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Compressive Sensing (CS) enables us to exactly reconstruct a signal from a small number of observations if it has a sparse representation in a known basis. But in the situation where the sparsity is not strictly satisfied as the signal contains Gaussian noise, the general practice tries to directly recover the noisy signal, and then filters out the noise from the recovered signal. Because the existence...
The combined bulk/per-tone transmit antenna selection strategy has been shown to achieve optimal diversity and coding gains for single-hop systems with multiple transmit and receive antennas. In this paper, we extend this strategy to the case in which a set of user pairs communicate via a cluster of intermediary amplify-and-forward relaying nodes. We obtain an upper bound on the outage probability...
In this paper we consider strategies for MIMO interference channels which combine the notions of interference alignment and channel pre-inversion. Users collaborate to form data-sharing groups, enabling them to clear interference within a group, while interference alignment is employed to clear interference between groups. To improve the capacity of our schemes at finite SNR, we propose that the groups...
Cooperative relaying is an enhancing technique for Device-to-Device (D2D) communications, which can significantly expend the communication distance and increase the capacity of D2D links. However, it is challenging to balance the probing time for selecting the optimal relay node and the effective transmission time, both of which will affect the overall throughput of D2D transmissions. In this work,...
We consider overloaded (non-orthogonal) code division multiple access multiuser wireless communication systems with many transmitting users and one central aggregation node, a typical scenario in e.g. machine-to-machine communications. The task of the central node is to detect the set of active devices and separate their data streams, whose number at any time instance is relatively small compared...
This paper investigates the optimal number of collaborating secondary users which can minimize the total error rate (i.e., the summation of probabilities of missed detection and false alarm) for cooperative spectrum sensing when the secondary users follow Poisson point process (PPP). The received signal-to-noise ratios (SNRs) at secondary users can vary since the practical locations and the amount...
We study distributed interference networks in which the transmitting-receiving pairs (or users) can communicate over several orthogonal channels. The network is said to be decisionwise distributed because each transmitter is assumed to choose the way it spreads its power over the available channels to maximize its individual rate. The main contribution of this paper is to prove that, depending on...
We consider a 5G small cell model where the cells are deployed in a way to cover users in the neighbor cells in order to introduce cell active-sleep control, so-called inter-cell power management (IPM). Using a Markov decision process (MDP), one can obtain an optimal policy for IPM, but with limited scalability. This paper proposes a modular IPM strategy which is a suboptimal policy to group only...
This work demonstrates the distributed joint selfoptimization of power and decoding order, to alleviate uplink intercell interference in a heterogeneous network, with signal to interference ratio constraints. This problem can be formulated as a potential game of coupled action space among the basestations. However, best response dynamics of this game require global channel knowledge at all cells....
We put forward a joint optimization algorithm for relay selection and source & relay power allocations under line-of-sight (LoS) and non-LoS mixed conditions for both power saving and robustness enhancement in practical cooperative multicast millimeter-wave (mmWave) wireless personal area networks (WPANs). Firstly, a novel beam training protocol capable of overhearing is devised to filter relay...
In future 5G mobile networks, radio access network functions will be virtualized and implemented on centralized cloud platforms. In principle, this allows for more advanced algorithms of joint processing and offers the ability to balance the computational load. However, the shift of functionality on a cloud-platform also imposes challenges on the design of the applied algorithms. In this paper, we...
In this paper, we propose an energy efficient cross-layer design framework for transmitting Markov modulated Poisson process (MMPP) traffic over Nakagami-m fading channel with delay demands. The adaptive modulation and coding (AMC) is used at physical layer. We first investigate the stationary distribution of this system. With the stationary distribution and the AMC transmission mode, we derive the...
Cloud radio networks employ coordinated transmission among base stations (BSs) to reduce the interference effects. The practical limitations in implementing coordination results in suboptimal systems with limited performance. In this paper, we analyze the performance of a cloud network with clustering, where geographically close BSs form a clustered cloud. Coverage probability and rate distributions...
The realtime identification of missing items, e.g., valuables or confidential documents in shops and warehouses, is one of the most important system. Although many RFID-based schemes that quickly identify missing tag-attached items are proposed, most of the schemes overlooks the possibility of the internal crime. If a person controls an untrusted reader, he/she can freely forge responses from tags...
ALOHA-type protocols became a popular solution for distributed and uncoordinated multiple random access in wireless networks. However, such distributed operation of the Medium Access Control (MAC) layer leads to sub-optimal utilization of the shared channel. One of the reasons is the occurrence of collisions when more than one packet is transmitted at the same time. These packets cannot be decoded...
Wireless energy harvesting (WEH) provides an exciting way to supply energy for relay nodes to forward information for the source-destination pairs. In this paper, we investigate the problem on how the relay node dynamically adjusts the power splitting ratio of information transmission (IT) and energy harvesting (EH) in order to achieve the optimal outage performance. According to the knowledge of...
One of the major enabler for future wireless communication technologies is spectrum sharing, allowing to effectively share spectrum portions among different services. Even if much more considered in wireless terrestrial communications, spectrum sharing is increasing importance also in satellite communications where the spectrum scarcity issue is arising; cognitive techniques are a promising tool to...
In this paper, we consider the problem of resource allocation in the context of cognitive Satellite Communications (SatCom). In particular, we focus on the cognitive downlink access by Geostationary (GEO) Fixed Satellite Service (FSS) terminals in the band 17.7–19.7 GHz, where the incumbent users are Fixed-Service (FS) microwave links. Assuming a multiple Low Noise Block Converter (LNB) satellite...
In order to realize improving signal detection probability using interference canceler and multi-system detection techniques in spectrum sharing environment in cognitive radio of satellite and terrestrial system, it is required to classify the digital modulation type in an environment without handshaking between the transmitter and receiver. The previous methods can hardly classify modulation type...
In this paper we examine a number of deployment issues which arise from practical considerations in massive multiple-input-multiple-output (MIMO) systems. We show both spatial correlation and line-of-sight (LOS) introduce an interference component to the system which causes non-orthogonality between user channels. Distributing the antennas into multiple clusters is shown to reduce spatial correlation...
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