moma: a novel multiple access technique accomodating...

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HUAWEI TECHNOLOGIES CO., LTD. www.huawei.com Stefano TOMASIN Joint Work with M. Debbah and N. Ksairi MOMA: a novel multiple access technique accomodating differentiated sevices for 5g systems

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HUAWEI TECHNOLOGIES CO., LTD.

www.huawei.com

Stefano TOMASIN Joint Work with M. Debbah and N. Ksairi

MOMA: a novel multiple access technique

accomodating differentiated sevices for 5g systems

HUAWEI TECHNOLOGIES CO., LTD. Page 2

Background

Objective: Support for Internet-of-Things (IoT) in next-generation

networks Wearable electronics, smart meters, sensors … Need for radio access enabling massive

machine-to-machine (M2M) connections

Existing solutions: LoRa: Narrow band (NB) FDMA + chirp spread spectrum

SIGFOX: Ultra NB (UNB) FDMA Both on unlicensed frequencies new network and hardware deployment

LTE-M

M2M devices differ from handheld devices and among

themselves in Device constraints Traffic patterns and quality-of-service (QoS) requirements

HUAWEI TECHNOLOGIES CO., LTD. Page 3

Motivation for MOMA

Lack of support for multi-class devices/services: Beyond low-energy, low-data-rate devices There will be multiple classes of IoT servicesin addition to the mobile-broadband/IoT divide

Inefficiency in resource utilization Orthogonal MA available BW in NB cellular IoT solutions is

underused Limited resource management flexibility

Only 1 parameter to control broadband/IoT resource planning (the BW)

This parameter is fixed in advance in most existing solutions

HUAWEI TECHNOLOGIES CO., LTD. Page 4

Multi-Service Oriented Multiple Access (MOMA) MOMA: integrating both traditional broadband

users and massive machine-to-machine (M2M)

connections by establishing separate classes of users and/or services Class dependent hierarchical spreading of the data

signal a mix of multiuser and single-user detection at the BS

HUAWEI TECHNOLOGIES CO., LTD. Page 5

Multi-Service Oriented Multiple Access (MOMA) What we mean by a class of devices/services:

Class: A group of users with the same QoS profile and user density

User: a device or a specific service running on a device Example: a smart watch monitoring health and a social

texting app running on a smartphone could in principle belong to the same class

Example of a system with classes A class requiring a data rate as high as possible for a

relatively small number of users classes of decreasing target rates each requiring to

accommodate as many users as possible

HUAWEI TECHNOLOGIES CO., LTD. Page 6

MOMA Principle

MOMA principle (L classes)

Lowest-target-rate users

Broadband users

More overloading

Code-domainorthogonality

HUAWEI TECHNOLOGIES CO., LTD. Page 7

MOMA Principle

 

HUAWEI TECHNOLOGIES CO., LTD. Page 8

MOMA Principle

 

HUAWEI TECHNOLOGIES CO., LTD. Page 9

MIMO MOMA

“For any fixed number of antennas, the limiting performance of the -spread system with the MMSE receiver as →∞ with → is the same as that for a system with a single antenna, having processing gain and with the received power of each user the sum of the received powers at the individual antennas.”

Multi-antenna BS: Effect on MOMA?

S. V. Hanly and D. Tse, “Resource Pooling and Effective Bandwidths in CDMA Networks with Multiuser Receivers and Spatial Diversity,” IEEE Trans. Inf. Theory,

2001

 

HUAWEI TECHNOLOGIES CO., LTD. Page 10

MIMO MOMA

 

HUAWEI TECHNOLOGIES CO., LTD. Page 11

Performance of MIMO MOMA

 

HUAWEI TECHNOLOGIES CO., LTD. Page 12

Performance of MIMO MOMA

Multiplexing capability of LD users

HUAWEI TECHNOLOGIES CO., LTD. Page 13

Performance of MIMO MOMA

 

HUAWEI TECHNOLOGIES CO., LTD. Page 14

MOMA on Massive MIMO

Channel hardening

HUAWEI TECHNOLOGIES CO., LTD. Page 15

MOMA on Massive MIMO

Effect on intra-HD-class and inter-class orthogonality?

 

 

HUAWEI TECHNOLOGIES CO., LTD. Page 16

Performance of MOMA on Massive MIMO

 

HUAWEI TECHNOLOGIES CO., LTD. Page 17

Performance of MOMA on Massive MIMO

Multiplexing capability of LD users

HUAWEI TECHNOLOGIES CO., LTD. Page 18

Performance of MOMA on Massive MIMO

Almost perfect inter-class and intra-HD-class orthogonality: Even with

single-user detection

Less dependence on the channel time-frequency variation profile

HUAWEI TECHNOLOGIES CO., LTD. Page 19

MOMA for LTE Evolution

MOMA implementation on a narrow bandwidth

HUAWEI TECHNOLOGIES CO., LTD. Page 20

Symbol Mapping for MOMA

MOMA implementation on a narrow bandwidth

HUAWEI TECHNOLOGIES CO., LTD. Page 21

MOMA Performance on the LTE-M Bandwidth Bundling-off performance

HUAWEI TECHNOLOGIES CO., LTD. Page 22

Conclusions

MOMA allows a flexible trade-off between rate and availability

MOMA fits well with MIMO

MOMA can be applied as an extension of LTE systems