Abstract
This paper introduces a novel quantitative framework for
measuring the risk and the reward provided by adaptive
transmission schemes. In particular, the reward is
measured as the expected value of the link spectral
efficiency in excess of some predefined threshold. The
risk, on the other hand, is the nth root of the nth order
lower partial moment of the link spectral efficiency
distribution. We apply mathematical tools of finance
theory to analyze the risk-reward performance of various
state-of-the-art adaptive transmission schemes in generic
multi- antenna channels. We identify the maximum-return,
minimum- risk, efficient, and optimal risk-reward
schemes. The numerical results suggest that in a general
case the optimal risk-reward scheme is neither the scheme
that maximizes the expected link spectral efficiency nor
the scheme that minimizes the risk by minimizing, e.g.,
the outage probability. The financial risk-reward theory
brings a new intuition to the understanding of adaptive
transmission in nonergodic channels. (15 refs.)
Original language | English |
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Title of host publication | IEEE Vehicular Technology Conference |
Subtitle of host publication | VTC Spring 2008 |
Publisher | IEEE Institute of Electrical and Electronic Engineers |
Pages | 1756-1760 |
ISBN (Electronic) | 978-1-4244-1645-5 |
ISBN (Print) | 978-1-4244-1644-8 |
DOIs | |
Publication status | Published - 2008 |
MoE publication type | A4 Article in a conference publication |
Event | IEEE Vehicular Technology Conference, VTC Spring 2008 - Singapore, Singapore Duration: 11 May 2008 → 14 May 2008 |
Conference
Conference | IEEE Vehicular Technology Conference, VTC Spring 2008 |
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Abbreviated title | VTC Spring 2008 |
Country | Singapore |
City | Singapore |
Period | 11/05/08 → 14/05/08 |
Keywords
- adaptive transmission
- finance theory
- multiantenna systems
- finance
- particle measurements
- narrowband
- Gaussian channels
- adaptive systems
- performance analysis
- vectors
- fading