# A Reinforcement Learning Based Intercell Interference Coordination in LTE Networks
## 2 Related Work
In [27], a joint resource block and transmit power allocation scheme in LTE downlink networks is proposed. Resource blocks are allocated to users based on their priority measured by interference level, quality of service and delay. The transmit power of enodeBs are then dynamically controlled using fuzzy logic system, considering messages exchanged between enodeBs over X2 interface. The proposed scheme has been compared to reuse factor one (RF1) SFR. In [28], a dynamic ICIC technique that uses dynamic resource allocation is proposed with no cooperation between base stations. Evaluation of the technique with a MATLAB(r)-based LTE downlink level simulator shows throughput fairness improvement compared to the reuse-1, FFR and SFR models. In [29], role game theory is applied to uplink power control and ICIC for LTE where users are defined as having different roles within a cell of the LTE network. In [30], a genetic algorithm (GA) approach is proposed to optimize the resource block allocation in a multi-cell network. The aim of the approach is to minimize intercell interference by maximizing channel capacity in the resource allocation process. The cells are grouped in independent clusters and the resource allocation optimization is done cell by cell within a cluster. The authors exploited information exchanged over the X2 interface between cells within a cluster. The article shows the efficiency of the methods. Simulation results show that the interference of most users is decreased by 3 dB and the average throughput per cluster is increased by 21 Mbps according to the universal frequency reuse in a few iterations. In [31], a GA-based self-organized downlink resource allocation in a multi-cell LTE-Advanced Network is proposed. The aim of the optimization method is to mitigate the intercell interference by maximizing the throughput. The proposed algorithm is compared with the random allocation. A MATLAB(r) simulation program is used. The article shows that the proposed algorithm outperforms in terms of average user throughput and system fairness. Listed related works use bandwidth partitioning, which distinguishes users based on their position relative to enodeB within a cell. Users are divided into cell edge users and cell center users. Portions of a bandwidth are reserved for users in coordination with neighboring cells. Basic ICICschemes failed to consider real time services as they do not consider packet loss ratio as a property but rather focus on throughput maximization Besides, packet retransmission is not considered in the proposed schemes and most of them consider one step ICIC scheme like resource allocation or power allocation. In this study, we propose a new ICIC scheme that does not partition bandwidth. The whole bandwidth is shared among users regardless for their position relative to the enodeB within serving cell making resource allocation an optimization problem. Resource allocation optimization problem is handled with the objective of minimizing intercell interference among neighboring cells. The proposed ICIC scheme, which is a joint resource allocation and power control optimization, is intended for real time services and consider packet retransmission.