Abstract
To cope with the data surge problem and to enhance the coverage of existing cellular systems, heterogeneous networks (HetNets) are deployed in hierarchical manner, comprising of macrocells and overlaid femtocells. A novel interference mitigation technique of Reverse Frequency Allocation (RFA) scheme is introduced, which provides intercell orthogonality by dividing the cell into spatial regions and optimally allocating the frequency resources. RFA enhances the data rates of downlink femto users by eliminating the cross-tier interference from macro base station (MBS). In this paper, we extend the multiple region RFA scheme in multi-cellular network to further mitigate the impact of interference in the adjacent cells. In addition, we also develop a hybrid RFA scheme that merges the benefits of different RFA schemes in terms of large bandwidth and limited interference to achieve higher data rates. Simulation results show that the modified RFA (M-RFA) schemes exhibit superior performance as compared to the conventional RFA schemes in terms of user-fairness and improved sum capacity. For the evaluation of system performance, several metrics such as outage probability, sum rates and outage capacity have been analyzed for satisfying the constraint of minimum capacity requirement of cell edge users.
| Original language | English |
|---|---|
| Title of host publication | 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 905-910 |
| Number of pages | 6 |
| ISBN (Electronic) | 9781509061969 |
| DOIs | |
| Publication status | Published - 17 Jul 2017 |
| Event | 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017 - Las Vegas, United States Duration: 8 Jan 2017 → 11 Jan 2017 |
Conference
| Conference | 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017 |
|---|---|
| Country | United States |
| City | Las Vegas |
| Period | 8.1.17 → 11.1.17 |
Fingerprint
Keywords
- 5G Heterogeneous network
- Interference
- Outage capacity
- Reverse frequency allocation
- Sum-rate
ASJC Scopus subject areas
- Computer Networks and Communications
- Computer Science Applications
- Hardware and Architecture
- Communication
Cite this
A multiple region reverse frequency allocation scheme for downlink capacity enhancement in 5G HetNets. / Ijaz, Aneeqa; Hassan, Syed Ali; Jayakody, Dushantha Nalin K.
2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017. Institute of Electrical and Electronics Engineers Inc., 2017. p. 905-910 7983253.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - A multiple region reverse frequency allocation scheme for downlink capacity enhancement in 5G HetNets
AU - Ijaz, Aneeqa
AU - Hassan, Syed Ali
AU - Jayakody, Dushantha Nalin K.
PY - 2017/7/17
Y1 - 2017/7/17
N2 - To cope with the data surge problem and to enhance the coverage of existing cellular systems, heterogeneous networks (HetNets) are deployed in hierarchical manner, comprising of macrocells and overlaid femtocells. A novel interference mitigation technique of Reverse Frequency Allocation (RFA) scheme is introduced, which provides intercell orthogonality by dividing the cell into spatial regions and optimally allocating the frequency resources. RFA enhances the data rates of downlink femto users by eliminating the cross-tier interference from macro base station (MBS). In this paper, we extend the multiple region RFA scheme in multi-cellular network to further mitigate the impact of interference in the adjacent cells. In addition, we also develop a hybrid RFA scheme that merges the benefits of different RFA schemes in terms of large bandwidth and limited interference to achieve higher data rates. Simulation results show that the modified RFA (M-RFA) schemes exhibit superior performance as compared to the conventional RFA schemes in terms of user-fairness and improved sum capacity. For the evaluation of system performance, several metrics such as outage probability, sum rates and outage capacity have been analyzed for satisfying the constraint of minimum capacity requirement of cell edge users.
AB - To cope with the data surge problem and to enhance the coverage of existing cellular systems, heterogeneous networks (HetNets) are deployed in hierarchical manner, comprising of macrocells and overlaid femtocells. A novel interference mitigation technique of Reverse Frequency Allocation (RFA) scheme is introduced, which provides intercell orthogonality by dividing the cell into spatial regions and optimally allocating the frequency resources. RFA enhances the data rates of downlink femto users by eliminating the cross-tier interference from macro base station (MBS). In this paper, we extend the multiple region RFA scheme in multi-cellular network to further mitigate the impact of interference in the adjacent cells. In addition, we also develop a hybrid RFA scheme that merges the benefits of different RFA schemes in terms of large bandwidth and limited interference to achieve higher data rates. Simulation results show that the modified RFA (M-RFA) schemes exhibit superior performance as compared to the conventional RFA schemes in terms of user-fairness and improved sum capacity. For the evaluation of system performance, several metrics such as outage probability, sum rates and outage capacity have been analyzed for satisfying the constraint of minimum capacity requirement of cell edge users.
KW - 5G Heterogeneous network
KW - Interference
KW - Outage capacity
KW - Reverse frequency allocation
KW - Sum-rate
UR - http://www.scopus.com/inward/record.url?scp=85017660469&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85017660469&partnerID=8YFLogxK
U2 - 10.1109/CCNC.2017.7983253
DO - 10.1109/CCNC.2017.7983253
M3 - Conference contribution
AN - SCOPUS:85017660469
SP - 905
EP - 910
BT - 2017 14th IEEE Annual Consumer Communications and Networking Conference, CCNC 2017
PB - Institute of Electrical and Electronics Engineers Inc.
ER -