Next Generation Wireless Lans 802 11n And 802 11ac

As a part of the global effort to address the overwhelming demand for wireless broadband capacity, the wireless communities in the United States have undertaken innovative initiatives such as tiered-access to shared spectrum. The Federal Communications Commission has proposed a dynamic spectrum management framework for a Citizen Broadband Radio Service (CBRS) governed by a spectrum access system (SAS). The implementation of a SAS capable of dynamic frequency assignment and interference management is critical for the success of the proposed framework. In this paper we present the efforts toward a spectrum sharing system in the U.S. context by summarizing different interest groups’ standpoint on the FCC proposed framework. We also present an example SAS architecture that accommodates the tiered access to shared spectrum and example approaches to achieve important SAS capabilities.

Spectrum access system for the citizen broadband radio service

Spectrum handoff in cognitive radio networks

A systematic review on heterogeneous routing protocols for wireless sensor network

The growing importance of humanitarian operations has created an imperative to overcome the complications currently recorded in the field. Challenges such as delays, congestion, poor communication ...

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The potential of emergent disruptive technologies for humanitarian supply chains: the integration of blockchain, Artificial Intelligence and 3D printing

The policy of permanently assigning a frequency band to a single application has led to extremely low utilization of the available spectrum. Cognitive radio, with its ability to be both intelligent and frequency agile, is thought to be one of the prime contenders to provide the necessary capabilities needed for dynamic spectrum access systems. With this in mind, this paper discusses the practical issues inherent to the deployment of spectrum management systems utilizing cognitive radios.

Practical Issues for Spectrum Management With Cognitive Radios

Wireless communications play a critical role in national security and disaster relief and are extensively utilized by first responder teams, such as police officers, firefighters, and ambulances. The first responders in emergency situations need to always be connected with one another and with the remote service centers for effective cooperation and coordination. However, the existing public safety (PS) services fail to satisfy the PS user requirements in many emergency scenarios, which usually leads to exceptionally high traffic loads. As a result, increasing the network capacity is one of the primary concerns, and spectrum sharing has been deemed the key solution. With appropriate spectrum sharing partnerships among PS agencies and commercial networks, PS users can access licensed PS spectrum, shared spectrum, as well as commercial networks when the need arises. In this article we present different initiatives undertaken by Wireless @ Virginia Tech toward the next generation PS network. We also discuss our vision of a flexible, rapidly deployable, and reconfigurable PS system to meet imminent and future demands on critical communications infrastructure and discuss the value of spectrum sharing for supporting this long-term vision.

Next generation public safety networks: A spectrum sharing approach

Discriminative feature selection for on-line signature verification

The carbon footprint concern in the development and deployment of 5G new radio systems has drawn the attention to several stakeholders. In this article, we analyze the critical power consuming component of all candidate 5G system architectures—the power amplifier (PA)—and propose PA-centric resource management solutions for green 5G communications. We discuss the impact of ongoing trends in cellular communications on sustainable green networking and analyze two communications architectures that allow exploiting the extra degrees-of-freedom from multi-antenna and massive antenna deployments: small cells/distributed antenna network and massive MIMO. For small cell systems with a moderate number of antennas, we propose a peak to average power ratio-aware resource allocation scheme for joint orthogonal frequency and space division multiple access. For massive MIMO systems, we develop a highly parallel recurrent neural network for energy-efficient precoding. Simulation results for representative 5G deployment scenarios demonstrate an energy efficiency improvement of one order of magnitude or higher with respect to current state-of-the-art solutions.

Sustainable green networking: exploiting degrees of freedom towards energy-efficient 5G systems

This paper studies the flexible flow shop scheduling problem with component altering times (FFSP-CAT), which is a specific form of the flexible flow shop scheduling problem with sequence dependent setup times in the practical scenario. Dealing with FFSP-CAT includes the jobs' machine assignment determination and the globe optimisation. We develop six rules for jobs' machine assignment, and since these rules will easily conflict with one another if they are used with the same priorities, we construct a repeated cooperative model and provide a game theoretical analysis, then derive a Nash equilibrium machine assignment scheme (NEMAS) to effectively manage these rules for jobs' machines assignment at each stage. Furthermore, to achieve the global optimum, we design an advanced compact genetic algorithm (ACGA). By combining NEMAS and ACGA, an approach named advanced compact genetic algorithm with Nash equilibrium machine assignment scheme (ACGA-NEMAS) is used for minimising the makespan of FFSP-CAT. Through extensive comparison experiments with different scales of instances, we show that the algorithm with NEMAS acquires 56.85% improvement over the algorithm without NEMAS, and ACGA-NEMAS performs 80.28% better than genetic algorithm.

Xiaofu Ma

Papers

Practical Issues for Spectrum Management With Cognitive Radios

Next generation public safety networks: A spectrum sharing approach

Discriminative feature selection for on-line signature verification

Sustainable green networking: exploiting degrees of freedom towards energy-efficient 5G systems

Multiple rules with game theoretic analysis for flexible flow shop scheduling problem with component altering times