Spectrum Investment under Uncertainty: A Behavioral Economics Perspective
Junlin Yu, Man Hon Cheung, and Jianwei Huang

TL;DR
This paper investigates how a virtual wireless operator's spectrum investment decisions are influenced by behavioral economics, specifically prospect theory, under uncertainty, revealing how risk preferences affect profit outcomes and tradeoffs.
Contribution
It introduces a novel analysis of spectrum investment using prospect theory, capturing risk preferences beyond traditional expected utility theory, and develops a method to find the global optimal solution.
Findings
Risk-averse operators have higher minimum profits.
Risk-seeking operators achieve higher maximum profits.
Tradeoffs between profit and risk are affected by sensing costs.
Abstract
In this paper, we study a virtual wireless operator's spectrum investment problem under spectrum supply uncertainty. To obtain enough spectrum resources to meet its customer demands, the virtual operator can either sense for the temporarily unused spectrum in a licensed band, or lease spectrum from a spectrum owner. Sensing is usually cheaper than leasing, but the amount of available spectrum obtained by sensing is uncertain due to the primary users' activities in the licensed band. Previous studies on spectrum investment problems mainly considered the expected profit maximization problem of a risk-neutral operator based on the expected utility theory (EUT). In reality, however, an operator's decision is influenced by not only the consideration of expected profit maximization, but also the level of its risk preference. To capture this tradeoff between these two considerations, we…
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Taxonomy
TopicsCognitive Radio Networks and Spectrum Sensing · Financial Markets and Investment Strategies · Risk and Portfolio Optimization
