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Harmonious Coexistence between Aloha and CSMA: Novel Dual-channel Modeling and Throughput Optimization

Wenhai Lin, Xinghua Sun, Anshan Yuan, Yayu Gao

TL;DR

A novel dual-channel analytical framework is developed that represents Aloha and CSMA nodes as operating on two separate logical channels to decouple their interactions and is applied to enhance the network throughput and fairness of the cohabitation of LTE Unlicensed and WiFi networks.

Abstract

The scarcity of the licensed spectrum is forcing emerging Internet of Things (IoT) networks to operate within the unlicensed spectrum. Yet there has been extensive observation indicating that performance deterioration and significant unfairness would arise, when newly deployed Aloha-based networks coexist with incumbent Carrier Sense Multiple Access (CSMA)-based WiFi networks, especially without proper adjustment of packet transmission times. Therefore, ensuring harmonious cohabitation between Aloha and CSMA networks is of paramount importance. How to properly tune system parameters to guarantee harmonious coexistence between these two networks, nevertheless, remains largely unexplored. To address the above open issue, this paper proposed a novel dual-channel analytical framework to characterize the throughput performance of the cohabitation between slotted Aloha and CSMA networks. To achieve harmonious coexistence, the total throughput of the coexisting network under a given desired throughput proportion is optimized by tuning the packet transmission time of CSMA nodes and transmission probabilities. The optimization results indicate that the packet transmission time of CSMA nodes should be set slightly less than that of Aloha nodes. The proposed framework is further applied to enhance the network throughput and fairness of the cohabitation of LTE Unlicensed and WiFi networks.

Harmonious Coexistence between Aloha and CSMA: Novel Dual-channel Modeling and Throughput Optimization

TL;DR

A novel dual-channel analytical framework is developed that represents Aloha and CSMA nodes as operating on two separate logical channels to decouple their interactions and is applied to enhance the network throughput and fairness of the cohabitation of LTE Unlicensed and WiFi networks.

Abstract

The scarcity of the licensed spectrum is forcing emerging Internet of Things (IoT) networks to operate within the unlicensed spectrum. Yet there has been extensive observation indicating that performance deterioration and significant unfairness would arise, when newly deployed Aloha-based networks coexist with incumbent Carrier Sense Multiple Access (CSMA)-based WiFi networks, especially without proper adjustment of packet transmission times. Therefore, ensuring harmonious cohabitation between Aloha and CSMA networks is of paramount importance. How to properly tune system parameters to guarantee harmonious coexistence between these two networks, nevertheless, remains largely unexplored. To address the above open issue, this paper proposed a novel dual-channel analytical framework to characterize the throughput performance of the cohabitation between slotted Aloha and CSMA networks. To achieve harmonious coexistence, the total throughput of the coexisting network under a given desired throughput proportion is optimized by tuning the packet transmission time of CSMA nodes and transmission probabilities. The optimization results indicate that the packet transmission time of CSMA nodes should be set slightly less than that of Aloha nodes. The proposed framework is further applied to enhance the network throughput and fairness of the cohabitation of LTE Unlicensed and WiFi networks.

Paper Structure

This paper contains 23 sections, 44 equations, 15 figures, 1 table.

Figures (15)

  • Figure 1: Illustration of node contention. A detailed explanation of this figure is provided in Section \ref{['sect:2']}.
  • Figure 2: Graphic illustration of the Aloha networks coexisting with CSMA networks in the same spectrum.
  • Figure 3: Illustration of the Aloha Channel and the CSMA Channel.
  • Figure 4: Illustration of definition and calculation of $D_j$.
  • Figure 5: Illustration of function of $D_j$. $l_C=2$, $a=0.25$.
  • ...and 10 more figures