0wng Wpan Wlan Wwan Multi Radio Coexistence

8/6/2019 0wng Wpan Wlan Wwan Multi Radio Coexistence

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Zhu & Stephens (Intel Corporation)Slide 1

WPAN/WLAN/WWAN Multi-Radio

CoexistenceDate: YYYY-MM-DD

Name Company Address Phone email

Jing Zhu IntelCorporation

+1 (503) 264-7073

[email protected]

Adrian Stephens IntelCorporation

+1 (503) 616-3800

[email protected]

Authors:


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Zhu & Stephens (Intel Corporation)Slide

AbstractThis presentation ives an overview on multi-radio

oexisten e, overin usage odel, roble , analysis,

and solution It shows that oexisten e has to onsider

both roxi ity and collocation Collo ation imposes bihallen es due to limited isolation and various interferen e

sour es Todays solutions are neither effe tive , nor

s alable with number of radios and number of vendors

Standardi ation efforts are needed to provide infor ation

service, co and, and air-interface support ne essaryfor addressin oexisten e issues


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Radios on a latforUsage Radio Band

WAN

Cellular (GSM, CDMA,

GPRS)

824-894 MHz, 880 960 MHz

1770-1880 MHz, 1850-1990 MHz

UMTS (W-CDMA,

CDMA 2000, 1XEV-DV,

1XEV-DO)

1920-1980 MHz

2110 -2170 MHz

802.16 (WiMAX) 2.300 2.400 GHz

2.496 2.690 GHz

3.300 3.800 GHz

LAN 802.11 (WiFi) 2.412-2.4835 GHz

4.9 5.9 GHzPAN 802.15.1 (Bluetoot ) 2.4GHz

UWB (Wireless USB) 3.1GHz 10.6GHz

Location GPS 1.2GHz, 1.5 to 1.6 GHz

Digital Broadcast DVB-H TV 1.6 to 1.7 GHz

other names and brands may be claimed as the properties of othersother names and brands may be claimed as the properties of others


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Coexistence Proble s

Proxi ity Path Loss Model

Collocation

OOB (out-of-band) emission /

Transmitter Noise Re eiver blo kin / desensiti ation

Inter-Modulation Produ t (IMP)

10MHz10MHz

12MHz12MHz


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Coexistence Analysis

Analysis Met ods (source: IEEE 802.19-07/0003r0) Minimum Couplin Loss (MCL) the worst- ase approa h, to establish

ri id rules for minimum separation

nalysis of Random Trials- the Monte-Carlo method, to establishprobability of interferen e for a iven realisti deployment s enario

Modelling Coexistence Interference (source: IEEE 802.11-06/0338r4) Geometri nalysis (link bud et, path loss model)

pat loss odel is not accurate for odelling collocation interference

Temporal / Spe tral nalysis (hit probability)

still apply to collocation, but need to consider adjacent band

Ot er Issues

Identify / C aracterize Interference Sources: OOB emission, re eiverblo kin , Inter-Modulation (IM)

Evaluate Interference Rejection Measures: adaptive frequen yhoppin ( FH), antenna isolation, filterin


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July 2007


Tec niqueTec nique IssuesIssues

Spectru : FCC spectru partition

/ spectru ask

insufficient in reducing interferences forproxi ity and

collocation

need refining for proxi ity coexistence

not effective for collocation coexistence

PHY: Antenna Isolation (AI), AFH,trans ission power control

(TPC), dyna ic frequency

selection (DFS), notc filtering

sacrifice perfor ance (e.g. filter reduces dyna ic range)

vendor-specific, co ponent-specific and often not

interoperable

not s alable (with number of radios)

not future ompatible, slow Time-To-Market (TTM)

additional cost and size

not effective for severe collocation coexistence proble(e.g. MCL > 55dB)

Ti e S aring (TS): Packet Traffic

Arbitration (PTA), Alternating

Wireless Mediu Access

(AWMA)

pair-wise, not scalable to nu ber of radios,

li ited application for proxi ity

less effective wit out support of wireless stacks, i.e. best-

effort

Overview of Coexistence Solutions


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Co ents PHY solution is not enoug :

sa rifi e trans eiver performan e (e filter redu es dynami ran e)

ost due to additional filter, and other HW

not effi ient for severe oexisten e problem

Proprietary solution does not scale:

solutions for ed to be pair-wise, vendor-specific, co ponent-specific and often

less optimal use of resour es or spe trum not s alable (with number of radios) , not future ompatible, slow TTM

example: Pa ket Traffi rbitration (PT ) widely adopted by industries

But, PT is limited: (1) radios; ( ) WiFi BT; ( ) bla k-box

Coexisten e issues between different wireless standards is addressed today as

after-t oug t, and su essfully addressin these issues requires

standardized support in t e individual standards bodies wit in a

co on fra ework.

Media Independent Coexisten e (MICE) Servi e

Coexisten e ware ir-Interfa e


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State of t e Art in IEEE Standard

1 : WP N/WL N oexisten e on GH band

1 : Coexisten e of Fixed Broadband Wireless ess Systems

1 h: Coexisten e Me hanisms for Li ense-Exempt Operation

11h: Coexisten e with military radar systems and medi al devi eson the GH band Dynami frequen y sele tion (DFS)

Transmit power ontrol (TPC)

P19 : interferen e and oexisten e analysis for NY radio systems

19: interferen e and oexisten e analysis for wireless systems

la k of standardi ed support forinfor ationservice, co ands, air-interface for multi-radio oexisten e, and often less than optimal useof resour es or spe trum!


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Media Independent Coexistence (MICE) Service

(Concept)

MICE

Protocol and Device Hardware

Applications

TCP / IP,

radio management, etc.

WLAN WPAN WWAN

Information

ServiceCoexistence Policy

Commands


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Co ponents of MICE Service Network Infor ation Service

useful for proximity, and need proto ol support

spe trum mask or PHY solution is apable to address the proximity ase

> dB isolation provided over the air

Radio Infor ation Service

time s hedule (start time, end time, TX / RX)

spe trum / ener y profile ( hannel width, entral frequen y, modulation, power)

trans eiver RF profile (re eiver blo kin , IP , et )

Co ands for Coordination

request: a radio to request for its TX / RX a tion

rant: the ontroller to rant the radio its request

deny: the ontroller to deny the request re ommend: the ontroller to re ommend allo ation

Coexistence Policy

priority, s hedule onfli t,

Goal: enabling /facilitating coexistence aware air-interface


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Exa ple: Protecting 802.11 Downlink in

t e Presence of Coexistence Interference

Reduced TXOP Value

Receiver-based TXOP

reduction

CF

End


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W at is t e benefit?

More efficient usage of wireless ediu and spectru

prevent ill- uided air-interfa e behavior

redu e frame loss

seamless intera tion amon radios

Lower cost of i ple enting coexistence solution

unified interfa e / si nalin

s ale to number of radios and number of vendors

Better user experience

support more multi-radio oexisten e usa e models

heaper / smaller devi e without sa rifi in fun tionality &

performan e


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Conclusion

Multi-radio si ultaneous operation is beco ing t e

nor , and coexistence interference is t e li iting factor

Proximity & ollo ation

Existing approac es are ineffective la k of standard support in infor ation service, co ands, air-

interface, et , and often less optimal use of resour es or spe trum

solutions for ed to be pair-wise, vendor-specific, co ponent-

specific and NOT scale with number of radios, and number of

vendors (inter-op)

Call-for-discussion


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References IEEE 19- / r IEEE 11- / r

IEEE P 1 Tutorial

M Konrad, W Ko h, and Hus hke, Coexisten e nalysis of

Bluetooth and Cellular UMTS in the - 9 MH Band, IEEEWCNC

Waltho, Performan e nalysis and Desi n Considerations for

Multi-Radio Platforms, Intel Developer Forum , Taipei

S Timiri, RF Interferen e nalysis for Collo ated Systems ,

Mi rowave ournal, an 199 Zhu, Waltho, X Yan , X Guo, Multi-Radio Coexisten e:

Challen es and Opportunities, IEEE ICCCN

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0wng Wpan Wlan Wwan Multi Radio Coexistence