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Title GPS-aided inter-microcell interference avoidance for request-transmission splitting slotted ALOHA-based scheme in smart cities with connected vehicles
ID_Doc 43106
Authors Peng, SL; Zhou, L; He, X; Du, JY
Title GPS-aided inter-microcell interference avoidance for request-transmission splitting slotted ALOHA-based scheme in smart cities with connected vehicles
Year 2020
Published
DOI 10.1016/j.future.2020.03.007
Abstract In our previous work, a request-transmission splitting slotted ALOHA-based (RTS-SA) scheme was proposed to improve access capacity of vehicles with a single infrastructure coordination. However, in a smart city with widely deployed micro base stations (mBSs) scenario, the implementation of the RTS-SA scheme suffers from some new inter-microcell interference problems. To address these problems, an enhanced RTS-SA (eRTS-SA) scheme is proposed, in which each vehicle reports both its request and location information to the mBS with the help of the global positioning system (GPS) and the mobile edge computing (MEC) in the contention access phase (CAP). To reduce the overhead, the road between two mBSs is divided into segments, and each vehicle utilizes the segment number (8 bits are good enough) to replace its location information. Aware of the locations of the detected vehicles, each mBS conducts the allocation by sorting these vehicles in ascending order in terms of the segment number and then allocates the time slots sequentially. This strategy ensures that the same time slot would be assigned to vehicles that are geographically far apart, thus minimizing the mutual interference between signals transmitted in the contention-free transmission phase (CTP). Finally, the duration of the broadcast feedback phase (BFP) is doubled and divided into two equal parts, which are assigned to two adjacent mBSs respectively to prevent interference. In the simulation, the throughput of eRTS-SA is verified to be only 4.8% lower than the theoretical maximum throughput. Compare to the RTS-SA and VeMAC schemes, eRTS-SA can also achieve about 44% and 154% throughput improvement. (C) 2020 Elsevier B.V. All rights reserved.
Author Keywords Access scheme; Global positioning system (GPS); Inter-microcell interference avoidance; Mobile edge computing (MEC); Request-transmission splitting slotted; ALOHA-based (RTS-SA) scheme; Smart city; Time slot allocation
Index Keywords Index Keywords
Document Type Other
Open Access Open Access
Source Science Citation Index Expanded (SCI-EXPANDED)
EID WOS:000528199900036
WoS Category Computer Science, Theory & Methods
Research Area Computer Science
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