R
R. V. Prasad
Researcher at Delft University of Technology
Publications - 63
Citations - 1538
R. V. Prasad is an academic researcher from Delft University of Technology. The author has contributed to research in topics: Fading & Code division multiple access. The author has an hindex of 21, co-authored 63 publications receiving 1442 citations. Previous affiliations of R. V. Prasad include Association for Computing Machinery.
Papers
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Journal ArticleDOI
Cognitive functionality in next generation wireless networks: standardization efforts
TL;DR: This article discusses recent standardization efforts related to cognitive radio focusing on the work of IEEE Standards Coordinating Committee 41, formerly known as IEEE 1900, and some important tasks to be performed by the CR standardization community.
Journal ArticleDOI
Standardization and research in cognitive and dynamic spectrum access networks: IEEE SCC41 efforts and other activities
Fabrizio Granelli,Przemyslaw Pawelczak,R. V. Prasad,Koduvayur P. Subbalakshmi,Rajarathnam Chandramouli,J.A. Hoffmeyer,H.S. Berger +6 more
TL;DR: Possible future standardization topics for IEEE SCC41 are outlined, in the framework of other related standardization activities, and open research issues that present future challenges for the standardization community are discussed.
Journal ArticleDOI
A Survey on Handoffs — Lessons for 60 GHz Based Wireless Systems
TL;DR: This paper discusses and compares handoff algorithms intended for WLAN, GSM, UMTS, etc. from the point of view of their usability in 60 GHz networks and makes recommendations for handoffs algorithms in such networks.
Journal ArticleDOI
Effects of Rician faded and log-normal shadowed signals on spectrum efficiency in microcellular radio
R. V. Prasad,A. Kegel +1 more
TL;DR: An assessment of spectrum efficiency for a microcellular land mobile radio system is presented by considering the desired signal as (fast) Rician fading with (slow) log-normal shadowing and cochannel interfering signals as uncorrelated ( fast) Rayleigh fading superimposed over (slow] log- normal shadowing.
Proceedings ArticleDOI
DaRe: Data Recovery through Application Layer Coding for LoRaWAN
TL;DR: This study designs a novel coding scheme for data recovery called DaRe, which extends frames with redundant information that is calculated from the data from previous frames, and develops an implementation of this scheme, which shows that 99% of the data can be recovered with a code rate of 1/2 for up to 40% frame loss.