Implementing Enhanced MIMO with F-OFDM to Increase System Efficiency for Future 5G Cellular Networks

The upcoming fifth generation of cellular communication system is most likely to be deployed by the year 2020. The new generation of mobile network is expected to have high data rates, low latency and support a huge number of devices. Aside from this, machine type communication (MTC) and internet of things (IoT) are expected to be handled by 5G system in a better and efficient way. For this reason, a number of waveform candidates have been proposed. Filtered orthogonal frequency division multiplexing (F-OFDM) is one of the proposed candidates for 5G systems, which highly resembles to its predecessor that is orthogonal frequency division multiplexing (OFDM). The crucial difference between the two multicarrier waveforms is the use of a well-designed filter. F-OFDM in comparison with OFDM thus provides reduced out of band emission, which enables it to utilize the allocated spectrum efficiently. This research paper provides a brief review of F-OFDM performance with multiple input multiple output (MIMO) implementation. Using MATLAB, the MIMO system with F-OFDM has been tested for different configurations such as SIMO (receive diversity) and MISO (transmit diversity) with different digital modulation schemes including QPSK, 16-QAM, 64-QAM and 256-QAM. The bit error rate (BER) vs the signal to noise ratio (SNR) plots judge the performance of the system

Joint secure communication and sensing in 6G networks

Joint communication and sensing is expected to be one of the features introduced by the sixth-generation (6G) wireless systems. This will enable a huge variety of new applications, hence, it is important to find suitable approaches to secure the exchanged information. Conventional security mechanisms may not be able to meet the stringent delay, power, and complexity requirements which opens the challenge of finding new lightweight security solutions. A promising approach coming from the physical layer is the secret key generation (SKG) from channel fading. While SKG has been investigated for several decades, practical implementations of its full protocol are still scarce. The aim of this chapter is to evaluate the SKG rates in real-life setups under a set of different scenarios. We consider a typical radar waveform and present a full implementation of the SKG protocol. Each step is evaluated to demonstrate that generating keys from the physical layer can be a viable solution for future networks. However, we show that there is not a single solution that can be generalized for all cases, instead, parameters should be chosen according to the context

Waveform Design Considerations for 5G Wireless Networks

In this chapter, we first introduce new requirements of 5G wireless network and its differences from past generations. The question “Why do we need new waveforms?” is answered in these respects. In the following sections, time‐frequency (TF) lattice structure, pulse shaping, and multicarrier schemes are discussed in detail. TF lattice structures give information about TF localization of the pulse shape of employed filters. The structures are examined for multicarrier, single‐carrier, time‐division, and frequency‐division multiplexing schemes, comparatively. Dispersion on time and frequency response of these filters may cause interference among symbols and carriers. Thus, effects of different pulse shapes, their corresponding transceiver structures, and trade‐offs are given. Finally, performance evaluations of the selected waveform structures for 5G wireless communication systems are discussed

Filtered Multicarrier Transmission

Orthogonal frequency‐division multiplexing (OFDM) has been adopted as the waveform of choice in the existing and emerging broadband wireless communication systems for a number of advantages it can offer. Nevertheless, investigations of more advanced multicarrier transmission schemes have continued with the aim of eliminating or mitigating its essential limitations. This article discusses multicarrier schemes with enhanced spectrum localization, which manage to reduce the spectral sidelobes of plain OFDM that are problematic in various advanced communication scenarios. These include schemes for enhancing the OFDM waveform characteristics through additional signal processing as well as filter‐bank multicarrier (FBMC) waveforms utilizing frequency‐selective filter banks instead of plain (inverse) discrete Fourier transform processing for waveform generation and demodulation.acceptedVersionPeer reviewe