Abstract
We consider a clustered wireless network composed of energy-harvesting access points (APs) to improve both spectrum efficiency and energy efficiency. Each AP only uses the harvested energy for transmission and becomes inactive when the harvested energy is less than the required energy for transmission. The number of inactive APs increases as the number of users being served by an AP increases. Considering the relationship between the number of served users and the active AP density, we propose a spectrum-efficient operating policy designed to ensure that an AP serves the closest n users rather than all users in the cluster. We derive the outage probability and the area spectral efficiency (ASE) for an energy-harvesting clustered wireless network in closed form using stochastic geometry. Numerical results show that there is an optimal number of served users per AP that maximizes the ASE, which verifies that the ASE can be increased by the proposed spectrum-efficient operating policy.
| Original language | English |
|---|---|
| Title of host publication | 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013 |
| Pages | 2393-2397 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - 2013 Dec 1 |
| Event | 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013 - London, United Kingdom Duration: 2013 Sep 8 → 2013 Sep 11 |
Other
| Other | 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013 |
|---|---|
| Country | United Kingdom |
| City | London |
| Period | 13/9/8 → 13/9/11 |
Fingerprint
All Science Journal Classification (ASJC) codes
- Electrical and Electronic Engineering
Cite this
}
Spectrum-efficient operating policy for energy-harvesting clustered wireless networks. / Song, Kwonho; Lee, Jemin; Park, Sungsoo; Hong, Daesik.
2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013. 2013. p. 2393-2397 6666546.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Spectrum-efficient operating policy for energy-harvesting clustered wireless networks
AU - Song, Kwonho
AU - Lee, Jemin
AU - Park, Sungsoo
AU - Hong, Daesik
PY - 2013/12/1
Y1 - 2013/12/1
N2 - We consider a clustered wireless network composed of energy-harvesting access points (APs) to improve both spectrum efficiency and energy efficiency. Each AP only uses the harvested energy for transmission and becomes inactive when the harvested energy is less than the required energy for transmission. The number of inactive APs increases as the number of users being served by an AP increases. Considering the relationship between the number of served users and the active AP density, we propose a spectrum-efficient operating policy designed to ensure that an AP serves the closest n users rather than all users in the cluster. We derive the outage probability and the area spectral efficiency (ASE) for an energy-harvesting clustered wireless network in closed form using stochastic geometry. Numerical results show that there is an optimal number of served users per AP that maximizes the ASE, which verifies that the ASE can be increased by the proposed spectrum-efficient operating policy.
AB - We consider a clustered wireless network composed of energy-harvesting access points (APs) to improve both spectrum efficiency and energy efficiency. Each AP only uses the harvested energy for transmission and becomes inactive when the harvested energy is less than the required energy for transmission. The number of inactive APs increases as the number of users being served by an AP increases. Considering the relationship between the number of served users and the active AP density, we propose a spectrum-efficient operating policy designed to ensure that an AP serves the closest n users rather than all users in the cluster. We derive the outage probability and the area spectral efficiency (ASE) for an energy-harvesting clustered wireless network in closed form using stochastic geometry. Numerical results show that there is an optimal number of served users per AP that maximizes the ASE, which verifies that the ASE can be increased by the proposed spectrum-efficient operating policy.
UR - http://www.scopus.com/inward/record.url?scp=84893279160&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84893279160&partnerID=8YFLogxK
U2 - 10.1109/PIMRC.2013.6666546
DO - 10.1109/PIMRC.2013.6666546
M3 - Conference contribution
SN - 9781467362351
SP - 2393
EP - 2397
BT - 2013 IEEE 24th Annual International Symposium on Personal, Indoor, and Mobile Radio Communications, PIMRC 2013
ER -