposed methods provide better estimation precision compared to the traditional LS and MMSE methods at the low SNR situations. Furthermore, we have analyzed the raised-cosine (RC) and square-root-raised cosine (RRC) pulse shaping to reduce peak-to-average power ratio (PAPR) as an uplink transmit filter. The PAPR values are evaluated through extensive computer simulations for both single-tone and multi-tone transmissions. Our evaluation results vindicate that the RRC pulse shaping with lower PAPR values is feasible to design of practical NB-IoT uplink transmitter and increases power efficiency.

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