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with r m (t) denoting the data rate allocated to user m during time slot t.
See Additional file 1: Appendix S1, Additional file 2: Appendix S2, Additional file 3: Appendix S3, for R [9] code denoting the data preparation and analysis.
Collecting the transmitted symbols into vectors x q = [ x q ( 0 ) x q ( 1 ) … x q ( N t - 1 ) ] T ( q = 0, 1,..., N f - 1 ) with x q ( i ) denoting the data symbol transmitted from the i th antenna on the q th subcarrier, the reconstructed data vector after FFT at the receiver for the q th subcarrier is given by [12, 13] y q = E s H q x q + n q, k = 0, 1,..., N f - 1, (2).
where y q = [ y q ( 0 ) y q ( 1 ) … y q ( N r - 1 ) ] T ( q = 0, 1,..., N f - 1 ) with y q ( i ) denoting the data symbol received from the j th antenna on the q th subcarrier, n q is complex-valued additive white Gaussian noise satisfying E { n q n l H } = σ n 2 I N r δ [ q - l ].
We then have the two models: (4) Denoting the data by, the Bayes factor can be approximated using point estimates: (5) The three terms in the numerator arise from the OR condition of M0, Equation (4), and denote the probability that the error rates in forward, the reverse or both orientations are identical.
Similar(54)
where denotes the data.
t denotes the data transmission time.
Let denote the data decoded from.
Let E fd denote the data transfer energy consumption.
Let t denote the data generation time of biological engineering.
In Eq. (13), F denotes the data size and Ret denotes the retransmission times.
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