Adaptive heading prediction of moving path for user-centric optimal cell selection toward 5G cooperative cellular communication

Abstract

Toward 5G, 3GPP specifies the cooperative communications in Long Term Evolution-Advanced (LTE-A Pro) to form a cooperative set of eNBs or cell sections for each UE. Clearly, for a UE near cell edge still anchoring at the original serving eNB before performing handover, the cooperative communication certainly reduces transmission delay and increases reliability. However, 5G cooperative communications suffers from some critical issues, including (1) how to dynamically form the set for a moving UE, (2) yielding high computing complexity for RAN (Radio Access Network) to compute the cooperative set for each UE, (3) when to initiate the cooperative communication, (4) increasing RB allocation cost significantly, etc. Thus, this paper proposes the UE heading Prediction Optimal Cooperative set selection approach (POC) that consists of three phases: (1) the phase of QoS-based Priority Function (QPF), (2) the phase of Adaptive UE Heading Prediction of moving path (HP), (3) the phase of Adaptive Optimal Cooperative mode determination and RB allocation (AOC). Numerical results show that the proposed approach outperforms the compared approaches in system capacity, access delay, average dropping probability, reward and net-profit. Furthermore, the computation complexity of the proposed approach is analyzed, i.e., T(n)150=O0.07233⋅n3, which is less than that of the compared approaches without any predictive heading of a moving UE, i.e., T(n)150<T(n)360=On3.