Slot Jamming Effect and Mitigation Between LTE-LAA and WLAN Systems With Heterogenous Slot Durations
| Autor: | Daniel G. Kuester, Jason B. Coder, Yao Ma, William F. Young |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2019 |
| Předmět: |
business.industry
Computer science ComputerSystemsOrganization_COMPUTER-COMMUNICATIONNETWORKS Local area network 020206 networking & telecommunications 020302 automobile design & engineering Jamming Throughput 02 engineering and technology Spectrum management Article 0203 mechanical engineering Wireless lan 0202 electrical engineering electronic engineering information engineering Wireless Performance indicator Electrical and Electronic Engineering business Carrier sense multiple access with collision avoidance Communication channel Computer network |
| Popis: | To improve spectrum sharing between long-term evolution license-assisted access (LAA) and incumbent systems such as wireless local area networks (WLANs) in unlicensed spectrum, listen before talk (LBT) has been proposed as a candidate for LAA channel access. To allow for a robust spectrum sensing performance, LBT may use a backoff-slot duration that is substantially larger than its WLAN counterpart. There is a potential for an unknown backoff slot-jamming (SJ) effect, which may significantly decrease the channel access probability (CAP) and throughput of LAA-LBT links. In this paper, we study the SJ effect and propose an effective anti-SJ (ASJ) LBT scheme. To gain theoretical insight, we develop a new performance analysis approach on coexisting systems with different slot durations. We model the LAA backoff process with super-counters, provide an in-depth analysis of the backoff process, and derive key performance indicator (KPI) statistics. These KPIs include backoff hold time, successful transmission probability, CAP, and throughput. The simulation results thoroughly validate our analytical results and show that the ASJ-LBT scheme is effective in mitigating the SJ effect. These results fill a major technical gap in spectrum sharing research and may be extended to support system optimization and coexistence analysis of other heterogeneous systems. |
| Databáze: | OpenAIRE |
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