Interference Management in LTE-Advanced Cooperative Relay Networks: Decentralized Transceiver Design With Channel Estimation

Abstract

Wireless networks improve indoor communications by deploying femtocell networks into the macrocell coverage. This results in spectrum sharing with the consequences of cross-tier interference from the macrocell user equipment (MUEs) to the femtocell access points (FAPs). This work considers the uplink cross-tier interference management for the cell-edge MUEs (CUEs) in cooperative multi-user multiple input multiple output (MU-MIMO) systems. For better interference management, the CUEs are grouped into clusters and communicate to the macrocell base station (MBS) through a relay node (RN). The linear pre-coders and decoders algorithms for the FAPs, MUEs and CUEs are proposed for effective interference management to minimize the sum mean square error (MSE), subject to the total transmit power constraints. The designed pre-coders and decoders use the pilot-assisted channel estimation to improve the accuracy of the acquired channel state information (CSI). The least-square (LS) and minimum MSE (MMSE) channel estimators are considered. The performance of the system is investigated in terms of the bit error rate (BER) for the linear pre-coders and decoders algorithms with the pilot-assisted channel estimators.INDEX TERMS Channel estimation, decentralized transceiver, femtocells, long term evolution-advanced, relay node, uplink communication. FAMBIRAI TAKAWIRA (M'96) received the B.Sc. degree (Hons.

Relay-Based Clustering Method for Interference Management in Heterogeneous Wireless Cellular Network

“…A number of relay nodes are deployed on macrocells B and C, with the expectation that the presence of relay nodes can mitigate the effect of cross-tier interferences coming from Maximum number of users in a relay node 3 10. Total system bandwidth [27] 10 MHz 11.…”

“…The maximum powers that are transmitted by both FUE and MUE without relay node are set to 23 dBm both [10]. The total bandwidth for the system is set to 10 MHz [27]. All systems apply the modulation scheme of 16 Quadrature Amplitude Modulation (16 QAM).…”

“…In ref. [27], cooperative relay method was used to reduce cross-tier interference for femtocells at the cell edge area. However, in their paper, the authors added a pre-coder and decoder algorithm for FAP, MUE, and cell-edge user (CUE) to minimize the number of mean square errors (MSE).…”

“…The simulation results in [27] showed that the BER value was very minimum when the estimated value was added to the zero forcing (ZF) value. Although the application of ZF can reduce interference, but it increases noise power.…”

Interference Management with Dynamic Resource Allocation Method on Ultra-Dense Networks in Femto-Macrocellular Network

“…In this paper, we propose radio resource allocation algorithm as an interference management technique for a heterogeneous wireless cellular network consisting of macrocells and femtocells using the dynamic radio resource allocation method where femtocells are assigned the radio resources based on the lowest interference value from neighboring macrocells. In [18], it was presented an interference management technique using cooperative relay node (RN) based on channel estimation. The cooperative RN system manages cross-tier interference caused by cell-edge Macrocell User Equipment/MUEs (Cellular User Equipment/CUEs) to femtocell access points (FAPs).…”