Similarly, when an MUE notices that its QoS requirement is violated, i.
With the interference information, ARLSA tries to satisfy QoS constraints of the FUE, MUE, and FBS.
Our objective in this paper is to maximize the network-wide user throughput while satisfying the signal to interference plus noise ratio (SINR) constraints of neighboring MUEs, FBSs and FUEs by controlling the FBS's access mode and transmission power.
It is assumed that an FUE does not cause interference with the MBS for uplink when it transmits at low power, while the MUEs interfere with the FBSs.
ii) FBS Feedback based Detection Method (FDM): Although the channel is assumed to be reciprocal, the interference levels of the uplink and downlink are different due to the various positions of the MUEs.
3) Identification: The MBS checks the FBS report from all of the MUEs.
To research power control of FBSs, three factors need to be considered: (i) as the FBS transmit power is low and wall penetration loss exists, the downlink interference to femtocells and the MUE is mainly from neighboring FBSs using the same slot; (ii) due to the random and high-density deployment of femtocells, distributed power control scheme is preferred; (iii) taking into account the processing capability of the FBSs, the scheme should not involve complex calculations.
b) Obtain the neighboring MUE: If the MUE receives the femtocell's pilot signal power over a certain threshold, the FBS will be classified as interfering FBS and added to the neighboring list of the MUE.
The goal of this initialization ensures that the SINR of the MUE is larger than a predefined threshold [[GAMMA].
i0] are the received power of the MUE, the transmit power of FBS i in the neighboring list of the MUE and the path loss between the MUE and FBS i, respectively.
The MUE reports the power level information to all FBSs in the same cluster.
In our modeling framework, user i (i>0) represents the user of FBS i (for one user/cell/channel/slot according to Assumption 2) and i=0 represents the MUE.