###### Abstract
More efficient implementation of eMBB/URLLC DM has been considered in various studies [4; 5; 6; 7]. For example, Ref. [4] proposed recovery mechanisms for punctured eMBB traffic as well as a service-specific scheduling policy and link adaptation for the efficient implementation of eMBB/URLLC DM. Meanwhile, Ref. [5] presented three eMBB traffic loss models by puncturing or superposing URLLC traffic while providing an individual optimal URLLC scheduler for each loss model. The optimal schedulers simultaneously maximize the utility of the eMBB traffic subject to the URLLC demand requirement. In [6], the latency of URLLC traffic was reduced from 1.3 to 1 ms, without incurring an eMBB performance loss of more than 10%, by the joint link adaptation of eMBB and URLLC traffic, which adjusts the block error probability of the URLLC payload. In [7], preemption-aware rank offloading scheduling was proposed to increase the overall ergodic capacity while reducing the latency of URLLC traffic with enhanced scheduling flexibility. A common objective of eMBB/URLLC DM in previous studies [2; 3; 4; 5; 6; 7] is to minimize eMBB performance loss while satisfying the latency and reliability requirements of URLLC traffic. However, this is not essential for either the throughput maximization of eMBB or the delay guarantee of URLLC. Depending on the conditions, the same goal can be achieved by using eMBB/URLLC orthogonal slicing (OS), which divides the resources exclusively for each type of traffic according to their traffic load. There are some obvious cases in which the OS is more appropriate than eMBB/URLLC DM. For example, when a URLLC AV has a fixed and predictable traffic load in a given period, then an exact amount of resource is orthogonally sliced for the specific URLLC AV without incurring a penalty for URLLC traffic. Meanwhile, eMBB traffic errors due to the puncturing of URLLC traffic must be detected and corrected through channel coding/decoding. Because channel coding can only fix a limited number of erased bits, DM incurs a significant throughput loss for eMBB as long as the multiplexed URLLC traffic exceeds a certain limit. As previously discussed, there are two multiplexing methods to achieve the coexistence of eMBB and URLLC, namely DM and OS; the preference for a method depends on the situation. We first reveal the underlying performance characteristics of these options, which must be identified to allow for dynamic switching between them. As discussed in Section 3, switching between DM and OS involves with BWP allocation to determine which BWP is used for URLLC AVs. Furthermore, the physical layer parameters are comprehensively explored to observe the performance tradeoff between DM and OS. Toimplement dynamic switching of DM and OS, the base station must know in advance which multiplexing methods outperforms the other. In this paper, we propose a dynamic BWP allocation scheme that switches between two multiplexing methods, dynamic multiplexing (DM) and orthogonal slicing (OS), so as to minimize the impact of URLLC traffic on eMBB traffic. To this end, we present a closed form expression of the URLLC load as an optimal tradeoff threshold at which their performance is reversed. Using this threshold, DM and OS can be switched to minimize an impact of URLLC traffic on eMBB traffic. While BWP is a key physical layer feature of to support flexibility and power saving in higher spectrum [8], there has been no embodiment of dynamic BWP allocation schemes that achieves near-optimal performance tradeoff by exploiting an explicit threshold that varies with the physical parameters. Our key contribution in this paper is to identify its performance tradeoff with analytical model of the capacity region, which allows for deriving an approximate closed-form expression of switching threshold for URLLC traffic load. The remainder of this paper is organized as follows. Section 2 reviews 3 GPP specifications for the efficient coexistence of eMBB and URLLC.