MOMA: a novel multiple access technique accomodating differentiated sevices for 5g systems

Transcription

1 MOMA: a novel multiple access technique accomodating differentiated sevices for 5g systems Stefano TOMASIN Joint Work with M. Debbah and N. Ksairi

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 Page 2

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 services in 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 Page 3

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 Page 4

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 Page 5

6 MOMA Principle MOMA principle (L classes) Broadband users More overloading Code-domain orthogonality Lowest-target-rate users Page 6

7 MOMA Principle Page 7

8 MOMA Principle Page 8

9 MIMO MOMA Multi-antenna BS: Effect on 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. 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 Page 9

10 MIMO MOMA Page 10

11 Performance of MIMO MOMA Page 11

12 Performance of MIMO MOMA Multiplexing capability of LD users Page 12

13 Performance of MIMO MOMA Page 13

14 MOMA on Massive MIMO Channel hardening Page 14

15 MOMA on Massive MIMO Effect on intra-hd-class and inter-class orthogonality? Page 15

16 Performance of MOMA on Massive MIMO Page 16

17 Performance of MOMA on Massive MIMO Multiplexing capability of LD users Page 17

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 Page 18

19 MOMA for LTE Evolution MOMA implementation on a narrow bandwidth Page 19

20 Symbol Mapping for MOMA MOMA implementation on a narrow bandwidth Page 20

21 MOMA Performance on the LTE-M Bandwidth Bundling-off performance Page 21

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 Page 22