Selective Control Information Detection in 5G Frame Transmissions

Abstract

Control signalling information within wireless communication systems facilitates efficient management of limited wireless resources, plays a key role in improving system performance and meets performance requirements of 5G systems. This chapter focuses on one particular form of control information, namely, selective control information (SCI). The SCI is a type of control information currently used in physical control channels of 4G wireless systems and will be extensively implemented in 5G wireless systems to encode essential system information such as signal format, frame structure, modulation scheme and coding rate. Maximumlikelihood (ML) is one of the conventional SCI detection techniques. Unfortunately, it requires channel estimation, which introduces some implementation constraints and practical challenges. This chapter uses generalized frequency division multiplexing (GFDM) to evaluate and demonstrate the detection performance of a new form of SCI detection that uses a time-domain correlation (TDC) technique. Unlike the ML scheme, the TDC technique is a form of blind detection that has the capability to improve detection performance with no need for channel estimation. In comparison with the ML based receiver, results show that the TDC technique achieves improved detection performance. In addition, the detection performance of the TDC technique is improved with GFDM receivers that use the minimum mean square error (MMSE) scheme compared with the zero-forcing (ZF) technique. It is also shown that the use of a raised cosine (RC) shaped GFDM transmit filter improves detection performance in comparison with filters that employ root raised cosine (RRC) pulse shape.