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Statistical CSI Driven Transmit Antenna Selection and Power Adaptation in Underlay Spectrum Sharing Systems
- Source :
- IEEE Transactions on Communications. 69:2923-2934
- Publication Year :
- 2021
- Publisher :
- Institute of Electrical and Electronics Engineers (IEEE), 2021.
-
Abstract
- In underlay spectrum sharing, transmit antenna selection (TAS) improves the performance of a secondary system and helps it control the interference it causes to a primary system. TAS does so with a hardware complexity and cost comparable to a single antenna system. We present a novel and optimal joint TAS and continuous power adaptation rule for a practically relevant, less explored model in which the secondary transmitter knows only the statistics of channel gains from itself to one or more primary receivers. The rule minimizes the average symbol error probability (SEP) of the secondary system for an entire class of stochastic interference constraints. This general class subsumes the average interference constraint and its novel generalization, and the interference-outage constraint. We derive closed-form expressions for the transmit power and selected antenna. We then develop a general analysis of the optimal average SEP that applies to several widely-used fading models. We also present computationally-efficient approaches to determine the parameters that specify the optimal rule. Our comprehensive numerical results characterize the very different impacts of the interference constraint on both secondary and primary systems. They show that the optimal rule reduces the average SEP by two orders of magnitude compared to conventional approaches.
- Subjects :
- Mathematical optimization
Computer science
Transmitter
020206 networking & telecommunications
020302 automobile design & engineering
02 engineering and technology
Transmitter power output
Interference (wave propagation)
Constraint (information theory)
0203 mechanical engineering
0202 electrical engineering, electronic engineering, information engineering
Fading
Electrical and Electronic Engineering
Underlay
Antenna (radio)
Computer Science::Information Theory
Communication channel
Subjects
Details
- ISSN :
- 15580857 and 00906778
- Volume :
- 69
- Database :
- OpenAIRE
- Journal :
- IEEE Transactions on Communications
- Accession number :
- edsair.doi...........cbd8555307a822fe287a3becc0381ea5