Research Article
Massive MIMO and Femto Cells for Energy Efficient Cognitive Radio Networks
@INPROCEEDINGS{10.1007/978-3-319-24540-9_42, author={S. Barnes and S. Joshi and B. Maharaj and A. Alfa}, title={Massive MIMO and Femto Cells for Energy Efficient Cognitive Radio Networks}, proceedings={Cognitive Radio Oriented Wireless Networks. 10th International Conference, CROWNCOM 2015, Doha, Qatar, April 21--23, 2015, Revised Selected Papers}, proceedings_a={CROWNCOM}, year={2015}, month={10}, keywords={Cognitive radio network Energy efficiency Femto cells Massive MIMO}, doi={10.1007/978-3-319-24540-9_42} }- S. Barnes
S. Joshi
B. Maharaj
A. Alfa
Year: 2015
Massive MIMO and Femto Cells for Energy Efficient Cognitive Radio Networks
CROWNCOM
Springer
DOI: 10.1007/978-3-319-24540-9_42
Abstract
In this paper, energy efficiency (EE) was investigated for a cognitive radio network (CRN) where massive multiple-input multipleoutput (MIMO) was combined with femto cells. A heterogeneous network was considered to maximise EE, while massive MIMO was implemented to increase spatial reuse and focus energy into smaller spatial regions. Cooperation between femto cell based relay stations (RS) and a micro cell based secondary base station (SBS) allowed for secondary user (SU) quality-of-service (QoS) requirements to be met and also for control over primary user (PU) interference. Two key issues were addressed by the proposed model, namely improved CRN EE and reduced PU interference. The formulated EE optimisation problem was non-convex and thus converted into a semi-definite problem. Simulation results show that combining massive MIMO at the micro cell level with femto cells, lead to a CRN EE improvement. The addition of femto cells also lead to a reduction in PU interference.
