INTRODUCTION: Wireless Sensor Network is an interesting technology, which has great deal of node power, which affects the quality of various service parameters. The sensor nodes have been built with fixed energy and spend certain amount of energy for each data tran
INTRODUCTION: The Authors present a new approach to a method of dynamic spectrum management for militarymobile ad hoc network. They propose that data concerning vital signs of tactical radio operators be used as contextinformation for spectrum management. If the operator’s inability to operate and protect the tactical radio is identified,actions (remote control of radio) are taken with the aim to release spectrum resources which used by the radio.Additionally, in this case remote control of radio allows switch the radio to modes used by search and rescue teams andlock the radio for unauthorized person.OBJECTIVES: The primary objective of this study was use vital signs of tactical radio operator’s as context informationfor dynamic spectrum management within MANET.METHODS: Tests for correct detection of vital signs were carried out for data generated on a Hal S3201 adult patientsimulator. Hypotheses about radio operator's vital signs were verified by means of a belief function defined in DempsterShafer theory.RESULTS: Loss vital signs by the operator allows to remote turn off his/her tactical radio while allocating more resourcesto other network users, which allow increasing data throughput.CONCLUSION: Monitoring vital signs of a tactical radio operator enables detecting combat readiness loss which resultsin inability to protect communications and can be used in spectrum management mechanisms.
Remote and rural areas are a challenge to deploy cost-efficient connectivity solutions. 5G technology needslower frequencies, which calls for spectrum sharing for local networks. Spectrum sensing could complementtraditional database approach for spectrum sharing in these areas. This paper studies a windowing based(WIBA) blind spectrum sensing method and compares its performance to a localization algorithm based ondouble-thresholding (LAD). Both methods are based on energy detection and can be used in any band fordetecting rather narrowband signals. Probabilities of detection and false alarm, relative mean square error,number of detected signals and detection distances were evaluated in multipath, multi-signal and rural areachannel conditions. The simulation results show tha the WIBA method is suitable for 5G remote areas, dueto its good detection performance in low signal-to-noise ratios (SNR) with low complexity. Results also showimportance of the detection window selection.
Radio Access Network (RAN) slicing is one of the key enablers to provide the design flexibility and enable 5G system to support heterogeneous services over a common platform (i.e., by creating a customized slice for each service). In this regard, this paper provides an analysis of a Reinforcement Learning (RL)-based RAN slicing strategy for a heterogeneous network with two generic services of 5G, namely enhanced mobile broadband (eMBB) and vehicle-to-everything (V2X). In particular, this paper investigates the RAN slicing by evaluating the proposed scheme under different algorithm configurations (i.e., number of actions of RL) and parameters in order to analyze the performance in terms of metrics such as RL convergence time and to demonstrate the capability of the algorithm to perform an efficient allocation of resources among slices. In addition, this study compares the results obtained by the proposed solution to those obtained with a Proportional Scheme.
In Long Term Evolution (LTE) networks, centroid topology optimization (CTO)-based schemes have been widely used to construct network topologies such that overall network performance is improved. In this paper, we systematically analyze CTO-based schemes and develop new schemes to improve network performance by reconnecting disconnected devices. First, we conduct an investigation of CTO-based schemes to understand their limitations. Then, we propose two schemes, called the Power Control-based scheme and Femto Relaybased scheme, to overcome this limitation in LTE networks, in which CTO-based schemes are implemented. Via intensive performance evaluation using NS3, we validate the effectiveness of our proposed schemes towards addressing the limitations of CTO-based schemes. Our results demonstrate an improvement in LTEnetwork performance above both the unoptimized and CTO-based schemes with respect to throughput, delay, delay standard deviation (DSD), etc.
