Sentence examples for bits for each user from inspiring English sources

We assume that the total number of feedback bits for each user is conveyed via N s slots in uplink.

For the proposed parallel QPSK-FSOK MC-CDMA system, one symbol contains (log2N + 2 P bits for each user.

Then, the total bits for each user to quantize all the per‐cell CDI vectors are BCDI=N c ×bCDI bits.

It is worthy to note that when the value of N s changes, the total number of feedback bits for each user changes.

These motivate to maximize the EE for limited-feedback CoMP-CB under the constraints on the number of feedback bits for each user in addition to the QoS.

In practice, we can judiciously select the number of feedback slots N s, i.e., the total number of feedback bits for each user, to trade-off the downlink and uplink energy consumptions.

Assuming the probability of data bit for each user is 1/2, the average SNR is mathrm{S}mathrm{N}mathrm{R}=frac{I^2}{leftlangle {i}^2rightrangle }=frac{{left(Re w{P}_{sr}/Lright)}^2}{2 eBmathit{Re w}{P}_{sr}/L+4{K}_b{T}_nB/{R}_L} (17).

An optimal solution and a low complexity suboptimal algorithm were respectively proposed to allocate the transmit powers among multiple users and allocate the total number of bits of each user for quantizing the desired and interference channel directions.

In general, one can conclude that fixing constellations of users (i.e., assigning labels to the constellation so that we distinguish between the bits intended for each user) is not optimal for coding and may result in important loss in terms of rates for systems using finite-size constellations especially for low-order constellations.

We first optimize the power allocation with given bit allocation for each user.

When the bit allocation for each user is obtained, the power allocation for multiple users can be optimized by using Yates' framework [22], which is a fixed-point iteration problem.