Titlebook: Scalable Signal Processing in Cloud Radio Access Networks; Ying-Jun Angela Zhang,Congmin Fan,Xiaojun Yuan Book 2019 The Author(s), under e

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Constituent

Book 2019Last but not least, this brief introduces two scalable cooperative signal detection algorithms in C-RANs. ?The authors wish to spur new research activities in the following important question: how to leverage the revolutionary architecture of C-RAN to attain unprecedented system capacity at an affor

lesion

Introduction,ce requirements. For instance, massive machine type communications require high connection density, videos require very high throughput per connection, auto pilot cars require low latency and ultra high reliability, augmented reality requires both high throughput and low latency, and so on.

Exaggerate

System Model and Channel Sparsification,s and RRHs. We derive a closed-form expression describing the relationship between the threshold and the SINR loss due to channel spasification. The analysis serves as a convenient guideline to set the threshold subject to a tolerable SINR loss.

CBC471

Scalable Signal Detection: Randomized Gaussian Message Passing,s. In addition, we generalize the RGMP algorithm to a blockwise RGMP (B-RGMP) algorithm, which allows parallel implementation. The average computation time of B-RGMP remains constant when the network size increases.

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FRONT

藕床生厭倦

Introduction,ent mobile networks. Based on the recent statistics from Cisco, the global mobile data traffic has grown 18-fold over the past 5 years and is expected to increase sevenfold by 2021. Moreover, the number of mobile-connected devices, including smartphones, wearable devices, machine-to-machine modules,

精密

小淡水魚

Scalable Channel Estimation,hown to be optimal or nearly optimal in conventional MIMO systems, where the transmit antennas are co-located, and so are the receive antennas. However, orthogonal training design is very inefficient when applied to C-RAN, for that a C-RAN system usually covers a large number of users and RRHs. Allo