toplogo
Kirjaudu sisään

Fundamentals of Delay-Doppler Communications: Practical Implementation and Extensions to OTFS


Keskeiset käsitteet
OTFS modulation offers performance benefits over conventional OFDM for DD communications.
Tiivistelmä

The paper explores the fundamentals of Delay-Doppler (DD) communications, focusing on the practical implementation and extensions to Orthogonal Time Frequency Space (OTFS) modulation. It starts by presenting general DD communications from the Zak transform perspective, highlighting unique signal structures beneficial for communication. Practical implementations of DD Nyquist communications are discussed, emphasizing orthogonality achieved through different windowing techniques. The paper also delves into pulse shaping frameworks and numerical results showcasing advantages over OFDM. The importance of the Zak transform in OTFS is emphasized, with recent developments like OTFS 2.0 highlighted for their simplified input-output relations purely in the DD domain.

Structure:

  • Introduction to Next-Gen Wireless Networks
  • Advantages of OTFS Modulation
  • Historical Recap of OTFS Literature
  • Importance of Zak Transform in OTFS Realization
  • Fundamentals of Delay-Doppler Domain Signaling
  • Constructing Delay-Doppler Domain Basis Functions
  • Properties of DD Domain Basis Function and Its Truncation
edit_icon

Mukauta tiivistelmää

edit_icon

Kirjoita tekoälyn avulla

edit_icon

Luo viitteet

translate_icon

Käännä lähde

visual_icon

Luo miellekartta

visit_icon

Siirry lähteeseen

Tilastot
"Orthogonal time frequency space (OTFS) modulation has attracted significant attention due to its appealing performance over doubly-selective channels." "Rectangular windows achieve perfect DD orthogonality in practical implementations." "Smoothed rectangular windows with excess bandwidth result in slightly worse orthogonality but better pulse localization in the DD domain." "Numerical results demonstrate advantages of DD communications over conventional orthogonal frequency division multiplexing (OFDM)."
Lainaukset

Tärkeimmät oivallukset

by Shuangyang L... klo arxiv.org 03-22-2024

https://arxiv.org/pdf/2403.14192.pdf
Fundamentals of Delay-Doppler Communications

Syvällisempiä Kysymyksiä

How can the quasi-periodicity and twisted-shift properties be practically implemented for optimal performance?

The quasi-periodicity and twisted-shift properties of Delay-Doppler (DD) domain basis functions can be practically implemented by designing pulse shaping filters that align with these characteristics. One approach is to use time-frequency consistent filtering or windowing, where the filter response is adapted based on the delay and Doppler offsets of each basis function. By applying this TF-consistent filtering, the DD domain basis functions can maintain their global quasi-periodic nature while being locally twisted-shifted. This ensures that the signal structure in both time and frequency domains remains consistent with the theoretical properties.

What challenges might arise when transitioning from theoretical idealized basis functions to practical implementations?

Several challenges may arise when transitioning from theoretical idealized basis functions to practical implementations in communication systems: Complexity: Implementing complex mathematical concepts such as quasi-periodicity and twisted-shifts in real-world systems may require sophisticated algorithms and hardware. Resource Constraints: Practical limitations such as finite bandwidth, processing power, and memory may restrict the implementation of idealized basis functions. Interference: Real-world channels introduce noise, interference, and distortions that can affect the performance of theoretically perfect signals. Synchronization: Ensuring proper synchronization between transmitter and receiver becomes crucial for maintaining consistency in signal structures.

How can the insights gained from studying DD domain basis functions be applied to other communication systems?

The insights gained from studying Delay-Doppler (DD) domain basis functions have broader applications beyond just DD communications: Signal Processing: The understanding of global quasi-periodicity and local twisted-shifting can be applied to various signal processing tasks like channel estimation, equalization, beamforming, etc. Wireless Systems Design: Concepts like TF-consistency condition can guide waveform design in wireless communication systems for improved spectral efficiency. Cognitive Radio Networks: Applying similar principles to cognitive radio networks could enhance spectrum sensing capabilities by exploiting unique signal structures. Radar Systems: Insights into DD domain pulses could benefit radar systems by improving target detection accuracy through optimized pulse shaping techniques.
0
star