Channel assignment mechanisms are usually evaluated via simulations due to the multiple considerations and complex scenarios required to evaluate them [7 10, 13, 22 25].
The key advantage of this approach is that it can be used to investigate multiple complex 'real-life' scenarios not covered by conventional analytical approaches.
Time-selectivity is particularly harmful when considering complex scenarios with multiple antennas and/or multiple users.
Although the focus is on single animations, rather than more complex scenarios with multiple animated objects involved.
Some researchers remain unconvinced of endothermy even in non-ornithurine birds (e.g. [10], [16]) or tentatively favor more complex scenarios involving multiple origins of endothermy [12].
Nevertheless, more complex scenarios with multiple phase charts could explain CA1 population activity during theta oscillations and 'preplay', which suggests a limited remapping capacity for CA1 (Dragoi and Tonegawa, 2011, 2013).
The fact that some of the main obstacles to teaching is the lack of time and intense clinical work underscore the idea that educational interventions need to be tailored to complex scenarios with multiple time demands, and integrated into the clinical work flow for appropriate context.
These single contributions may be composed together to obtain the value of k xpol in more complex scenarios, made of multiple items.
Therefore, one direction for future work is to consider more complex scenarios, e.g., roundabouts with multiple exits or multi-layered highway junctions.
This exact equation will not hold in more complex scenarios such as non-uniform inactivation or multiple QTLs.
