Various sectors are likely to carry a set of emerging applications while targeting a reliable communication with low latency transmission. To address this issue, upon a spectrally-efficient transmission, this paper investigates the performance of a 1 full-dulpex relay system and considers for that purpose, 2 basic relaying schemes, namely, the symbol-by-symbol transmission, i.e., amplifyand-forward and the block-by-block transmission, i.e., selective decode-andforward. The conducted analysis presents an exhaustive comparison, covering both schemes, over 2 different transmission modes, i.e., the noncombining mode where the best link, direct, or relay link is decoded and the signals combining mode, where direct and relay links are combined at the receiver side. While targeting latency purpose as a necessity, simulations show a refined results of performed comparisons and reveal that amplify-and-forward relaying scheme is more adapted to combining mode, whereas the selective decode-and-forward relaying scheme is more suitable for noncombining mode.KEYWORDS amplify-and-forward, full-duplex, low latency applications, outage probability, selective decode-andforward 1 | INTRODUCTION An immense amount of data is created every day from different sensors and peripherals, namely, GPS embedded in vehicles, attached to objects or worn by people, sensors monitoring the environment, real time video streams, radars on roads, social network feeds, etc. Such type of data belongs to real time's domain, where schedulability is one of the main characteristics of this domain, which means its propensity to respect the expected time constraints. In fact, a real time system implies a system ability to ensure that investigated processing produces consistent results, i.e., functionally correct, at the right time. Therefore, to ensure the radio communication for such applications, a low latency as well as extreme reliability are required. In this context, the use of cooperation concept provides spatial and temporal diversity and constitutes a good alternative to support advanced communications with increased channel capacity. 1,2 However, in regards to the end-to-end latency, this requirement has a significant impact on the system quality and the fluidity of communications, and it is influenced by different features upon the transmission, we mention in particular, the propagation delay as well as the relay delay processing. In fact, depending on the environment and on the application, we can get rid of some supplementary sources of delay, as example, for industrial environments such factories, the distance between 2 automated robots is not considerable. Hence, the delay propagation can be neglected, and the only generated delay in this case is that related to the relay processing, which depends mainly on the used relaying technique.