Abstract

We address the problem of spectrum sharing where competitive operators coexist in the same frequency band. First, we model this problem as a strategic non-cooperative game where operators simultaneously share the spectrum according to the Nash Equilibrium (NE). Given a set of channel realizations, several Nash equilibria exist which renders the outcome of the game unpredictable. Then, in a cognitive context with the presence of primary and secondary operators, the inter-operator spectrum sharing problem is reformulated as a Stackelberg game using hierarchy where the primary operator is the leader. The Stackelberg Equilibrium (SE) is reached where the best response of the secondary operator is taken into account upon maximizing the primary operator's utility function. Moreover, an extension to the multiple operators spectrum sharing problem is given. It is shown that the Stackelberg approach yields better payoffs for operators compared to the classical water-filling approach. Finally, we assess the goodness of the proposed distributed approach by comparing its performance to the centralized approach.

Highlights

  • Spectrum sharing between wireless networks improves the efficiency of spectrum usage where a migration toward flexible spectrum management is paramount to alleviate spectrum scarcity and its underutilization

  • We suppose that K transmitters share a frequency band composed of N carriers where each transmitter transmits in any combination of channels and at any time. ( The terms transmitter and operator are interchangeably used throughout the paper.) On each carrier n = 1 · · · N, transmitter k = 1 · · · K sends the information xkn = pknsnk, where snk represents the transmitted data and pkn denotes the corresponding transmitted power of user k on carrier n

  • We studied the problem of spectrum sharing between operators from two different perspectives

Read more

Summary

Introduction

Spectrum sharing between wireless networks improves the efficiency of spectrum usage where a migration toward flexible spectrum management is paramount to alleviate spectrum scarcity and its underutilization. It is found that under suitable conditions, the iterative WF algorithm for the two-user Gaussian interference game converges to the unique Nash equilibrium from any starting point. It is worth pointing out that the Stackelberg formulation naturally arises in some contexts of practical interest: (a) when primary and secondary systems share the spectrum, (b) when user have access to the medium in an asynchronous manner, (c) when operators deploy their networks at different times, and (d) when some nodes have more power than others such as the base station. In [26], the authors investigate a similar power allocation problem but solely focus on channel realizations in which the Nash equilibrium of the game is unique.

System Model
Noncooperative Spectrum Sharing Game
A Special Case of Two Operators and Two Carriers
Numerical Evaluation
Conclusion
Full Text
Published version (Free)

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call