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Spectral-Energy Efficiency Tradeoff in Relay-Aided Massive MIMO Cellular Networks With Pilot Contamination
- Source :
- IEEE Access, Vol 4, Pp 5234-5242 (2016)
- Publication Year :
- 2016
- Publisher :
- IEEE, 2016.
-
Abstract
- This paper concerns with a relay-aided massive multiple input multiple output (MIMO) cellular network. The exact closed-form expressions of both spectral efficiency (SE) and energy efficiency (EE) are obtained for downlink single-cell multi-user multi-relay massive MIMO transmission in the pilot-contaminated regime, where the number of users is larger than the pilot sequence length. Based on the theoretical results of SE and EE, we investigate the effects of some system parameters [such as number of antennas at the base station (BS), transmit power at the BS, and transmit power of each relay station (RS)] on system performance, and achieve the tradeoff between SE and EE by power control. Specifically, the tradeoff problem is solved by joint optimization over transmit power $P$ of the BS and transmit power $p_{r}$ of each RS, so as to maximize EE while satisfying the SE requirement. With the proposition that EE function is strictly quasi-concave with either $P$ or $p_{r}$ , we propose two optimization methods: 1-D searching and alternate optimization. Comparatively, the former achieves a better performance, while the latter has a lower complexity. Simulation results validate the effectiveness of the two methods.
- Subjects :
- 3G MIMO
General Computer Science
Computer science
MIMO
Real-time computing
02 engineering and technology
Topology
relay
law.invention
0203 mechanical engineering
Relay
law
Telecommunications link
0202 electrical engineering, electronic engineering, information engineering
massive MIMO
General Materials Science
energy efficiency
Computer Science::Information Theory
General Engineering
Cellular networks
020206 networking & telecommunications
020302 automobile design & engineering
Spectral efficiency
Transmitter power output
spectral efficiency
Spatial multiplexing
Cellular network
lcsh:Electrical engineering. Electronics. Nuclear engineering
lcsh:TK1-9971
Power control
Efficient energy use
Subjects
Details
- Language :
- English
- ISSN :
- 21693536
- Volume :
- 4
- Database :
- OpenAIRE
- Journal :
- IEEE Access
- Accession number :
- edsair.doi.dedup.....7133fd8dda0ebcba9bd34911f685b0fc