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This paper addresses the robust beamforming design for a downlink cloud radio access network (cloud RAN) subject to per-base-station (BS) power constraint and individual signal-to-interference-plus-noise ratio (SINR) requirements. Our objective is to minimize the overall network power and backhaul cost while guaranteeing the users' SINR constraints for every channel realization by designing the joint...
In this paper, a novel pilot extension scheme is proposed for massive MIMO uplink transmission, and its performance is evaluated analytically. Specifically, we divide the cell users into two groups, namely near users and far users, according to their distances to the service base stations. The far users are more motivated to mitigate the inter-cell interference than the near users at the price of...
It has been widely recognized that relaying is an important method for increasing the reliability and spectral efficiency of communications systems, and it is thus helpful for improving the performance of vehicle-to-vehicle (V2V) communication systems. However, designing and evaluating V2V relay networks require understanding the effect of shadowing, as this critically impacts the performance of the...
Underlaying device-to-device (D2D) communications to a cellular network is considered as a key technique to improve spectral efficiency in 5G networks. For such D2D systems, mode selection and resource allocation have been widely utilized for managing interference. However, previous works allowed at most one D2D link to access the same channel, while mode selection and resource allocation are typically...
A novel data-assisted channel estimation scheme is proposed for uplink massive multiple-input multiple-output (MIMO) systems to alleviate the performance bottleneck due to pilot contamination. Specifically, the uplink resource within a fading block is first divided into a number of data blocks, which are encoded respectively; then the detected data blocks are utilized iteratively to refine the channel...
Random spatial network models have been recently utilized in the performance analysis and system design for multi-cell networks. Such an approach has been mainly adopted to investigate the outage based system performance, such as the outage probability and outage throughput. However, these performance metrics are defined with a fixed-rate transmission, and cannot characterize the performance of data...
We consider a full-duplex bi-directional communication system between two nodes that suffer from self-interference, where the nodes are equipped with multiple antennas and instantaneous channel state information (CSI) at the nodes is imperfect. We focus on the effect of the residual self-interference due to channel estimation errors and limited dynamic ranges of the transmitters and receivers. We...
In a typical cognitive radio network (CRN), secondary users can only access the channel when they do not harmfully interfere with the primary users. Therefore, an accurate estimation or prediction of interference from secondary users to primary users is essential. In this paper, we tackle the problem of interference estimation in a channel in presence of one PU and multiple SUs. We solve this problem...
We investigate the linear precoding designs for multiuser two-way relay system (MU-TWRS) where a multi-antenna base-station (BS) communicates with multiple single-antenna mobile stations (MSs) via a multi-antenna relay station (RS). The amplify- and-forward (AF) relay protocol is employed. The design goal is to optimize the precodings at BS, RS or both so as to minimize the total mean-square error...
Interference can be aligned in either vector space (MIMO) or signal scale (lattice). Existing literatures on interference alignment treat these two approaches separately. In this paper, a unified design framework of interference suppression is proposed for interference channel, where both vector alignment and lattice alignment are considered jointly. The framework could adapt the interference alignment...
Traditional equalization algorithms for multiple input multiple output (MIMO) systems suffer from high complexity and low convergence rate. So it's necessary to develop an equalization algorithm to minimize the computational complexity and improve the convergence rate. This paper presents a new adaptive reduced-rank linear equalization algorithm, called rectangle unitary multistage Wiener filter reduced-rank...
In most of the existing works on cognitive radio (CR) systems, the spectrum sensing and the cross-layer scheduling are designed separately, where the cross-layer scheduling is performed based on the hard sensing information (HSI) generated from the sensing modular. In this paper, we shall propose a joint cross-layer and sensing design and study its performance advantages over the aforementioned traditional...
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