Cognitive network

About: Cognitive network is a research topic. Over the lifetime, 4213 publications have been published within this topic receiving 107093 citations.

The Reconfigurable Mobile Network

Abstract: The evolution of the network architecture has been stagnant in recent time. Although cellular network architecture evolves at a faster pace to cope with rising traffic demands, it requires high CAPEX/OPEX in order to deploy new systems. Due to decreasing revenue per bit in any network servicing scenario, deploying a new network architecture is very expensive, and band-aid solutions are becoming insufficient. As such, infrastructure sharing solutions become very attractive for network operators. In this paper, we propose a new reconfigurable mobile network (RMN) architecture designed for flexibility and reconfigurability. We focus on cellular mobile networks as a superset of fixed and mobile networks. We explain the main features of our concept as an evolution to current network sharing mechanisms using network virtualization technologies. In particular, we address technologies allowing combined control for network, radio and IT infrastructure, isolation between coexisting networks and the support for customized networks. We propose a unified control plane to oversee the sharing from multiple operators, and present open issues and challenges to realize such a large scale, yet flexible network architecture for the future.

Energy Aware Spectrum Decision Framework for Cognitive Radio Networks

Abstract: Recently cognitive radios have been proposed to mitigate the problem of spectrum scarcity and spectrum under-utilization. One of the key aspect of the cognitive radio is the optimal channel selection. The cognitive radio system selects a licensed band which has acceptable availability and also satisfies the system needs in terms of bandwidth and power constraints. To this end we propose an energy aware spectrum decision framework for cognitive radio network (ESDF-CR), which guarantees a certain level of QoS to the system running on low power, by selecting those channels which require lesser power for transmission. Channel selection and packet admission control techniques have been proposed to realize the spectrum decision framework. A comparison is done with random channel selection scheme to show the effectiveness of the proposed framework.

Trends in survivable/secure cognitive networks

Abstract: Recent developments in cognitive radio networks have enabled intelligent spectrum management, dynamic message traffic patterns, and adaptive platform configuration. However, as these developments extend from the software-defined radio, there are numerous research questions that require further analysis over the user, network, and application quality of service considerations. In this position paper, we develop the key tenets of cognitive networking that enable future survivable, secure, and trusted networks that meet measures of performance and measures of effectiveness capabilities for future communication systems.

Data Aggregation Scheduling in Probabilistic Wireless Networks with Cognitive Radio Capability

Abstract: Transitional Region Phenomenon leads to the existence of lossy links in wireless networks, which results in a transmission between two users who are theoretically connected under the Deterministic Network Model cannot be guaranteed. Therefore, we focus on a more practical network model - Probabilistic Network Model (PNM) which can better characterize the lossy links in wireless networks. To be specific, we focus on the investigation of accelerating data aggregation process in probabilistic wireless networks with the cognitive radio technology. By involving cognitive radio technology, users in the wireless networks can seek extra transmission opportunity if other spectrum resource is available. Otherwise, the data aggregation process still can be done on the default working spectrum. Particularly, we are interested in the time efficient data aggregation scheduling problem. In this work, a two phase scheduling algorithm is proposed. The first phase is finding an efficient routing structure considering the speciality of the network model under investigation. In the second phase, a dynamic scheduling algorithm is introduced. Theoretical analysis is provided to estimate the lower latency bound for the scheduling algorithm, followed by the experimental simulation verification.

Evaluating Techniques for Network Layer Independence in Cognitive Networks

Abstract: Cognitive networks are the latest progression of cognitive functionality into the networking stack, an effort which began with a layer one and two focus on cognitive radios, and has lately been extended to layer three and beyond. In this paper we evaluate an approach to network layer independence in wireless cognitive networks, utilizing and extending HIP to provide host identity across a myriad of network layers that evolve to meet application and environmental constraints and requirements. We detail a use case for this type of flexibility, specifically, a disaster relief scenario with complex usage and security requirements, and present evaluations that validate this approach. This work is a part of COGNET, an architectural framework for research into architectural tradeoffs and protocol design approaches for cognitive radio networks at both local network and the global internetwork levels.