Overview of Multiuser Detection

Honig, Michael L.

doi:10.1002/9780470473818.ch1

Cited by 26 publications

(50 citation statements)

References 80 publications

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“…The remaining time, T , is assigned to users, which simultaneously transmit their independent information to the BS by using the energy harvested from the first phase. In order to detect the users' signals, the BS implements a joint processing technique [22], [26], and for this purpose, it employs NOMA [24]. We assume that the energy transmitted by each user n is limited by the amount of harvested energy, i.e.…”

Section: A Harvest-then-transmit Protocolmentioning

confidence: 99%

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Wireless-Powered Communications With Non-Orthogonal Multiple Access

Diamantoulakis

Pappi

Ding

et al. 2016

IEEE Trans. Wireless Commun.

256

186

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Abstract-We study a wireless-powered uplink communication system with non-orthogonal multiple access (NOMA), consisting of one base station and multiple energy harvesting users. More specifically, we focus on the individual data rate optimization and fairness improvement and we show that the formulated problems can be optimally and efficiently solved by either linear programming or convex optimization. In the provided analysis, two types of decoding order strategies are considered, namely fixed decoding order and time-sharing. Furthermore, we propose an efficient greedy algorithm, which is suitable for the practical implementation of the time-sharing strategy. Simulation results illustrate that the proposed scheme outperforms the baseline orthogonal multiple access scheme. More specifically, it is shown that NOMA offers a considerable improvement in throughput, fairness, and energy efficiency. Also, the dependence among system throughput, minimum individual data rate, and harvested energy is revealed, as well as an interesting trade-off between rates and energy efficiency. Finally, the convergence speed of the proposed greedy algorithm is evaluated, and it is shown that the required number of iterations is linear with respect to the number of users.

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Section: A Harvest-then-transmit Protocolmentioning

confidence: 99%

“…In contrast to the case of fixed decoding order, where the users' messages are decoded in an increasing order of their indices, the order of decoding depends on time-sharing [26]. Next, we propose a simple configuration to realize the time-sharing technique.…”

Section: Achievable User Throughput In the Case Of Time-sharingmentioning

confidence: 99%

Wireless-Powered Communications With Non-Orthogonal Multiple Access

Diamantoulakis

Pappi

Ding

et al. 2016

IEEE Trans. Wireless Commun.

256

186

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“…Finally, Doppler shift differences fBD-fAD and fCD-fAD can be calculated by subtracting (7), (8) from (9), (10). These frequency differences should be converted to differences in velocity components in directions from receiver to base stations: vB-vA and vC-vA (Fig.…”

Section: Concept Of Velocity Measurement Using the Fdoa Methodsmentioning

confidence: 99%

Velocity Measurement using the Fdoa Method in Ground-Based Radio Navigation System

Sadowski¹

2014

Metrology and Measurement Systems

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Velocity is one of the main navigation parameters of moving objects. However some systems of position estimation using radio wave measurements cannot provide velocity data due to limitation of their performance. In this paper a velocity measurement method for the DS-CDMA radio navigation system is proposed, which does not require full synchronization of reference stations carrier frequencies. The article presents basics of FDOA (frequency difference of arrival) velocity measurements together with application of this method to an experimental radio navigation system called AEGIR and with some suggestions about the possibility to implement such FDOA measurements in other kinds of asynchronous DS-CDMA radio networks. The main part of this paper present results of performance evaluation of the proposed method, based on laboratory measurements.

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“…Linear multiuser techniques have been widely analyzed in the literature [11,12]. On MIMO channels, the use of low complexity receivers that improve the performance of the conventional scheme (that treats interference as white Gaussian noise) is of fundamental importance [13,14].…”

Section: Introductionmentioning

confidence: 99%

“…In particular, the adaptive blind receiver (ABR) [15], a blind adaptive version of the minimum-mean-squareerror (MMSE) detector, is specially attractive for the downlink MIMO system since, in a dynamic environment, it is very difficult for a mobile user to obtain accurate information on other active users in the channel, such as their spreading code [15]. It is well known that the ABR is based on the minimum output energy (MOE) criterion which searches the component of the desired signal that lies in a subspace orthogonal to the subspace spanned by the interference and noise simultaneously [12]. With this in mind, a careful selection of co-scheduled users that lie in orthogonal subspaces can reduce the interference level and improve the spectral efficiency by enabling spreading code reuse.…”

Section: Introductionmentioning

confidence: 99%

Scheduling schemes with adaptive blind detection for code reuse in multiuser MIMO systems

Mendoza

Corral-Briones

2013

EURASIP J. Adv. Signal Process.

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To improve spectrum efficiency in wireless multiple-input, multiple-output (MIMO) systems, it is essential to mitigate channel interference. Opportunistic scheduling of multiusers and interference cancellation, such as adaptive multiuser detection, are two commonly used techniques. In this paper, we study the performance improvement of using jointly these techniques to enable the use of the same set of spreading codes to transmit two data streams in closed-loop multiuser MIMO systems. We show that with the proposed scheduling schemes, the performance of an adaptive blind receiver is not degraded when the scheduled users share the same spreading code.

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Overview of Multiuser Detection

Cited by 26 publications

References 80 publications

Wireless-Powered Communications With Non-Orthogonal Multiple Access

Wireless-Powered Communications With Non-Orthogonal Multiple Access

Velocity Measurement using the Fdoa Method in Ground-Based Radio Navigation System

Scheduling schemes with adaptive blind detection for code reuse in multiuser MIMO systems

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