iversity. Another variant of UE-based interference mitigation is to apply non-linear interference cancellation, where the UE estimates and reconstructs the Small Cell Interference Management interfering signal(s) followed by subtraction before decoding the desired signal. Such tech- niques are especially attractive for cancelling interference from semi-static signals such a common reference signal (CRS), broadcast channel and synchronization channels, as sup- ported to a large extent in Release 11 further enhanced ICIC (feICIC). Applying non-linear interference cancellation to data channel transmissions is much more challenging, as the scheduling and link adaptation are highly dynamic, and conducted independently per cell. Hence, getting the most out of non-linear interference cancellation often includes additional network assistance. One such example is network assistance interference cancellation and suppression (NAICS) as included in Release 12 in the form of symbol-level interference can- cellation (SLIC). In short, the SLIC implies that UE estimates its dominant interfering cell for each symbol and reconstructs the interfering signal(s) followed by subtraction before decoding the desired signal. The network supplies assistance information such as number of antenna ports and other characteristics of the interfering cells, SO the UE can avoid blind estimation of such metrics. The network-based interference coordination options and the UE-based interference mitiga- tion techniques are naturally not mutually exclusive, but can be exploited jointly. One example of joint network- and UE-based interference mitigation is eICIC as is explained in greater details in Section 7.3. For further information, see also [1]. Although the interference mitigation options in Table 7.1 are outlined for the downlink, similar techniques are to a large extent also applicable for the uplink. However, for the uplink, the user-specific transmit power control mechanism is the most dominant tool for managing co-channel inter-cell interfe