Transcript Slides S802.16m-07/204r1

S802.16m-07/203
Adaptive Radio Resource Allocation for Wireless Multiuser Multimedia
Communications in Project 802.16m SDD
Document Number: S802.16m-07/204
Date Submitted:
November 12, 2007
Source:
Yuan Pin Lin, Chun Fang Lee, Fan-Shuo Tseng, Chieh Yuan Ho, Chung-Hsien Hsu, Ta-Sung Lee, Yu-Ted Su, Wen-Rong Wu,
Kai-Ten Feng, Ching Yao Huang,
NCTU/MediaTek Inc. 1001 Ta Hsueh Road, Hsinchu, Taiwan 300, R.O.C.
I-Kang Fu, Pei-Kai Liao and Paul Cheng ([email protected])
MediaTek Inc.
No. 1 Dusing Rd. 1
Hsinchu Science Park Hsinchu City 300
Taiwan
Venue:
Atlanta, GA
Base Contribution:
IEEE C802.16m-07/204
Purpose:
Propose TGm SDD to have a section/subsection “Adaptive radio resource allocation”.
Notice:
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Introduction
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Motivation
– Radio resource allocation is an very important technique to improve overall system
capacity.
– According to IEEE 802.16 standard documents, current system does not support the
function of adaptive radio resource allocation to adaptively allocate radio resources, such
as power and subchannels, to multiple users or services with different QoS requirements.
– The improvement of spectrum efficiency is limited by fixed channel assignment
rule/algorithm
– In section 6.4 “Radio resource management ” of 802.16m SRD,
“IEEE 802.16m shall enable the advanced RRM for efficient utilization of radio
resources. This may be achieved by appropriate measurement/reporting, interference
management and flexible resource allocation mechanisms.”
•
Purpose
– This contribution is to present efficient algorithms of adaptive radio resource
allocation and show that low complexity algorithms can be obtained with
minor performance degradation compared with the optimal performance.
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Multi-user OFDM system block diagram
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Average performance loss (with respect to the optimum
solution) of DPRA algorithm.
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Proposed Texts in the Table of Content (ToC)
x.y Adaptive radio resource allocation
[In order to support this functionality, it is required to provide
minimum data rate of each user or service from upper layers
for adaptive radio resource allocation. The information can be
assigned in MAC layer. With this information, the designed
algorithm calculates optimum or suboptimum solution to
efficiently allocate radio resources, such as power and
subchannels, to users or services based on current wireless
channel status. Since it was shown that low complexity
algorithms are obtainable without much performance loss, the
inclusion of this functionality will not contribute much
complexity in the transceiver design.]
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