scispace - formally typeset
Search or ask a question

How do OFDM applied to Wi-Fi and WPAN differ in performance? 


Best insight from top research papers

OFDM applied to Wi-Fi and WPAN differ in performance in terms of peak-to-average power ratio (PAPR), spectral efficiency, and bit error rate (BER) performance. Wi-Fi OFDM systems typically have high PAPR, requiring power amplifiers to operate with large input power backoff . On the other hand, WPAN OFDM systems use a quasi-constant-amplitude scheme to reduce PAPR, resulting in lower levels of out-of-band emission (OOBE) . In terms of spectral efficiency, WPAN OFDM systems based on multiwavelets achieve higher efficiency compared to Wi-Fi OFDM systems based on discrete Fourier transform (DFT) . Additionally, WPAN OFDM systems using minimum mean square error-frequency domain equalization (MMSE-FDE) achieve a lower peak-power and capacity than conventional Wi-Fi OFDM systems . Finally, the BER performance of Wi-Fi OFDM systems is affected by the use of differential phase-shift keying (DPSK), which results in a 3 dB loss in signal-to-noise ratio (SNR) .

Answers from top 5 papers

More filters
Papers (5)Insight
The paper does not provide specific information about the performance differences between OFDM applied to Wi-Fi and WPAN.
The proposed quasi-constant-amplitude OFDM scheme for wireless communication systems outperforms the conventional constant envelope OFDM in terms of bit error rate (BER) performance and out-of-band emission (OOBE) reduction.
The paper does not provide specific information about the performance differences between OFDM applied to Wi-Fi and WPAN.
The provided information does not mention anything about OFDM applied to Wi-Fi and WPAN, so it is not possible to answer the question based on the given text.
The paper does not provide a direct comparison between OFDM applied to Wi-Fi and WPAN in terms of performance.

Related Questions

How can ESPAR antennas be used to improve the performance of OFDM systems?4 answersESPAR antennas can improve the performance of OFDM systems by enabling multiple-input multiple-output (MIMO) transmission using a single radio frequency (RF) chain. This is achieved by mapping OFDM symbols into the beamspace domain and using the ESPAR antenna to transmit multiple streams of OFDM symbols. The patterns of the ESPAR antenna can be decomposed onto an orthogonal basis set using the Theory of Characteristic Modes (TCM). To reduce the complexity of channel estimation in ESPAR-OFDM systems, various techniques have been proposed, such as the parallel multi-column compressive sensing (CS) algorithm and exploiting the symmetrical properties of the Digital Fourier transform (DFT). Additionally, the use of dielectric overlay permittivity can influence the parameters of miniaturized ESPAR antennas, allowing for size reduction and improved network performance. A structured CS method has also been proposed to overcome the matrix multiplication problem in CS-based channel estimation for ESPAR-OFDM systems.
How can OFDM-VLC modulation be used to improve the performance of VLC systems?5 answersOFDM-VLC modulation can be used to improve the performance of VLC systems in several ways. Firstly, it can reduce the peak-to-average power ratio (PAPR) in VLC systems, which improves system performance and reduces the risk of power distortion. Secondly, OFDM-VLC can address impairments caused by multipath and user mobility, such as inter-symbol interference (ISI) and frequency-domain spreading, leading to better system performance. Additionally, OFDM-VLC can support high data rates and improve the color qualities of white illumination light, making it suitable for simultaneous lighting and communication in VLC systems. Finally, OFDM-VLC can enhance channel estimation in indoor VLC systems, leading to improved system performance and reduced error rates.
What is the difference between SD-WAN and traditional WAN?5 answersSD-WAN is a software-based networking technology that offers simplified network management and seamless connectivity in the cloud computing era. It operates in a centralized manner, allowing for the control of the entire network at once, surpassing the limitations of traditional WANs. Compared to traditional WAN, SD-WAN decouples the control plane from gateway devices and enables centralized WAN management with dynamic reconfiguration. Additionally, SD-WAN can integrate with the underlay network, providing collaboration between underlay and overlay, network slicing, and service function chaining. SD-WAN also allows for the virtual management of data traffic, eliminating the need for manual routing and improving network performance. In summary, the key differences between SD-WAN and traditional WAN lie in their network management approach, flexibility, and ability to integrate with other network technologies.
What are the different network performance parameters used in data communications?5 answersDifferent network performance parameters used in data communications include latency, throughput, packet drop probability, Quality of Service (QoS), control energy, and error energy. Latency refers to the time it takes for data to travel from the source to the destination. Throughput measures the amount of data that can be transmitted in a given time period. Packet drop probability indicates the likelihood of data packets being lost during transmission. QoS is a measure of the overall quality and reliability of the communication network. Control energy and error energy are used to evaluate the regulation performance of networked control systems. These parameters are important for assessing the efficiency, reliability, and overall performance of data communications networks.
What are the differences in the HER reaction rate between Pt/W18O49 and W18O49?5 answersThe HER reaction rate is higher for Pt/W18O49 compared to W18O49. Pt/W18O49 catalyst requires lower overpotentials to achieve high current densities in acidic water, outperforming the benchmark Pt/C catalyst. On the other hand, W18O49 nanowires exhibit lower HER activity under neutral conditions, with an overpotential of 83 mV at 10 mA cm−2.
What are the main factors that affect WiFi router performance?2 answersThe main factors that affect WiFi router performance include the increase in the deployment of WiFi access points, the type of applications generating traffic, the shape of the reflecting plate installed in the router, the density pressure and the power dissipation per IC package. The increase in WiFi access points poses challenges for WLAN design and implementation, especially when dealing with heterogeneous traffic generated by video streaming and audio applications. The shape of the reflecting plate installed in the router can reduce wasted radio wave and power, and increase radio wave radiation efficiency. The density pressure and lower power dissipation per IC package contribute to increasing component density in routers, allowing for higher density packaging without heat buildup.

See what other people are reading

Why EGC provides the lowest PNSMC(probability of non zero secrecy multicast capacity) value compared to SC and MRC?
5 answers
Why EGC provides the lowest PNSMC(probability of non zero secrecy multicast capacity) value compared to SC and MRC?
5 answers
PNSMC(probability on non zero secrecy multicast capacity) increases or decreases with increasing no of receiver in multicasting?
5 answers
How do manipulatives affect the development of place value understanding in grade 2 students?
4 answers
How do bivariate measures contribute to the advancement of research methodologies?
4 answers
What are the new techniques in cell free massive mimo energy efficiency?
5 answers
What are the new techniques in cell free massive mimo energy efficiency?
5 answers
What is the formula to calculate free space path loss?
5 answers
The formula to calculate free space path loss (FSPL) is crucial in wireless communication systems. FSPL is influenced by factors like frequency, distance, and obstacles. The FSPL equation derived from Friis transmission relations is commonly used but may lose accuracy at higher frequencies, especially in millimeter waves. Microwave radios, operating in various frequency bands from 1 GHz to 10 GHz, are essential for backhaul communications, offering high data rate bandwidth and adaptability in emergencies. Experimental measurements in controlled environments, like anechoic chambers, help establish correlations between power transmission, frequency, and path loss values, aiding in understanding the impact of these parameters on signal propagation. This comprehensive approach enables better modeling and approximation of FSPL, essential for designing efficient wireless networks.
What are the characteristics of LTE-A?
5 answers
LTE-A (Long Term Evolution Advanced) exhibits several key characteristics based on the provided research contexts. LTE-A systems feature enhanced resource allocation methods, such as full-duplex allocation with power control to prevent interference. Additionally, LTE-A terminals are equipped with testing systems that enable frequency and time synchronization, interaction of control messages, and data transmission between main and auxiliary cells, ensuring efficient testing capabilities. Moreover, LTE-A uplink processing methods involve precoding and signal generation techniques to reduce computational load and enhance processing efficiency. Furthermore, LTE-A relay systems leverage optical communication for improved return link efficiency, utilizing optical fibers to enhance signal quality and capacity, showcasing innovative MIMO and high-order regulation designs. These characteristics collectively highlight LTE-A's advancements in resource management, testing efficiency, processing optimization, and relay system innovation.
What are the current research directions and challenges in developing efficient and reliable non-iterative decoding algorithms for low?
5 answers
Current research in developing efficient and reliable non-iterative decoding algorithms for low-density parity-check (LDPC) codes focuses on reducing complexity while maintaining performance. Proposed algorithms include symbol flipping approaches based on channel reliability, iterative reliability-based majority-logic decoding enhancements, and low-complexity decoding algorithms for sparse code multiple access (SCMA) systems. Challenges lie in achieving a balance between computational complexity and error rate performance, especially in non-binary LDPC decoding where high complexity and memory requirements are common. The need to address complex channel environments in high spectral efficiency communication systems also poses a significant challenge. Research aims to optimize decoding methods to meet the increasing demand for higher data rates within limited bandwidth constraints.
What is the contribution of the dark triad to understanding personality?
4 answers
The Dark Triad, consisting of Machiavellianism, psychopathy, and narcissism, plays a significant role in understanding personality across various contexts. Research indicates that individuals with higher Dark Triad traits are less likely to engage in whistleblowing behavior, potentially impacting organizational culture. Moreover, CEOs exhibiting Dark Triad traits have been linked to increased litigation risks for internal stakeholders. Studies also highlight the relationship between Dark Triad traits and White-Collar Crime (WCC), emphasizing the predictive power of subclinical psychopathy and narcissism on attitudes towards unethical behavior. Additionally, the Dark Triad traits, particularly Machiavellianism and psychopathy, have been associated with ethical fading, influencing unethical behavior. Overall, the Dark Triad contributes significantly to understanding personality, criminal behavior, and ethical decision-making processes.