TPRC 2024: The 52nd Research Conference on Communications, Information and Inter

Link to Paper

Abstract:
An open-access market design is presented to manage network congestion and optimize network use and value. Open access eliminates the walled-garden approach; instead, it commoditizes communications network capacity while decentralizing access to a transparent wholesale market. It ensures that scarce capacity is put to its best use by providing a platform for efficient trade. The market operates without friction using flow trading. It allows participants to bid persistent piecewise-linear downward-sloping demand curves for portfolios of products, gradually adjusting positions toward targeted needs. Flow trading allows fine granularity of products in time and location, creating complete markets. Liquidity and computational feasibility are maintained despite trading millions of interrelated forward and real-time products. Participants manage risk and adverse price impact through trade-to-target strategies. The market operator clears the market every hour, finding unique prices and quantities that maximize as-bid social welfare. Prices, aggregate quantities, and the slope of the aggregate net demand are public. The market operator observes positions, enabling it to optimize collateral requirements to minimize default risk. Priority pricing is used to manage real-time imbalances. An application of the model is developed for intersatellite wholesale communications with optical (laser-beamed) mesh networks in space, showing several efficiency gains.

Link to paper

Abstract:
Defining property rights in the electromagnetic spectrum is challenging because the natural laws governing the behavior of electromagnetic radiations are very different from those describing material resources like land, water, or air. Additionally, the rules for the composition and decomposition of spectrum licenses, thus created for trading in secondary markets, are difficult to derive and are generally not well understood.

In this paper, we employ the framework of dynamical systems theory to introduce a new theoretical model that captures the behavior of a radio service as a dynamical system that operates within a context of concurrently operating radio services. We then introduce the formal framework of assume-guarantee contracts for specifying spectrum operating rights allocated to each radio service. Our proposed model helps unify existing frameworks that rely on an environment-based specification of transmission permissions and reception protections. Our framework is in accordance with the FCC's 2023 Policy Statement that establishes spectrum management principles for transmitters and receivers.

Our work opens up an inter-disciplinary research program between the fields of spectrum management, robotics, control-theory and programming language theory. We illustrate the applicability of our framework with a simple two-system example focusing on FCC's recent 5G-vs-radio altimeter problem.