Waveform Design for 5G and Beyond

5G is envisioned to improve major key performance indicators (KPIs), such as peak data rate, spectral efficiency, power consumption, complexity, connection density, latency, and mobility. This chapter aims to provide a complete picture of the ongoing 5G waveform discussions and overviews the major candidates. It provides a brief description of the waveform and reveals the 5G use cases and waveform design requirements. The chapter presents the main features of cyclic prefix-orthogonal frequency-division multiplexing (CP-OFDM) that is deployed in 4G LTE systems. CP-OFDM is the baseline of the 5G waveform discussions since the performance of a new waveform is usually compared with it. The chapter examines the essential characteristics of the major waveform candidates along with the related advantages and disadvantages. It summarizes and compares the key features of different waveforms.Comment: 22 pages, 21 figures, 2 tables; accepted version (The URL for the final version: https://onlinelibrary.wiley.com/doi/abs/10.1002/9781119333142.ch2

Enabling slotted Aloha-NOMA for massive machine-to-machine (M2M) communication in internet of thing (IoT) networks

Slotted Aloha-NOMA (SAN) protocol is an uncoordinated, non-orthogonal, random access protocol that exploits the simplicity of SA (Slotted Aloha) and the superior throughput of non-orthogonal multiple access (NOMA) and its ability to resolve collisions via use of successive interference cancellation (SIC) receiver. In SAN protocol, the SIC receiver at the IoT gateway adaptively learns the number of active devices (which is not known a priori) using multiple hypothesis testing in order to successfully distinguish between signals transmitted from different IoT devices

Enabling slotted Aloha-NOMA for massive machine-to-machine (M2M) communication in internet of thing (IoT) networks

Slotted Aloha-NOMA (SAN) protocol is an uncoordinated, non-orthogonal, random access protocol that exploits the simplicity of SA (Slotted Aloha) and the superior throughput of non-orthogonal multiple access (NOMA) and its ability to resolve collisions via use of successive interference cancellation (SIC) receiver. In SAN protocol, the SIC receiver at the IoT gateway adaptively learns the number of active devices (which is not known a priori) using multiple hypothesis testing in order to successfully distinguish between signals transmitted from different IoT devices