Abstract
This paper presents an automatic modulation and coding scheme (MCS) level adaptation algorithm to embrace Internet of Things (IoT) devices by improving the area spectral efficiency of carrier-sense multiple access with collision avoidance (CSMA/CA) wireless networks. In the proposed algorithm, senders of CSMA/CA wireless networks use the signal to interference plus noise ratio of acknowledgment frames from their receivers to estimate channel statuses between the senders and the receivers. Using the estimated channel status of each receiver, senders control sending rates of traffic by adjusting MCS levels of packets destined for each receiver. We use Poisson point processes (PPPs) to model the locations of participating nodes (i.e., access points and wireless devices) in a given area. We evaluate the effectiveness of the proposed algorithm using an event-driven ns-2 simulator for various PPP densities of access points and wireless devices.
Highlights
Owing to recent advances in Internet of Things (IoT) [1] technologies, it is expected that emerging IoT-based services will enhance the quality of our daily lives significantly in many areas.Some examples are smart homes [2], smart vehicles [3], and smart safety [4]
We suggest leveraging the signal to interference plus noise ratio (SINR) of acknowledgment (ACK) frames in carrier-sense multiple access with collision avoidance (CSMA/CA) wireless networks to estimate the channel statuses between senders and receivers since most license-free wireless networks such as IEEE 802.11 and IEEE
Using the SINRs of ACK frames, we propose a novel modulation and coding scheme (MCS) level adaptation algorithm: senders adapt data sending rates by adjusting MCS levels of packets to be sent to their receivers based on the estimated channel statuses from the SINRs of ACK frames
Summary
Owing to recent advances in Internet of Things (IoT) [1] technologies, it is expected that emerging IoT-based services will enhance the quality of our daily lives significantly in many areas. It is expected that IoT devices will use various kinds of wireless networks These wireless networks can be operator-managed, wide-area wireless networks such as 3G, 4G, and 5G cellular networks [7] and can be unmanaged, license-free carrier-sense multiple access with collision avoidance (CSMA/CA) based wireless networks such as IEEE 802.11 [8] and IEEE 802.15.4 [9]. We suggest leveraging the SINRs of acknowledgment (ACK) frames in CSMA/CA wireless networks to estimate the channel statuses between senders and receivers since most license-free wireless networks such as IEEE 802.11 and IEEE. Using the SINRs of ACK frames, we propose a novel modulation and coding scheme (MCS) level adaptation algorithm: senders adapt data sending rates by adjusting MCS levels of packets to be sent to their receivers based on the estimated channel statuses from the SINRs of ACK frames.
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