Abstract
Cognitive radio-enabled heterogeneous networks are an emerging technology to address the exponential increase of mobile traffic demand in the next-generation mobile communications. Recently, many technological issues such as resource allocation and interference mitigation pertaining to cognitive heterogeneous networks have been studied, but most studies focus on maximizing spectral efficiency. This chapter introduces the resource allocation problem in cognitive heterogeneous networks, where the cross-tier interference mitigation, imperfect spectrum sensing, and energy efficiency are considered. The optimization of power allocation is formulated as a non-convex optimization problem, which is then transformed to a convex optimization problem. An iterative power control algorithm is developed by considering imperfect spectrum sensing, cross-tier interference mitigation, and energy efficiency.
| Original language | English |
|---|---|
| Title of host publication | Handbook of Cognitive Radio |
| Publisher | Springer Singapore |
| Pages | 635-680 |
| Number of pages | 46 |
| Volume | 1-3 |
| ISBN (Electronic) | 9789811013942 |
| ISBN (Print) | 9789811013935 |
| DOIs | |
| Publication status | Published - Feb 21 2019 |
Fingerprint
ASJC Scopus subject areas
- Engineering(all)
- Mathematics(all)
Cite this
Resource allocation in spectrum-sharing cognitive heterogeneous networks. / Zhang, Haijun; Tsiftsis, Theodoros; Cheng, Julian; Leung, Victor C.M.
Handbook of Cognitive Radio. Vol. 1-3 Springer Singapore, 2019. p. 635-680.Research output: Chapter in Book/Report/Conference proceeding › Chapter
}
TY - CHAP
T1 - Resource allocation in spectrum-sharing cognitive heterogeneous networks
AU - Zhang, Haijun
AU - Tsiftsis, Theodoros
AU - Cheng, Julian
AU - Leung, Victor C.M.
PY - 2019/2/21
Y1 - 2019/2/21
N2 - Cognitive radio-enabled heterogeneous networks are an emerging technology to address the exponential increase of mobile traffic demand in the next-generation mobile communications. Recently, many technological issues such as resource allocation and interference mitigation pertaining to cognitive heterogeneous networks have been studied, but most studies focus on maximizing spectral efficiency. This chapter introduces the resource allocation problem in cognitive heterogeneous networks, where the cross-tier interference mitigation, imperfect spectrum sensing, and energy efficiency are considered. The optimization of power allocation is formulated as a non-convex optimization problem, which is then transformed to a convex optimization problem. An iterative power control algorithm is developed by considering imperfect spectrum sensing, cross-tier interference mitigation, and energy efficiency.
AB - Cognitive radio-enabled heterogeneous networks are an emerging technology to address the exponential increase of mobile traffic demand in the next-generation mobile communications. Recently, many technological issues such as resource allocation and interference mitigation pertaining to cognitive heterogeneous networks have been studied, but most studies focus on maximizing spectral efficiency. This chapter introduces the resource allocation problem in cognitive heterogeneous networks, where the cross-tier interference mitigation, imperfect spectrum sensing, and energy efficiency are considered. The optimization of power allocation is formulated as a non-convex optimization problem, which is then transformed to a convex optimization problem. An iterative power control algorithm is developed by considering imperfect spectrum sensing, cross-tier interference mitigation, and energy efficiency.
UR - http://www.scopus.com/inward/record.url?scp=85063908826&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85063908826&partnerID=8YFLogxK
U2 - 10.1007/978-981-10-1394-2_19
DO - 10.1007/978-981-10-1394-2_19
M3 - Chapter
SN - 9789811013935
VL - 1-3
SP - 635
EP - 680
BT - Handbook of Cognitive Radio
PB - Springer Singapore
ER -