Massive machine type communications (mMTC) is a service category in 5G to support Internet of Things (IoT). Typically, mMTC-based services require small volume of information. Since the current data transmission principle requires long codeblock to maximize the coding gain and hence is not adequate for short packet transmission, multiplexing mechanism to support short packet transmission in mMTC is required. In this paper, we propose a new type of uplink data transmission scheme suitable for the mMTC, called sparse vector coding (SVC). Key idea behind the proposed technique is to transmit the information after the sparse transformation. By mapping the information into the sparse vector and then transmitting it after the random non-orthogonal spreading, we cast the symbol detection problem into the sparse signal recovery problem in compressed sensing. We show from the simulations in the LTE uplink scenario and massive access scenario in 5G that the proposed SVC scheme outperforms conventional approaches and is very effective in short packet transmissions.
|Title of host publication||2018 24th Asia-Pacific Conference on Communications, APCC 2018|
|Publisher||Institute of Electrical and Electronics Engineers Inc.|
|Number of pages||4|
|Publication status||Published - 2018 Jul 2|
|Event||24th Asia-Pacific Conference on Communications, APCC 2018 - Ningbo, China|
Duration: 2018 Nov 12 → 2018 Nov 14
|Name||2018 24th Asia-Pacific Conference on Communications, APCC 2018|
|Conference||24th Asia-Pacific Conference on Communications, APCC 2018|
|Period||18/11/12 → 18/11/14|
Bibliographical noteFunding Information:
This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korean government(MSIP)(2014R1A5A1011478).
© 2018 IEEE.
- Ultra short packet
- machine type communications
- sparse vector coding
ASJC Scopus subject areas
- Computer Networks and Communications
- Signal Processing