PROJECT TITLE :

Contract-Based Interference Coordination in Heterogeneous Cloud Radio Access Networks

ABSTRACT:

Heterogeneous cloud radio access networks (H-CRANs) are potential solutions for improving both spectral and energy efficiencies by embedding cloud computing into heterogeneous networks. The interference among remote radio heads (RRHs) will be suppressed with centralized cooperative processing in the base band unit (BBU) pool, whereas the inter-tier interference between RRHs and macro base stations (MBSs) continues to be challenging in H-CRANs. During this paper, to mitigate this inter-tier interference, a contract-based interference coordination framework is proposed, in that 3 scheduling schemes are involved, and therefore the downlink transmission interval is divided into 3 phases accordingly. The core plan of the proposed framework is that the BBU pool covering all RRHs is selected because the principal that would supply a contract to the MBS, and therefore the MBS as the agent decides whether to just accept the contract or not in keeping with a private rational constraint. An optimal contract style that maximizes the rate-primarily based utility springs when good channel state data (CSI) is acquired at both principal and agent. Furthermore, contract optimization underneath the situation in which only partial CSI can be obtained from sensible channel estimation is addressed in addition. Monte Carlo simulations are provided to verify the analysis, and simulation results show that the proposed framework can considerably increase the transmission information rates over baselines, thus demonstrating the effectiveness of the proposed contract-based answer.