| 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 | |
| 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. |
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