2014 IEEE Global Communications Conference 2014
DOI: 10.1109/glocom.2014.7037070
|View full text |Cite
|
Sign up to set email alerts
|

Base station density optimization for high energy efficiency in two-tier cellular networks

Abstract: The base station (BS) density configuration is a key factor to improve energy efficiency (EE) performances. In this paper, BS density configurations for achieving the optimal EE performance in two-tier cellular networks are analyzed, where the Poisson point process (PPP) is used to model the BS spatial distribution. To make the EE performances trackable and analyzable, the BS density optimization in each tier is transformed into an equivalent problem that jointly optimizes "the sum and the ratio of BS densitie… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2022
2022
2022
2022

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 9 publications
0
1
0
Order By: Relevance
“…On the other hand, energy efficiency is widely researched in wireless communication systems to save energy resources and strengthen the corresponding performance at the same time, especially for the limited energy device based systems. 8,9 For example, the problem of saving energy while satisfying given throughput and delay requirement was formulated in 8 to obtain the optimal modulation and transmission strategy. Since the amount of energy used by the jammer at each attack time can affect the signal-to-noise-ratio (SNR) and the corresponding dropout rate, and thus has the influence on the system performance, it is reasonable to heighten the energy efficiency for the jammer with the limited energy to deteriorate the system performance maximally.…”
Section: Introductionmentioning
confidence: 99%
“…On the other hand, energy efficiency is widely researched in wireless communication systems to save energy resources and strengthen the corresponding performance at the same time, especially for the limited energy device based systems. 8,9 For example, the problem of saving energy while satisfying given throughput and delay requirement was formulated in 8 to obtain the optimal modulation and transmission strategy. Since the amount of energy used by the jammer at each attack time can affect the signal-to-noise-ratio (SNR) and the corresponding dropout rate, and thus has the influence on the system performance, it is reasonable to heighten the energy efficiency for the jammer with the limited energy to deteriorate the system performance maximally.…”
Section: Introductionmentioning
confidence: 99%