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Hardware Acceleration of the Robust Header Compression (RoHC) Algorithm

Author

  • Mohammed Al-Obaidi
  • Harshavardhan Kittur
  • Håkan Andersson
  • Viktor Öwall

Summary, in English

In LTE base-stations, RoHC is a processingintensive

algorithm that may limit the system from serving a

large number of users when it is used to compress the VoIP

packets of mobile traffic. In this paper, a hardware-software and a

full-hardware solution are proposed to accelerate the RoHC compression

algorithm in LTE base-stations and enhance the system

throughput and capacity. Results for both solutions are discussed

and compared with respect to design metrics like throughput,

capacity, power consumption, and hardware resources. This

comparison is instrumental in taking architectural level trade-off

decisions in-order to meet the present day requirements and also

be ready to support a future evolution. In terms of throughput,

a gain of 20% (6250 packets/sec) is achieved in the HW-SW

implementation by accelerating the Cyclic Redundancy Check

(CRC) and the Least Significant Bit (LSB) encoding in hardware.

The full-HW implementation leads to a throughput of 45 times

(244000 packets/sec) compared to the SW-Only implementation.

The full-HW solution consumes more Adaptive Look-Up Tables

(7477 ALUTs) compared to the HW-SW solution (2614 ALUTs)

when synthesized on Altera’s Arria II GX FPGA.

Publishing year

2013

Language

English

Pages

293-296

Publication/Series

2013 IEEE International Symposium on Circuits and Systems (ISCAS)

Document type

Conference paper

Publisher

IEEE - Institute of Electrical and Electronics Engineers Inc.

Topic

  • Electrical Engineering, Electronic Engineering, Information Engineering

Conference name

IEEE International Symposium on Circuits and Systems (ISCAS), 2013

Conference date

2013-05-19 - 2013-05-23

Conference place

Beijing, China

Status

Published

Project

  • EIT_SOS VINNOVA Industrial Excellence Center - System Design on Silicon

Research group

  • Digital ASIC

ISBN/ISSN/Other

  • ISSN: 2158-1525
  • ISSN: 0271-4310
  • ISBN: 978-1-4673-5762-3
  • ISBN: 978-1-4673-5760-9