Resource Allocation Strategy for Latency Sensitive IoT Traffic
draft-hongcs-t2trg-ras-00
| Document | Type |
Expired Internet-Draft
(individual)
Expired & archived
|
|
|---|---|---|---|
| Authors | Choong Seon Hong , Shashi Raj Pandey , Yan Kyaw Tun , Sabah Suhail , Kitae Kim | ||
| Last updated | 2021-04-16 (Latest revision 2020-10-13) | ||
| RFC stream | (None) | ||
| Intended RFC status | (None) | ||
| Formats | |||
| Stream | Stream state | (No stream defined) | |
| Consensus boilerplate | Unknown | ||
| RFC Editor Note | (None) | ||
| IESG | IESG state | Expired | |
| Telechat date | (None) | ||
| Responsible AD | (None) | ||
| Send notices to | (None) |
This Internet-Draft is no longer active. A copy of the expired Internet-Draft is available in these formats:
Abstract
An efficient resource allocation scheme directly affects the overall system's network utilization, and notably, the wireless resource such as bandwidth is itself an expensive commodity. In this regards, to address the requirement of massively increased IoT traffic at the edge, as a solution approach, a number of small cell base stations (SBSs) have been deployed with certain computational capabilities. However, it is still limited, and any inappropriate resource allocation scheme for the associated nodes with traffic characterized by ultra-reliability and low-latency (URLLC) requirements can impact the system's resource utilization and performance. Considering a reserve resource for such kind of traffic, the resource allocation problem in each time slot behaves as a node selection problem with contention amongst active nodes for the resource. In this paper, we have formulated this as an index problem, and with simulation results have shown that the cumulative reward in terms of network utility is maximized following this approach.
Authors
Choong Seon Hong
Shashi Raj Pandey
Yan Kyaw Tun
Sabah Suhail
Kitae Kim
(Note: The e-mail addresses provided for the authors of this Internet-Draft may no longer be valid.)