Unified Analysis of Multiuser Scheduling for Downlink MIMO Systems with Imperfect CSI

A multiuser scheduling multiple-input multipleoutput (MIMO) cognitive radio network (CRN) with space-time block coding (STBC) is considered in this paper, where one secondary base station (BS) communicates with one secondary user (SU) selected from K candidates. The joint impact of imperfect channel state information (CSI) in BS → SUs and BS → PU due to channel estimation errors and feedback delay on the outage performance is firstly investigated. We obtain the exact outage probability expressions for the considered network under the peak interference power IP at PU and maximum transmit power Pm at BS which cover perfect/imperfect CSI scenarios in BS → SUs and BS → PU. In addition, asymptotic expressions of outage probability in high SNR region are also derived from which we obtain several important insights into the system design. For example, only with perfect CSIs in BS → SUs , i.e., without channel estimation errors and feedback delay, the multiuser diversity can be exploited. Finally, simulation results confirm the correctness of our analysis.

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“…Then, the CDF of the received channel gain of user SU k * at time slot t + τ , e.g., X can be represented as [6],…”

Section: Discussionmentioning

confidence: 99%

“…Also, MIMO can rapidly enhance the reliablity and system capacity [5]. In conventional multiuser MIMO network, considerable efforts have been devoted to the performance analysis [5], [6]. Compared to the traditional network, there are some unique challenges to be addressed for CRN, e.g., the PU's QoS protection issue.…”

Section: Introductionmentioning

confidence: 99%

Multiuser scheduling for cognitive MIMO with channel estimation errors and feedback delay

Yang

Duong

Elkashlan

et al. 2015

2015 IEEE International Conference on Communications (ICC)

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“…Also, [6]- [12] study the problem in massive MIMO systems with asymptotically large number of transmit antennas/receivers. The scheduling algorithms are mostly designed to maximize the network sum rate/capacity [1], [3]- [25], while other objective functions such as the coverage area [2], the feedback load [16], the symbol error probability [17], the packet drop rate [24], the outage probability [26], the bit error probability [26], the outage capacity [27] and the spectral efficiency [28] have been considered as the objective function as well. Moreover, e.g., [4]- [6], [10], [29] suggest different algorithms for fair scheduling.…”

Section: Introductionmentioning

confidence: 99%

“…Moreover, e.g., [4]- [6], [10], [29] suggest different algorithms for fair scheduling. Finally, the effect of imperfect channel state information (CSI) on the performance of the scheduling techniques has been investigated by [9]- [16], [26], [29], and different limited feedback methods have been proposed. As highlighted in the literature, depending on the power constraints, precoding schemes and the considered metrics, user scheduling may be a non-convex problem.…”

Section: Introductionmentioning

confidence: 99%

On the Throughput of Large-but-Finite MIMO Networks Using Schedulers

Makki

Svensson

Alouini

2019

IEEE Trans. Wireless Commun.

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This paper studies the sum throughput of the multiuser multiple-input-single-output (MISO) networks in the cases with large but finite number of transmit antennas and users. Considering continuous and bursty communication scenarios with different users' data request probabilities, we derive quasi-closedform expressions for the maximum achievable throughput of the networks using optimal schedulers. The results are obtained in various cases with different levels of interference cancellation. Also, we develop an efficient scheduling scheme using genetic algorithms (GAs), and evaluate the effect of different parameters, such as channel/precoding models, number of antennas/users, scheduling costs and power amplifiers' efficiency, on the system performance. Finally, we use the recent results on the achievable rates of finite block-length codes to analyze the system performance in the cases with short packets. As demonstrated, the proposed GA-based scheduler reaches (almost) the same throughput as in the exhaustive search-based optimal scheduler, with substantially less implementation complexity. Moreover, the power amplifiers' inefficiency and the scheduling delay affect the performance of the scheduling-based systems significantly.

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“…It is well-known that for a multi-input and multi-output (MIMO) system, either space-time coding or antenna selection can achieve spatial diversity, see for example [1][2][3][4][5][6][7][8]. When multiple transmit antennas are selected, applying space-time coding to selected transmit antennas may improve the system performance further [9][10][11][12][13][14][15][16][17][18].…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of MIMO systems with arbitrary number transmit antenna selection and OSTBC in the presence of imperfect CSI

Xia

Leung

2016

Sci. China Inf. Sci.

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In this paper, the performance analysis of MIMO systems with arbitrary number transmit antenna selection (TAS) and orthogonal space-time block coding (STBC) in Rayleigh fading channels for imperfect channel state information (CSI) is presented. For the performance analysis, the moment generating function of the system effective SNR as well as its upper and lower bounds are derived. Then, accurate and approximate expressions of bit error rate (BER) of MIMO-TAS-STBC with MPSK and MQAM are further derived. Using the approximate BER formula and imperfect CSI, an adaptive antenna selection scheme is developed for minimizing the BER. The diversity gain and coding gain are analyzed at high SNR. The results indicate that the MIMO-TAS-STBC for imperfect CSI can only achieve partial diversity order KN and the coding gain is affected by K, N , code rate, modulation pattern, and channel correlation coefficients, when K transmit antennas are selected and N receive antennas are used. Simulation results show that the theoretical analysis matches the simulation result well, and the approximate expressions are close to the accurate ones but have a lower complexity.

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Unified Analysis of Multiuser Scheduling for Downlink MIMO Systems with Imperfect CSI

Cited by 24 publications

References 29 publications

Multiuser scheduling for cognitive MIMO with channel estimation errors and feedback delay

Multiuser scheduling for cognitive MIMO with channel estimation errors and feedback delay

On the Throughput of Large-but-Finite MIMO Networks Using Schedulers

Performance analysis of MIMO systems with arbitrary number transmit antenna selection and OSTBC in the presence of imperfect CSI

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