D-FROST: Distributed Frequency Reuse-Based Opportunistic Spectrum Trading via Matching With Evolving Preferences
نویسندگان
چکیده
منابع مشابه
Fundamental tradeoffs in robust spectrum sensing for opportunistic frequency reuse
Under the current system of spectrum allocation, spectral bands are allocated for time-scales ranging from years to decades and spatial scales ranging from counties to continents. Robust operation of devices is enabled by the use of guard bands in space and frequency. This paradigm has resulted in vastly underutilized spectrum bands, even in urban locales. However, advances in wireless technolo...
متن کاملStable Matching with Evolving Preferences
We consider the problem of stable matching with dynamic preference lists. At each time step, the preference list of some player may change by swapping random adjacent members. The goal of a central agency (algorithm) is to maintain an approximately stable matching (in terms of number of blocking pairs) at all times. The changes in the preference lists are not reported to the algorithm, but must...
متن کاملD-dimensional Stable Matching with Cyclic Preferences
Gale and Shapley [D. Gale and L. S. Shapley. College admissions and the stability of marriage. The American Mathematical Monthly, 69(1):9–15, 1962] have shown that in marriage markets, where men and women have preferences over potential partners of the other gender, a stable matching always exists. In this paper, we study a more general framework with d different genders due to Knuth [D. E. Knu...
متن کاملEvolving Trading Rule-Based Policies
Trading-rule representation is an important factor to consider when designing a quantitative trading system. This study implements a trading strategy as a rule-based policy. The result is an intuitive human-readable format which allows for seamless integration of domain knowledge. The components of a policy are specified and represented as a set of rewrite rules in a context-free grammar. These...
متن کاملEvolving Rule-Based Trading Systems
In this study, a market trading rulebase is optimised using genetic programming (GP). The rulebase is comprised of simple relationships between technical indicators, and generates signals to buy, sell short, and remain inactive. The methodology is applied to prediction of the Standard & Poor’s composite index (02-Jan-1990 to 18-Oct-2001). Two potential market systems are inferred: a simple syst...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: IEEE Transactions on Wireless Communications
سال: 2018
ISSN: 1536-1276
DOI: 10.1109/twc.2018.2816064