Topic
Cognitive network
About: Cognitive network is a research topic. Over the lifetime, 4213 publications have been published within this topic receiving 107093 citations.
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TL;DR: Numerical and simulation results prove that the data rate of the D2D communication can be significantly enhanced and the optimal time switching (TS) ratio for energy harvesting is achieved.
Abstract: Because of the short battery life of user equipments (UEs), and the requirements for better quality of service have been more demanding, energy efficiency (EE) has emerged to be important in device...
17 citations
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TL;DR: In this article, the average rate and symbol error rate (SER) performance of an adaptive link selection based channel-aware buffer-aided relay (CABR) scheme that imposes peak-power and peak-interference constraints on the secondary nodes were derived.
Abstract: In this paper, we investigate the performance of a three-node dual-hop cognitive radio network (CRN) with a half-duplex (HD) decode-and-forward (DF) buffer-aided relay. We derive expressions for the average rate and symbol error rate (SER) performance of an adaptive link selection based channel-aware buffer-aided relay (CABR) scheme that imposes peak-power and peak-interference constraints on the secondary nodes, and compare them with those of conventional non-buffer-aided relay (CNBR) and conventional buffer-aided relay (CBR) schemes for a delay-tolerant system. For finite-delay systems, we analyze the performance of a modified threshold-based scheme for fixed-rate transmission, and demonstrate that use of a last-in-first-out buffer is advantageous in some situations. We bring out the trade-offs between delay, throughput and SER. Computer simulation results are presented to demonstrate accuracy of the derived expressions.
17 citations
15 May 2018
TL;DR: The concept of the Radio Environment Map is presented to support Cognitive Networks and improve the efficiency of spectrum usage and the architecture of REM and its relation to other military systems are presented.
Abstract: This paper presents the concept of the Radio Environment Map (REM) to support Cognitive Networks and improve the efficiency of spectrum usage. The architecture of REM and its relation to other military systems are presented. The map construction techniques based on spatial statistics and transmitter location determination are discussed. The problem of REM quality and relevant metrics is analyzed. The results of field tests taken for UHF range with sensor network are discussed and exemplary maps with different interpolation algorithms are presented.
17 citations
04 Mar 2007
TL;DR: The technical feasibility of dynamic spectrum allocation in a multi-technology and multi-operator context is studied and an algorithm, inspired by the cognitive radio cycle, is proposed.
Abstract: Future wireless communications will benefit from cognitive functionalities, operated by reconfigurable networks and terminals. In a context where any parameter could be adapted dynamically in an "always best connected" perspective, the spectrum allocation flexibility would be a powerful feature. In this paper, we study the technical feasibility of dynamic spectrum allocation in a multi-technology and multi-operator context. Firstly, the generic technical approach will be described; secondly, an algorithm, inspired by the cognitive radio cycle will then be proposed. An example of DSA simulation with legacy systems will be presented, in order to underline the algorithm validity.
17 citations
01 Dec 2011
TL;DR: A system level architecture of the Radiobot is presented and the current work on self-learning guided wide-band spectrum-sensing and future research directions are discussed, including necessary cognitive algorithms critical for its operation and the need for real-time reconfigurable hardware and RF antennas.
Abstract: A futuristic autonomous self-learning cognitive radio (CR), also called as a Radiobot, is proposed. The Radiobot is defined to be a radio device that is capable of self-managing and self-reconfiguring in real-time to match its RF environment while continuously self-learning from its past experience to achieve: 1) autonomous communication and awareness of experienced RF environment, 2) spectrum coexistence/efficiency including dynamic spectrum sharing (DSS), 3) inter-operability in heterogeneous RF network environments, 4) multi-mode operability (simultaneous operation over multiple modes/networks), and 5) power efficient green communications. In this paper, we present a system level architecture of the Radiobot and our current work on self-learning guided wide-band spectrum-sensing. We also discuss future research directions in order to make the concept a reality, including necessary cognitive algorithms critical for its operation and the need for real-time reconfigurable hardware and RF antennas.
17 citations