Ergodic Rate Analysis for Multipair Massive MIMO Two-Way Relay Networks

Jin, Shi; Liang, Xuesong; Wong, Kai-Kit; Gao, Xiqi; Zhu, Qiuming

doi:10.1109/twc.2014.2367503

Cited by 151 publications

(103 citation statements)

References 35 publications

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“…Precoding designs and performance analysis of MIMO relay networks have been extensively investigated [12]- [14]. Encouraged by the impressive merits of massive MIMO, relays equipped with massive antennas are naturally becoming attractive [15]- [18]. Multi-pair one-way relaying with a large antenna array was studied in [16], taking both ZF (zero-forcing) and MRC/MRT (maximum-ratio combining/maximum-ratio transmission) precoding into consideration.…”

Section: Introductionmentioning

confidence: 99%

“…Multi-pair one-way relaying with a large antenna array was studied in [16], taking both ZF (zero-forcing) and MRC/MRT (maximum-ratio combining/maximum-ratio transmission) precoding into consideration. In [17], [18], two-way relaying with massive antennas was analyzed with respect to the achievable rate, and power efficiency was also accordingly characterized under some typical scenarios.…”

Section: Introductionmentioning

confidence: 99%

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Spectral and Energy Efficiency of Multi-Pair Massive MIMO Relay Network With Hybrid Processing

Liu

Jin

et al. 2017

IEEE Trans. Commun.

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Abstract-We consider a multi-pair massive multiple-input multiple-output (MIMO) relay network, where the relay is equipped with a large number, N , of antennas, but driven by a far smaller number, L, of radio frequency (RF) chains. We assume that K pairs of users are scheduled for simultaneous transmission, where K satisfies 2K = L. A hybrid signal processing scheme is presented for both uplink and downlink transmissions of the network. Analytical expressions of both spectral and energy efficiency are derived with respect to the RF chain number under imperfect channel estimation. It is revealed that, under the condition N > 4L2 /π , the transmit power of each user and the relay can be respectively scaled down by 1/ √ N and 2K/ √ N if pilot power scales with signal power, or they can be respectively scaled down by 1/N and 2K/N if the pilot power is kept fixed, while maintaining an asymptotically unchanged spectral efficiency (SE). While regarding energy efficiency (EE) of the network, the optimal EE is shown to be achieved when Pr = 2KPs, where Pr and Ps respectively refer to the transmit power of the relay and each source terminal. We show that the network EE is a quasi-concave function with respect to the number of RF-chains which, therefore, admits a unique globally optimal choice of the RF-chain number. Numerical simulations are conducted to verify our observations. Index Terms-Massive MIMO relay, hybrid processing, spectral efficiency (SE), energy efficiency (EE), limited RF chain.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Spectral and Energy Efficiency of Multi-Pair Massive MIMO Relay Network With Hybrid Processing

Liu

Jin

et al. 2017

IEEE Trans. Commun.

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“…A general power scaling scenario is adopted at the BS or/and users to obtain a better EE performance. Note that the power scaling scenarios applied in [13,16,17] are just some special cases. It needs to be mentioned that this paper is different from [12] in several aspects: (a) a different approach is taken to derive the asymptotic expressions of uplink and downlink signal-tointerference-plus-noise ratio (SINR); (b) both the SE and EE are optimized; (c) new power scaling results on the SE and EE of multi-user FD massive MIMO system are obtained with the general power scaling scenario adopted at the BS and users.…”

Section: Introductionmentioning

confidence: 99%

On the energy/spectral efficiency of multi-user full-duplex massive MIMO systems with power control

Wang

Zhang

et al. 2017

J Wireless Com Network

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In this paper, we consider a multi-user full-duplex (FD) massive multiple-input multiple-output (MIMO) system. The FD base station (BS) is equipped with large-scale antenna arrays, while each FD user is equipped with two antennas (one for transmission and the other one for reception). We assume that the channel state information (CSI) is imperfect, and no instantaneous CSI of loop interference (LI) channel is obtained. On the basis of low-complexity uplink beamforming and downlink precoding techniques, i.e. maximum-ratio combining/maximum-ratio transmission (MRC/MRT) and zero-forcing reception/zero-forcing transmission (ZFR/ZFT), the asymptotic expressions of signal-to-interference-plusnoise ratio (SINR) of uplink and downlink are derived respectively when the number of antennas of the BS tends to infinity. Based on the asymptotic SINR expressions, we first analyse the spectral efficiency (SE) performance assuming that the generalized power scaling scenario is adopted. Through the theoretical derivation, it is shown that the detrimental impact of the LI can be eliminated by the very large number of antennas at the BS if the power scaling scenario is appropriately applied, as well as the interference caused by the imperfect channel estimation, the multi-user interference (MUI) and inter-user interference (IUI). Then, we propose power allocation (PA) scenarios to maximize the energy efficiency (EE) and the sum SE with the constraint of maximum powers at the BS and users. The simulation results verify the accuracy of the asymptotic method, we also validate the effectiveness of the EE and the sum SE maximization PA algorithms. We show that adopting the PA scheme to maximize the sum SE can make the multi-user FD massive MIMO system outperform the half-duplex (HD) counterpart regardless of the level of LI.

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“…In addition, two-way relaying has also engaged huge interest. In [6] and [7], a two-way AF relaying with distributed and centralized antennas are studied, respectively. Their results show that two-way relaying requires more sophisticated techniques to eliminate interferences, while massive MIMO can be wellapplied in such a scenario and achieves considerable capacity.…”

Section: Introductionmentioning

confidence: 99%

Power scaling laws for massive MIMO relay systems with linear transceivers

Yang

Liang

Zhang

et al. 2015

2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP)

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In this paper, we study the uplink of a relayassisted multiuser massive MIMO system. The relay station (RS) equipped with M1 antennas processes the received signal from K single-antenna users, using maximum ratio combining (MRC)/zero-forcing (ZF) detection, and then forwards the postprocessed signal to the base station (BS) with M2 antennas, according to the all-pass relay protocol. In particular, we derive closed-form approximations of the ergodic achievable rate lower bounds, assuming that MRC/ZF combining is performed at the BS. Furthermore, we examine the power scaling law of the proposed system, and find that the transmit powers of relay or users can be reduced in proportion to M 1 or M2, respectively, without any loss in the achievable rate.

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Ergodic Rate Analysis for Multipair Massive MIMO Two-Way Relay Networks

Cited by 151 publications

References 35 publications

Spectral and Energy Efficiency of Multi-Pair Massive MIMO Relay Network With Hybrid Processing

Spectral and Energy Efficiency of Multi-Pair Massive MIMO Relay Network With Hybrid Processing

On the energy/spectral efficiency of multi-user full-duplex massive MIMO systems with power control

Power scaling laws for massive MIMO relay systems with linear transceivers

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