Abstract

Since the introduction of the idea of cognitive radio, various approaches towards spectrum sharing have been considered, for example, the Licensed Shared Access (LSA), which is considered in Europe, or Citizens Broadband Radio Service (CBRS) with Spectrum Access System (SAS) regulated by the US. This paper deals with the problem of coordinated resource allocation among a set of available base stations. A detailed definition of the problem is provided, followed by a discussion on a set of heuristics proposed for solving the problem. Four solutions are presented that are based on existing standards as well as on the approaches described in the literature. Next, new multi-selection (multi-choice) algorithm is proposed and discussed in detail. The main problem is divided in two subproblems, which are solved by using graph theorem and analytical description. The performance of the proposed solutions is analyzed in various scenarios. Finally, a trade-off between power allocation and frequency use is provided. All challenges identified during the investigation of the problem are presented.

Highlights

  • It is foreseen that in the future the static models of spectrum management and licensing schemes, e.g., license-exempt and exclusive use, will be complemented by flexible ones [1]

  • The static solutions are easy in implementation and management, it is envisaged that the introduction of spectrum flexibility is necessary to accommodate the expected traffic growth for future wireless networks

  • OVERVIEW OF Citizens Broadband Radio Service (CBRS)-Spectrum Access System (SAS) TRANSMISSION SCHEME we provide a concise overview of a CBRS-SAS system, as well as the related work in the recent years

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Summary

INTRODUCTION

It is foreseen that in the future the static models of spectrum management and licensing schemes, e.g., license-exempt (as applied for, e.g., Industrial, Scientific, Medical, ISM, band or for Unlicensed National Information Infrastructure, U-NII, band) and exclusive use (as, e.g., for regular cellular operators), will be complemented by flexible ones [1]. Our approach presented in this paper extends this problem towards much more flexible resource allocation among the CBSDs - we allow for flexible power allocation, and for the adjustment of the transmit power to meet interference constraints It is worth mentioning the recent trends investigated within the Wireless Innovation Forum (such as [23]–[25]), which deal with the ways of applying spectrum coordination between GAA users in the CBRS-SAS system. I.e., [26], the authors have presented a design of the so-called hybrid centralized and distributed medium access control (HMAC) scheme for SAS In their approach, the proposed self-organized spectrum sharing scheme applies the benefits of learning algorithms based on game theory and reinforcement learning. For practical considerations it is possible to define a dense enough grid to meet this interference constraint

JOINT SPECTRUM AND POWER ALLOCATION PROBLEM STATEMENT
HEURISTIC ANALYSIS
GRAPH COLORING AND FINDING
EXHAUSTIVE SEARCH AND SOLUTION SPACE
PERFORMANCE COMPARISON
Findings
VIII. CONCLUSION
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