5G communication networks introduce a massive heterogeneous environment where network traffic mainly contains video data. Today, in situations where users are closely located to each other and request the same information (e.g. streaming services in stadiums, connecting information in trains, slides dissemination in conferences, etc), the base station (BS) establishes one unicast connection per user, which is inefficient since the BS sends repeated data to co-located users. Network-Coded Cooperative (NCC) networks increase the network performance in the aforementioned scenarios by leveraging the use of Random Linear Network Coding (RLNC) and Mobile Clouds (MC). Non of the previous works evaluated the latency overhead of NCC systems, to hte best of our knowledge. Our contribution in this paper is twofold: First, we present a new method to measure the latency where clocks inside the machines do not need to be synchronized. Second, we use that method and the traditional timestamps to measure the latency in a NCC testbed. The results show an average latency of 200 milliseconds (ms) for three clients and 400 ms for four clients. Moreover, we observed a correlation between clients inside the MC in terms of packet loss. A loss would stall the packet decoding until it is recovered, pictured by latency peaks.