2014
DOI: 10.1109/twc.2014.2352259
|View full text |Cite
|
Sign up to set email alerts
|

Downlink Spectral Efficiency of Distributed Antenna Systems Under a Stochastic Model

Abstract: Abstract-This paper studies the downlink spectral efficiency of distributed antenna system (DAS) where antenna ports are distributed as a Poisson point process (PPP), while assuming channel state information is not available at the transmitter and each antenna has an individual power constraint. We first consider the case with a single user per cell and analyze regular DAS with fixed cell boundaries, and study both blanket transmission where the user is served by all the antenna ports within each cell, and sel… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1
1

Citation Types

0
35
0

Year Published

2017
2017
2021
2021

Publication Types

Select...
5
2
1

Relationship

2
6

Authors

Journals

citations
Cited by 61 publications
(35 citation statements)
references
References 27 publications
0
35
0
Order By: Relevance
“…and substituting in the Laplace transforms of the density functions of the interference and signal powers. The proof uses the same approach as in [21], [24], [27]. Remark 1: Theorem 1 and Theorem 2 completely characterize the CCDF of the user rates and the per-BS ergodic sum rate of an LS-MIMO system with user-centric clustering as a function of important system parameters, such as BS deployment density (λ), number of users scheduled by each BS (K), diversity order per user (ζ), and cluster radius (R c ).…”
Section: Stochastic Geometry Analysis Of Ls-mimomentioning
confidence: 99%
“…and substituting in the Laplace transforms of the density functions of the interference and signal powers. The proof uses the same approach as in [21], [24], [27]. Remark 1: Theorem 1 and Theorem 2 completely characterize the CCDF of the user rates and the per-BS ergodic sum rate of an LS-MIMO system with user-centric clustering as a function of important system parameters, such as BS deployment density (λ), number of users scheduled by each BS (K), diversity order per user (ζ), and cluster radius (R c ).…”
Section: Stochastic Geometry Analysis Of Ls-mimomentioning
confidence: 99%
“…We assume that all APs transmit with the same power P t . Then, the SINR at the typical UE can be expressed as [20]…”
Section: ) Directional Beamformingmentioning
confidence: 99%
“…This is because that each individual antenna has its own RF power amplifier, which has individual power limit. 18,19 Another appealing scenario for the PAC is in the distributed MIMO systems, where the transmitted antennas are at different physical locations attempting to cooperate in the design of their transmit signals. In these cases, each node has its own power constraint instead of sharing a total power budget among different nodes.…”
Section: Introductionmentioning
confidence: 99%
“…The imaginary part of (17) leads to another equation, which is not linearly independent with (18) and (19). The nonlinear Equations (18) and (19) can be solved using numerical methods to find the optimal values of 2 and 3 .…”
mentioning
confidence: 99%