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GFDM (Generalized frequency division multiplexing) is based on traditional filter bank multi-branch multi-carrier concepts which are now implemented digitally. Our GFDM approach exhibits some attractive features which are of particular importance for scenarios exhibiting high degrees of spectrum fragmentation. Spectrum fragmentation is a typical technical challenge of digital dividend use cases, exploiting spectrum white spaces in the TV UHF bands which are located close to the allocated spectrum. Specifically, the GFDM features are a lower PAPR compared to OFDM, ultra-low out-of-band radiation due to adjustable Tx-filtering and last but not least a block-based transmission using cyclic prefix insertion and efficient FFT-based equalization. GFDM enables frequency and time domain multi-user scheduling comparable to OFDM and provides an efficient alternative for white space aggregation even in heavily fragmented spectrum regions.
Why: Problem statement
The existing method of the GFDM system consists of both transmitter and receiver. The transmitter consists of a pulse-shaping filter which leads to more intersymbol interference (ISI) and Inter-Carrier Interference (ICI). The receiver works on Discrete Gabor Transform (DGT) technique. Using DGT with Local analysis window is also know as Local-DGT (LDGT). LDGT technique leads to more implementation complexity.
How: Solution description
The Proposed method of GFDM system consists of both transmitter and receiver. We proposed two prototype filter i.e., Even-numbered subcarrier filter and Odd-numbered subcarrier filter. These two proposed filters can reduce ISI and ICI. So we are using these filters to reduce interference. Receiver works on LDGT. LDGT technique leads to more implementation complexity. Using the MIMO concept we can reduce the implementation complexity.
This project addresses the performance of a full-duplex (FD) generalized GFDM transceiver in the presence of radiofrequency (RF) impairments including phase noise, carrier frequency offset (CFO) and in-phase (I) and quadrature (Q) imbalance. We study analog and digital self-interference (SI) cancellation and develop a complementary SI suppression method. Closed-form solutions for the residual SI power and the desired signal power and signal-to-interference ratio (SIR) are provided. Simulation results show that the RF impairments degrade SI cancellation and FD GFDM is more sensitive to them compared to FD orthogonal frequency division multiplexing (OFDM). Hence, we propose an FD GFDM receiver filter for maximizing the SIR. Significantly, it achieves 25 dB higher SIR than the FD OFDM transceiver.
How is it different from competition
In the proposed method, we are using two prototype filter i.e., even-numbered filter and odd-numbered filter, instead of pulse shaping filter. In the proposed method, we are using the MIMO concept to reduce complexity.
Who are your customers
Our project is based on Wireless communication domain. If it is implemented, it will be used in 5G technology. It can also be implemented in all type of wireless technology. It will lead to smart homes, smart cities, and smart world.
Project Phases and Schedule
1. We have to design a two prototype filter (i.e.) Even-numbered filter and Odd-numbered filter. The even-numbered filter allows even sub-symbols and Odd-numbered filter allows odd sub-symbols.
2. Implementation of the proposed design to the existing model at the transmitter.
3. Write MATLAB coding for it.
4. Run the code without errors and get output with less BER.
For our project, MATLAB software is required. Coding was done and simulation output was obtained.