Of the multi-carrier techniques under development is the Generalized Frequency Division Multiplexing (GFDM) which shows great potential and practicality, representing a departure from conventional modem schemes in a fairly unique and innovative manner. An integral aspect of GFDM is the matrix of subcarriers and sub-symbols that use spectral filtering, accomplished using an efficient pulse-shaping technique. Such a technique allows GFDM to retain signal characteristics in the frequency and time domains, thus ensuring effective suppression and spectral efficiency. Furthermore, this approach leads to a substantial decrease in Out-Of-Band (OOB) emissions. A major benefit that GFDM brings about is that it can provide a lower peak ratio (PAPR), which is compared with traditional OFDM. In addition to these developments, GFDM encounters one great challenge: the high complexity of the system and trouble in Bit Error Rate (BER) maintenance, which is a critical factor for ensuring correct communication. The current project is devoted to considering the practicability and efficacy of GFDM for the forthcoming mobile systems in particular. This page focuses on the performance enhancements achievable via combining Polar Codes (PC) as a coding technique within the GFDM architecture. We reasoned out the cases with Additive White Gaussian Noise (AWGN) and Rician fading channels. The next point is the efficiency of Zero Forcing (ZF) as a channel estimation method and how it is compared to conventional Orthogonal Frequency Division Multiplexing (OFDM) systems. Using this investigative discussion, we plan to draw a line connecting the enhanced GFDM algorithms with the adoption of the latest coding and estimation techniques, which will be the inevitable step to the next-generation wireless communication systems of the future. Adding PC & ZF to GFDM involves a process of using polar codes to improve BER by 0.1 at 16 dB. The new improvements are derived from different successful methods that pave the way for GFDM to be part of future generations.

Topics
Pulse generators, Data processing, Signal processing, Wireless communications, Telecommunications engineering, Spectral methods
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