Exploiting context, profiles, and policies in dynamic sub-carrier assignment algorithms for efficient radio resource management in OFDMA networks

Abstract

Dynamic sub-carrier assignment (DSA) is considered as one of the most important aspects for achieving efficient spectrum utilization in orthogonal frequency division multiple access (OFDMA) based networks. Most of well-known DSA algorithms operate in a best effort manner, where the full set of sub-carriers is used in order to achieve the maximum possible quality of service level per user. However, in a real network environment, there are several management aspects to be considered such as context information (users, services, and radio environment conditions), user profiles, and network operator policies. In the context of OFDMA networks management, DSA algorithms should be extended incorporating such aspects in order to introduce fairness in the assignment of sub-carriers as well as to improve the overall system performance. In this paper, an efficient radio resource management scheme that incorporates a new DSA algorithm which exploits context profiles and policies information is presented. Results showcase the benefits that the proposed approach brings in terms of fairness on sub-carriers assignment and overall system performance.

Evaluation of signalling loads in a cognitive network management architecture

“…In general, DSNPM's objectives are accomplished by applying optimization functionality, enhanced with learning capabilities, thus strengthening the characterization of the architecture as 'cognitive'. Functions and algorithms for the DSNPM entity have been specified and also enhanced with learning capabilities .…”

The E3 architecture: enabling future cellular networks with cognitive and self‐x capabilities

“…Dynamic self-organizing network planning and management (DSNPM) [28,[44][45][46] provides medium-and long-term decisions on the reconfiguration actions of a network segment, by considering certain input information and by applying optimization functionality, enhanced by learning attributes. DSNPM, for example, decides on the optimal configuration of a flexible base station (FBS).…”

Context aware resource management for mobile and fixed networking systems

“…In today's CAMoWiN environments where a vast number of cognitive mobile terminals, innovative mobile applications and different types of access networks are available, evaluation should be context-dependent and consider several factors, at different abstraction layers [17]. More specifically, a context evaluation scheme should at least satisfy the following general prerequisites: a) efficiently handle multiple, dynamically changing and potentially unexpected situations, b) guarantee optimum system's resources management, c) keep users' satisfaction levels above predefined thresholds providing personalized services [113], d) deal with complex optimization problems supporting real-time decision-making procedures [114] and e) minimize human intervention [115].…”

“…There are three main abstract types of policies, namely: a) action policies that are based on event-condition-action rules, b) goal policies that specify a desired state, and c) utility policies, which express a value for each state to indicate how desirable it is [116]. There are several types of policies having being proposed in the literature, such as: a) generic resource management policies [79], b) radio access network selection policies [117], c) generic handover policies [110], d) dynamic spectrum assignment policies [114], e) self-organizing networking policies [16], f) scanning policies [86], g) energy-saving policies [118] and h) security policies [119]. In this thesis, we assess that future policy-based CAMoWiN evaluation frameworks should simultaneously take into consideration many of the pre-mentioned types of policies.…”