Multipair Massive MIMO Relaying With Pilot-Data Transmission Overlay

Pan, Leyuan; Dai, Yongyu; Xu, Wei; Dong, Xiaodai

doi:10.1109/twc.2017.2682243

Cited by 14 publications

(9 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Multipair massive MIMO relaying systems were studied in [7], [8]. The work of [7] derived the ergodic rate with maximum-ratio processing and showed that the energy efficiency scales with the number of relay antennas.…”

Section: A Related Workmentioning

confidence: 99%

Transmission Schemes and Power Allocation for Multiuser Massive MIMO Relaying

Ho¹,

Ngo

Matthaiou

2021

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

This paper proposes and analyzes the performance of two simple transmission protocols for a multiuser massive multiple-input multiple-output relaying system, where K singleantenna users transmit data to a massive-antenna destination through an N -antenna relay node. The proposed transmission protocols take imperfect channel state information (CSI) and power allocation into consideration. In the first transmission protocol, the relay does not need to know the CSI. It just amplifies and forwards the received signals to the destination ultilizing the knowledge of the large-scale fading coefficients. In the second protocol, the relay first estimates the channels from all users during the training phase. With these channel estimates, it then uses the classical maximum-ratio combining (MRC) technique to combine all received signals and forwards them to the destination. In both protocols, the destination estimates the channels and employs MRC to decode the signals transmitted from all users. We propose an efficient channel estimation method at the destination in which the destination estimates only the effective channels gains, instead of the whole channels. As a consequence, the channel estimation overhead does not depend on the numbers of relay and destination antennas which makes the system scalable. We derive closed-form expressions for the spectral efficiency of the two transmission protocols. These results allow us to further analyze the performance of these two schemes and to meticulously allocate the transmit powers. Particularly, a max-min power control algorithm is proposed which selects the transmit powers at the relay and users to maximize the lowest spectral efficiency of all users for each large-scale fading realization. We show that, by using the max-min power allocation algorithm in both schemes, the spectral efficiency can be increased significantly, compared to uniform power allocation. Furthermore, a comparison between the two transmission schemes is pursued. If the distance between the users and the relay is large, the first transmission protocol is better and vice versa if this distance is small.

show abstract

Section: A Related Workmentioning

confidence: 99%

Transmission Schemes and Power Allocation for Multiuser Massive MIMO Relaying

Ho¹,

Ngo

Matthaiou

2021

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

show abstract

“…Suraweera et al [24] showed for the first time that by using massive antennas array and a simple transceiver at a relay (i.e., MRC/MRT transceiver or ZF transceiver) with ideal channel state information (CSI), the spectrum efficiency of a dual-hop one-way AF relay system becomes proportional to the number of relay antennas in multi-pair relaying system. After that, the work is extended to kinds of massive MIMO-enabled relaying systems, including half-duplex [25], [26] and fullduplex [27], [28] two-way relay systems, in the areas of performance analysis with imperfect CSI condition under different precoding schemes [29]- [31], training and data transmission design [28], [32], and energy efficiency optimization [33], [34].…”

Section: A Related Workmentioning

confidence: 99%

“…Consider two random vectors (u ∈ C N ×1 ∼ CN (0, A)) and (v ∈ C N ×1 ∼ CN (0, B)), which are mutually independent and independent of Q. Since GH H can be expressed as GH H = K j=1 g j h H j , then we substitute it into (8) and have (29)- (32), as shown at the top of next page.…”

Section: Appendix a Deterministic Equivalent Approximation Lemmamentioning

confidence: 99%

Asymptotic Performance Analysis of Massive MIMO Relay Systems With Multi-Pair Devices Over Correlated Fading Channels

et al. 2019

View full text Add to dashboard Cite

In this paper, we investigate a relay system with multi-pair single-antenna devices, where massive antenna array (also known as massive multiple-input-multiple-output (MIMO) technology) is deployed at the relay with low-complexity maximum-ratio combining/maximum-ratio transmission precoding scheme. By combining massive MIMO and relay cooperation, the performance of relay-assisted communication systems is predicted to be dramatically improved in many areas, e.g., spectral efficiency, energy efficiency, inter-user interference cancelation, and so on, by exploring the abundant spatial degree of freedom of massive MIMO. However, a large number of antennas employed at relay node inevitably leads to antenna correlation because of small antenna spacing subjected to the limited size of the relay node, which may affect the system performance and has not yet been compressively studied. Thus, we focus on analyzing the effect of antenna correlation on the asymptotic performance of system ergodic rate by using a general channel correlation model. First, by means of the deterministic equivalent technology, the analytical expression of the ergodic rate with arbitrary channel correlations is derived, which presents the quantitative relations among system parameters, i.e., the numbers of relay antennas and device-pairs, the channel spatial correlations at the relay's receiver side and the transmitter side, and the transmit powers of the source devices and the relay. By using a general scaling model for system parameters with respect to the relay antenna number, the asymptotic performance of the ergodic rate under spatially correlated channel and the corresponding scaling laws of the system parameters are obtained, which provides useful guidelines to trade off the transmit power and the ergodic rate as well as the number of the served device-pairs. It is further revealed that the influence degrees of the antenna correlations at the relay's receiver and the transmitter on the ergodic rate is nearly the same. Finally, the analytical conclusions are justified through the numerical simulations. INDEX TERMS Massive MIMO relay, ergodic rate, asymptotic performance, scaling law, correlated fading channel.

show abstract

“…When massive MIMO is combined with relaying technologies, the concept of multipair massive MIMO relaying system comes up, which is one of the most widely adopted ways for extending the coverage area and improving the data rate of the users at the cell edge of cellular networks [7]- [12]. Reference [7] analyzed the spectral and energy efficiency of a multi-pair massive MIMO relay network with ZF processing under the practical RF-chain constraint.…”

Section: Introductionmentioning

confidence: 99%

“…The wireless information and power transfer of multipair massive MIMO DF relaying systems were exploited in [10]. Paper [12] proposed a specific pilot transmission scheme in which pilots are sent in partial overlap with the payload data to reduce pilot contamination effect and the channel estimation overhead. Most of above works have assumed that all pilot sequences transmitted from the sources and destination during the training duration are pairwisely orthogonal.…”

Section: Introductionmentioning

confidence: 99%

Pilot Assignment and Power Allocation for Multipair Massive MIMO DF Relaying Networks

Ngo

Matthaiou

2020

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

This paper considers a multi-pair massive multipleinput multiple-output relaying channel where K single-antenna sources communicate with K single-antenna destinations via the assistance of a decode-and-forward relay equipped with massive antenna arrays. The relay station uses maximum-ratio processing to decode the signals transmitted from the sources and precode the signals before broadcasting to the destinations. To perform maximum-ratio processing, the relay needs to know the channels to the sources and the destination. This is done during the training phase where all sources and destinations send pilot sequences to the relay. We consider a very general case in which the pilot sequences are arbitrary. An exact closed-form expression for the end-to-end spectral efficiency is derived taking into account the imperfect channel estimates with arbitrary power control coefficients. From the spectral efficiency formula, we formulate and propose to solve a max-min fairness power allocation. With this power control scheme, the spectral efficiency improves significantly, compared to the uniform power control. In particular, a simple greedy pilot assignment scheme is proposed to reduce the pilot contamination effect, and hence, improve the system performance under the limitations of training duration.

show abstract

Multipair Massive MIMO Relaying With Pilot-Data Transmission Overlay

Cited by 14 publications

References 39 publications

Transmission Schemes and Power Allocation for Multiuser Massive MIMO Relaying

Transmission Schemes and Power Allocation for Multiuser Massive MIMO Relaying

Asymptotic Performance Analysis of Massive MIMO Relay Systems With Multi-Pair Devices Over Correlated Fading Channels

Pilot Assignment and Power Allocation for Multipair Massive MIMO DF Relaying Networks

Contact Info

Product

Resources

About