A competitive market equilibrium is a power distribution such that (i) (user optimality) is a maximizer of (1) given, and for every ; (ii) (market efficiency),, for all.
Here, a competitive market equilibrium is a density point such that (i) (user optimality) is a maximizer of (1) given, and for every ; (ii) (market efficiency),, for all ; (iii) (budgeting according to individual utilities) Given, is a minimizer of (12) This condition says that if user 's utility is higher than any others', that is,, then one should shift "money budget" from user to user.
Further assumptions made in [31] are that N i users are served in parallel, and that the quantization error- and precoding vectors are isotropically distributed.
More importantly, the BORG method combines the features of both OMA and SIC such that (i) the users within each group are orthogonal one to each other; (ii) the groups share the entire channel.
The company has found that i-mode users are more lucrative than other subscribers.
Assume that the first i users from K are with RT service, denoted by ℐ = { 1, …, i } ; and the other K-i users are with NRT service, denoted by J = { i + 1, …, K }.
While it suffers from a smaller screen than the Hershey Bar-shaped handsets pioneered by AAPL, the small size and slide-out keyboard were benefits that I think many users would value more than the larger screen.
In (9), α ij and α kji are binary decision variables, the value of α ij equals 1 which means that user i transmits to user j, and there is no communication link between user i and user j if α ij equals 0. Also α kji determines whether user k relays the data of user j to user i or not; δ ij equals 1 if i = j and 0 on the contrary.
When I tell people that I, a wheelchair user, chose to study in Durham, many think that I'm completely mad.
To remove this bias, we normalize (n_{ij}) with the expected number of items that user i and j would have in common in a random case.
