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Virtual Multiple-Input Multiple-Output (MIMO) is a promising uplink technology that can meet the throughput demand of Long-Term Evolution-Advanced (LTE-A) systems. However, the complexity of scheduling virtual MIMO is a challenge; existing virtual MIMO is therefore limited to best effort applications. We investigate the resource allocation and scheduling problem in a heterogeneous virtual MIMO system...
In future fourth generation wireless networks OFDM and MIMO techniques will be heavily exploited to provide connectivity to heterogeneous users offering different data traffic types. This paper proposes a low complexity resource allocation strategy for MIMO-OFDMA (Multiple-Input Multiple-Output Orthogonal Frequency Division Multiple Access) broadcast channel to support delay-sensitive traffic with...
In this letter, we extend the study from our previous work in. First, we extend physical layer resource allocation problem to a packet based transmission scheme. The proposed packet assignment improves the implementation robustness as it allows for consideration of coded modulation schemes while still ensuring energy efficient transmission as with our previous work. Secondly, we study the impact of...
This paper presents a quantitative performance analysis of the dual-cell high-speed downlink packet access (DC-HSDPA) operation focused on the gain achieved by pooling the radio resources of two carriers in the same base station and enabling a collaborative operation (joint-scheduling) on the lower radio layers.
In this paper, we consider a new channel probing scheme for opportunistic scheduling in the uplink of orthogonal frequency division multiplexing (OFDM)-based wireless systems. To reduce signaling overhead for the probing, we consider a two-step channel probing process; called pre-probing and mainprobing. Good subchannels are first estimated through the pre-probing process using a probing signal transmitted...
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