45 resources related to Intercell Interference
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No organizations are currently tagged "Intercell Interference"
2020 IEEE International Symposium on Information Theory (ISIT)
Information theory, coding theory, communication theory, signal processing, and foundations of machine learning
RWW2020 will be an international conference covering all aspects of radio and wireless. RWW2020's multidisciplinary events will bring together innovations that are happening across the broad wireless spectrum. RWS2020, this conference application, acts as the main conference for the entire RWW of events that includes the following conferences: PAWR2020, SiRF2020, WiSNet2020, and TWiOS2020 (IEEE Topical Conference on RF/microwave Power Amplifiers, IEEE Topical Meeting on Silicon Monolithic Integrated Circuits in RF Systems, IEEE Topical Conference on Wireless Sensors and Sensor Networks, and IEEE Topical Workshop on the Internet of Space IoS, respectively). In addition to traditional podium presentations and poster sessions, tracks for IEEE Distinguished Lectures, Sunday half-day workshops, Monday panels, and a demo session are planned. A RWW2020 plenary talk are a parallel IoT Summit are planned. A student competition is also planned.
IEEE WCNC is the world premier wireless event that brings together industry professionals, academics, and individuals from government agencies and other institutions to exchange information and ideas on the advancement of wireless communications and networking technology. The conference will feature a comprehensive technical program offering numerous technical sessions with papers showcasing the latest technologies, applications and services. In addition, the conference program includes workshops, tutorials, keynote talks from industrial leaders and renowned academics, panel discussions, a large exhibition, business and industrial forums.
IEEE Global Communications Conference (GLOBECOM) is one of the IEEE Communications Society’s two flagship conferences dedicated to driving innovation in nearly every aspect of communications. Each year, more than 2,900 scientific researchers and their management submit proposals for program sessions to be held at the annual conference. After extensive peer review, the best of the proposals are selected for the conference program, which includes technical papers, tutorials, workshops and industry sessions designed specifically to advance technologies, systems and infrastructure that are continuing to reshape the world and provide all users with access to an unprecedented spectrum of high-speed, seamless and cost-effective global telecommunications services.
The ICASSP meeting is the world's largest and most comprehensive technical conference focused on signal processing and its applications. The conference will feature world-class speakers, tutorials, exhibits, and over 50 lecture and poster sessions.
No periodicals are currently tagged "Intercell Interference"
IEEE Access, 2015
In orthogonal frequency division multiple access systems, inter-cell interference (ICI) can be considered as a collision between resource blocks (RBs), which can be reduced by employing a power control strategy at colliding RBs. This paper presents a random neural network (RNN) and a genetic algorithm-based hybrid cognitive engine (CE) architecture to reduce the ICI and achieve the coverage and capacity ...
Grounding for Hybrid Vehicles
The Josephson Effect: The Original SQUIDs
ASC-2014 SQUIDs 50th Anniversary: 1 of 6 Arnold Silver
IEEE Magnetics Distinguished Lecture - Mitsuteru Inoue
The Josephson Effect: SQUIDs Then and Now: From SLUGS to Axions
ASC-2014 SQUIDs 50th Anniversary: 3 of 6 - Bob Fagaly
FPGA demonstrator of a Programmable ML Inference Accelerator - Martin Foltin - ICRC San Mateo, 2019
95uW 802.11g/n compliant fully-integrated wake-up receiver with -72dBm sensitivity in 14nm FinFET CMOS: RFIC Industry Showcase 2017
Micro-Apps 2013: Creating and Analyzing Multi-Emitter Environment Test Signals with COTS Equipment
IEEE Summit on Internet Governance 2014: Panel I - Net Neutrality
New Paradigm for Fault-Tolerant Computing with Interconnect Crosstalks - Naveen Kumar Macha - ICRC 2018
Micro-Apps 2013: Breaking the RF Carrier Barrier - 0 to 200 in Under a Second
Geoff Mulligan: IoT and Low Power Wide Area Networks Introduction - Industry Forum Panel: WF-IoT 2016
ASC-2014 SQUIDs 50th Anniversary: 5 of 6 - Ronny Stolz - SQUIDs in Geophysics
ASC-2014 SQUIDs 50th Anniversary: 6 of 6 - Kent Irwin - SQUIDs as detectors for cosmology
ASC-2014 SQUIDs 50th Anniversary: 4 of 6 - Keiji Enpuku
ASC-2014 SQUIDs 50th Anniversary: 2 of 6 - John Clarke - The Ubiquitous SQUID
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 2 of 7 - Gordon Donaldson: A Memory - part II - Colin Pegrum
ISEC 2013 Special Gordon Donaldson Session: Remembering Gordon Donaldson - 1 of 7 - Gordon Donaldson: A Memory - part I - John Clarke
In orthogonal frequency division multiple access systems, inter-cell interference (ICI) can be considered as a collision between resource blocks (RBs), which can be reduced by employing a power control strategy at colliding RBs. This paper presents a random neural network (RNN) and a genetic algorithm-based hybrid cognitive engine (CE) architecture to reduce the ICI and achieve the coverage and capacity optimization in a long-term evolution uplink system. The embedded CE within eNodeB learns from the local environment about the effect of ICI on the reliability of communications. Consequently, the CE dynamically selects the optimal transmission power for serving users based on an experienced signal-to-interference-plus-noise ratio and an ICI on a scheduled RB in the subsequent transmission time intervals. The CE also suggests acceptable transmit power to users operating on the same scheduled RB in adjacent cells through the X2 interface (a communication interface between eNodeBs). The RNN features help the CE to acquire long-term learning, fast decision making, and less computational complexity, which are essential for the development and practical deployment of any real-time cognitive communication system. In six different test cases, the simulation results have shown improvements up to 87% in long-term learning and a quick convergence of the RNN as compared with artificial neural network models. Moreover, the gains of 7% in average cell capacity and 118% in system coverage have been achieved as compared with a fractional power control method.
No standards are currently tagged "Intercell Interference"