Ai Feedback
Exact(9)
In practice, however, the scanning mechanism usually selects a slot of data consisting of multiple bits of each user's data; the scanner switch is then advanced to the next user to select another slot, and so on.
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.
This is because when the uplink energy consumption is low, the total number of bits of each user is small such that the MUI and ICI in the system severely degrades the EE performance.
Motivated by this, we jointly optimize the allocation of transmit powers among multiple users and the feedback bits of each user between quantizing the desired and interfering channels under the constraints on individual feedback overhead and outage probability.
This approximation is accurate when the following two conditions are met simultaneously: (1) the total number of feedback bits of each user is sufficient large, i.e., BCDI→∞, and (2) the value of N c ×n t is sufficiently large.
In this section, we study the bit and power allocation problem to maximize the downlink EE of the CoMP-CB system, where the total number of feedback bits of each user is given.
Similar(51)
Assuming an infinite number of bits for each user's queue, we consider both best-effort and real-time services and let each user have a corresponding utility function described in Section VI-A.
It is worthy to note that when the value of N s changes, the total number of feedback bits for each user changes.
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.
As shown in Figure 2, the low complexity algorithm performs close to the iterative optimization algorithm as the number of feedback bits for each user increases, which indicates that using the upper bound of outage probability in (14) leads to minor performance loss.
We assume that the total number of feedback bits for each user is conveyed via N s slots in uplink.
Related(20)
bits of each integer
bits of each source
bits of each candidate
bits of each video
bits of each component
bits of each frame
bits of each sensor
bits of each groove
bits of each pixel
bits of each sample
bits of each picture
bits of each edge
bits of each model
bits of each format
bits of each word
bits of each strategy
bits of each codeword
bits of each signal
bits of each electrode
bits of each macroblock
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