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.
Highlights
Femtocell networks are deployed into macrocell networks to improve the indoor coverage and provide high data rates to end users while reducing their load
DECENTRALIZED ALGORITHMS FOR LINEAR TRANSCEIVER DESIGNS the decentralized transceiver optimization algorithms for the femtocell access points (FAPs), MUEs and cell-edge MUEs (CUEs) are designed with the coordinated minimum MSE (MMSE) approach during the first and second time slots
In this paper, optimal transceivers for the FUEs, MUEs, CUEs and relay node (RN) with channel estimators in the multi-user multiple input multiple output (MU-MIMO) relay systems have been designed for interference management
Summary
Femtocell networks are deployed into macrocell networks to improve the indoor coverage and provide high data rates to end users while reducing their load. The MU-MIMO relay networks are heterogeneous featuring FAP, RN and MBS networks with their respective users, the half-duplex communication network with the CUEs, RNs, FUEs, MUEs in multi-slot transmission For such a distributed network, a centralized or joint pre-coder and decoder design is not appropriate or feasible. B. MAIN CONTRIBUTIONS In this paper, we present a cooperative relay interference management technique where decentralized algorithms for linear pre-coders and decoders design based on pilot-assisted channel estimation are employed. We divide the optimization problem into sub-optimal problems where we consider four different transceiver designs, the FUEs, MUEs, CUEs and RNs. decentralized approach is considered in the design of pre-coders and decoders at the FAPs and MBS during the first and second time slots. DECENTRALIZED ALGORITHMS FOR LINEAR TRANSCEIVER DESIGNS the decentralized transceiver optimization algorithms for the FAPs, MUEs and CUEs are designed with the coordinated MMSE approach during the first and second time slots
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