Functional Architecture of End-to-End Reconfigurable Systems

Abstract

-Adaptive networks are envisaged to play a significant part in the future, where the time and space variations in the traffic pattern will necessitate the ability to continuously amend the Radio Access Technologies' (RATs') operating parameters. Reconfiguration of communications systems is a facilitator towards this convergence and enables the dynamic adaptation and optimization of the access characteristics. However, such far ranging optimization concept involves many different mechanisms and work areas. Each of these areas provides an answer to a different optimization problem; Dynamic Network Planning and Management (DNPM) provides a load and demand driven optimization of the radio planning of multiple different networks within a given area. Advanced Spectrum Management (ASM) enables short term use of spectrum for services with higher demand. Finally Joint Radio Resource Management (JRRM) coordinates different access schemes and facilitates a more centralized approach to allocation of radio resource. Each of the schemes optimizes spectrum and radio resource usage on a different time scale. ARRM deals with the rather short term allocation, ASM with more medium term spectrum assignments while DNPM assumes time scales up to the range of weeks or months. Consequently, there is need of combining all working areas in the form of a Functional Architecture (FA), where each module represents a concept, aiming at forming part of the global end-to-end reconfigurability architecture. This paper includes a detailed analysis of the Reconfigurability FA, along with a description of the functionality of each of the modules included therein.

Dynamic Property Rights Spectrum Access: Flexible Ownership Based Spectrum Management

“…Theorem 3.1: For any operator i, the solution of the optimization problem (during the operator competition) in (11) satisfies the constraint with equality;…”

“…This results in a corresponding increase in the associated acceptance probability from A (R i,a , P i,a ) to A (R i,a + ∆, P i,a ). Considering (12), it is clear that such an increase would potentially also increase N n=1 β i,n (R i,n , P i,n ), not altering the second term (W i V ) of the objective function in (11). Consequently the overall effect of such an increase would be an increase in the achieved total expected profit.…”

“…Proof: Consider the operator optimizations in (11). Note that the solution of the operator optimization problem does not depend on V , as V is only included in the second term of the objective function which does not involve any of the optimization parameters.…”

“…Various other dynamic spectrum allocation schemes managing spectrum access across service providers have also been studied [10], [11]. [12] develops a spectrum allocation scheme based on spectrum auctioning among the operators, however it does not consider operator competitions for the users in the system.…”

The Most Possible Scheme of Joint Service Detection for the Next Wireless Communication Technologies

“…In the future, wireless technology is designed to be an evolution of mobile communication systems aiming at the provision of highly sophisticated services, that it comprises several radio access technologies that need to be made to cooperate with each other [2], [3].…”