Exact(4)
At the moment, our average user orders every 10 days.
We use an exhaustive search for scheduling that considers all possible subsets of users and all possible user orders for those subsets.
Suppose that action "Buy P1" is enabled at the current state, and the next expected traffic is "GET checkout.php" which is the signature of clicking on the submit button when the user orders a product.
The maximum achievable sum rate RSZF of SZF precoding is then obtained by maximizing (11) over all K0! possible user orders: R SZF = max π i, i = 1, 2, …, K 0 !
Similar(56)
It does not rely on user grouping and user ordering for user scheduling.
A joint design of user ordering and user grouping for all groups is necessary in order to maximize the WSR.
We have used an exhaustive search to find the best user order in both cases.
"SC SIC per group" divides users into multiple groups but that approach leads to a joint design of user ordering and user grouping.
Moreover, the user ordering issue in SC SIC per group does not exist in 2-layer HRS.
For a given user ordering, DPC is serially applied over the users allowing to presubstract the interference caused by users with lower indices [2].
We keep the same user ordering as detailed in NUS proof such that weaker user's signal gets decoded with lesser interference.
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