Spectrum Innovation Initiative—National Center for Wireless Spectrum Research (NSF)

2021 ◽  
Vol 45 (6) ◽  
pp. 3-3
Keyword(s):  
Wireless Spectrum

scholarly journals Communication networks beyond the capacity crunch

2016 ◽  
Vol 374 (2062) ◽  
pp. 20150191 ◽  
Author(s):  
A. D. Ellis ◽  
N. Mac Suibhne ◽  
D. Saad ◽  
D. N. Payne
Keyword(s):  
Communication Networks ◽  
Optical Fibre ◽  
Royal Society ◽  
Business Practice ◽  
Net Neutrality ◽  
Negative Consequences ◽  
Recent Discussion ◽  
Use Of Technology ◽  
Spectrum Distribution ◽  
Wireless Spectrum

This issue of Philosophical Transactions of the Royal Society, Part A represents a summary of the recent discussion meeting ‘Communication networks beyond the capacity crunch’. The purpose of the meeting was to establish the nature of the capacity crunch, estimate the time scales associated with it and to begin to find solutions to enable continued growth in a post-crunch era. The meeting confirmed that, in addition to a capacity shortage within a single optical fibre, many other ‘crunches’ are foreseen in the field of communications, both societal and technical. Technical crunches identified included the nonlinear Shannon limit, wireless spectrum, distribution of 5G signals (front haul and back haul), while societal influences included net neutrality, creative content generation and distribution and latency, and finally energy and cost. The meeting concluded with the observation that these many crunches are genuine and may influence our future use of technology, but encouragingly noted that research and business practice are already moving to alleviate many of the negative consequences.

scholarly journals A Baseband Wireless Spectrum Hypervisor for Multiplexing Concurrent OFDM Signals

Sensors ◽  
2020 ◽  
Vol 20 (4) ◽  
pp. 1101
Author(s):  
Felipe A. P. de Figueiredo ◽  
Ruben Mennes ◽  
Irfan Jabandžić ◽  
Xianjun Jiao ◽  
Ingrid Moerman
Keyword(s):  
Radio Frequency ◽  
Mobile Networks ◽  
Spectral Efficiency ◽  
Base Stations ◽  
Traffic Load ◽  
Front End ◽  
Rf Front End ◽  
Radio Access ◽  
Wireless Spectrum ◽  
Arbitrary Frequency

The next generation of wireless and mobile networks will have to handle a significant increase in traffic load compared to the current ones. This situation calls for novel ways to increase the spectral efficiency. Therefore, in this paper, we propose a wireless spectrum hypervisor architecture that abstracts a radio frequency (RF) front-end into a configurable number of virtual RF front ends. The proposed architecture has the ability to enable flexible spectrum access in existing wireless and mobile networks, which is a challenging task due to the limited spectrum programmability, i.e., the capability a system has to change the spectral properties of a given signal to fit an arbitrary frequency allocation. The proposed architecture is a non-intrusive and highly optimized wireless hypervisor that multiplexes the signals of several different and concurrent multi-carrier-based radio access technologies with numerologies that are multiple integers of one another, which are also referred in our work as radio access technologies with correlated numerology. For example, the proposed architecture can multiplex the signals of several Wi-Fi access points, several LTE base stations, several WiMAX base stations, etc. As it able to multiplex the signals of radio access technologies with correlated numerology, it can, for instance, multiplex the signals of LTE, 5G-NR and NB-IoT base stations. It abstracts a radio frequency front-end into a configurable number of virtual RF front ends, making it possible for such different technologies to share the same RF front-end and consequently reduce the costs and increasing the spectral efficiency by employing densification, once several networks share the same infrastructure or by dynamically accessing free chunks of spectrum. Therefore, the main goal of the proposed approach is to improve spectral efficiency by efficiently using vacant gaps in congested spectrum bandwidths or adopting network densification through infrastructure sharing. We demonstrate mathematically how our proposed approach works and present several simulation results proving its functionality and efficiency. Additionally, we designed and implemented an open-source and free proof of concept prototype of the proposed architecture, which can be used by researchers and developers to run experiments or extend the concept to other applications. We present several experimental results used to validate the proposed prototype. We demonstrate that the prototype can easily handle up to 12 concurrent physical layers.

SCAS: sensing channel assignment for wireless spectrum sensor networks

2013 ◽  
Vol 20 (5) ◽  
pp. 817-831 ◽  
Author(s):  
Lan Cheng ◽  
Chuanping Hu ◽  
Yunhuai Liu ◽  
Lionel Ni
Keyword(s):  
Sensor Networks ◽  
Channel Assignment ◽  
Wireless Spectrum

Intelligent Caching Wireless Data Access in the Wireless Spectrum

2013 ◽  
Vol 11 (5) ◽  
Author(s):  
Syazwa Mad Jais ◽  
Sarina Sulaiman ◽  
Siti Mariyam Shamsuddin
Keyword(s):  
Data Access ◽  
Wireless Data ◽  
Wireless Spectrum

scholarly journals CBRS Spectrum Sharing between LTE-U and WiFi: A Multiarmed Bandit Approach

2016 ◽  
Vol 2016 ◽  
pp. 1-12 ◽  
Author(s):  
Imtiaz Parvez ◽  
M. G. S. Sriyananda ◽  
İsmail Güvenç ◽  
Mehdi Bennis ◽  
Arif Sarwat
Keyword(s):  
Spectrum Sharing ◽  
High Energy ◽  
Base Station ◽  
Wifi Networks ◽  
High Data ◽  
Downlink Power Control ◽  
Broadband Radio ◽  
Wireless Spectrum ◽  
Authorized Access ◽  
Multiarmed Bandit

The surge of mobile devices such as smartphone and tablets requires additional capacity. To achieve ubiquitous and high data rate Internet connectivity, effective spectrum sharing and utilization of the wireless spectrum carry critical importance. In this paper, we consider the use of unlicensed LTE (LTE-U) technology in the 3.5 GHz Citizens Broadband Radio Service (CBRS) band and develop a multiarmed bandit (MAB) based spectrum sharing technique for a smooth coexistence with WiFi. In particular, we consider LTE-U to operate as a General Authorized Access (GAA) user; hereby MAB is used to adaptively optimize the transmission duty cycle of LTE-U transmissions. Additionally, we incorporate downlink power control which yields a high energy efficiency and interference suppression. Simulation results demonstrate a significant improvement in the aggregate capacity (approximately 33%) and cell-edge throughput of coexisting LTE-U and WiFi networks for different base station densities and user densities.

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