Detection issues with many BS antennas available for bandwidth-efficient uplink transmission in a MU-MIMO system

Torres, Paulo; Gusmão, A.

doi:10.1109/wcnc.2016.7564726

Cited by 4 publications

(8 citation statements)

References 10 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…To deal with practical constraints such as receiver complexity, it has been proposed in [7] to perform the uplink multi-user detection needed in NOMA over several smaller subsets of users, while each subset transmits on a different channel. Besides, low-complexity multi-user receivers based on the approximation of optimal Minimum Mean Square Error (MMSE) detection are studied in [8]- [10]. In [11], the characteristics of the multi-user Multiple Input Multiple Output (MIMO) channel with fewer users than receive antennas are exploited to design an efficient receiver.…”

Section: B Related Workmentioning

confidence: 99%

Effective Design of Multi-User Reception and Fronthaul Rate Allocation in 5G Cloud RAN

Boviz

Chen

Yang

2017

IEEE J. Select. Areas Commun.

View full text Add to dashboard Cite

Abstract-Cloud Radio Access Network (C-RAN) is becoming more than ever timely in 5G for dense network deployments, but its design has to be adapted to 5G requirements. To ensure high uplink throughput in celledge regions affected by inter-cell interference, C-RAN enables multi-user reception techniques among cells. In this paper, we propose an efficient end-to-end uplink transmission scheme dealing with implementation and deployment constraints on both communication interfaces in C-RAN, i.e., the wireless one between the users and the Remote Radio Heads (RRHs), and the fronthaul links between the RRHs and the central processing unit. Multi-cell nonorthogonal multiple access (NOMA) can improve spectral efficiency and cell-edge throughput, but its design needs to fit requirements regarding receiver complexity and delay. Optimizing the fronthaul rate allocation to maximize the benefit of the transmissions allows to exploit the fronthaul links effectively. Our model considers the throughput of NOMA transmissions in C-RAN and the expense related to fronthaul usage in various deployment scenarios. When the available fronthaul rate allows accurate transmission, optimizing fronthaul rate allocation results in 10% higher transmission benefit than uniform allocation. It also makes possible to involve less users in NOMA while keeping the benefit. The proposed strategy enables uplink multi-cell multi-user processing in a cost-effective manner in 5G C-RAN deployments.

show abstract

Section: B Related Workmentioning

confidence: 99%

Effective Design of Multi-User Reception and Fronthaul Rate Allocation in 5G Cloud RAN

Boviz

Chen

Yang

2017

IEEE J. Select. Areas Commun.

View full text Add to dashboard Cite

show abstract

“…Therefore,

{\overset{Y}{true}}_{k}^{'} false(p false) = normalγ false(p false) S_{k} + ([], Γ_{k} false(p false) - normalγ false(p false)) ([], S_{k} - {\overset{S}{true}}_{k} false(p - 1 false)) + D_{k} false(p false) N_{k},

which means that a perfect interference (ISI and MUI/MSI) cancellation could be achieved under the additional assumption of perfect symbol decisions; anyway, under a perfect channel estimation,

{\overset{S}{true}}_{k} false(p - 1 false) \approx S_{k}

should lead to

{\overset{Y}{true}}_{k}^{'} false(p false) \approx normalγ false(p false) S_{k} + D_{k} false(p false) N_{k}

. If

D_{k} false(p false) = {boldH}_{k}^{H}

for p >1, a close approximation to the SIMO/MFB performance, could then be expected after a few iterations, as shown in our previous paper …”

Section: Detection Performance Boundsmentioning

confidence: 99%

“…Two specific cases deserve a special attention. When

\frac{E_{b}^{false(j false)}}{N_{0}} = \infty

S I N R_{j} = S I R_{j} \approx \frac{N_{R}}{N_{T} - 1}

, leading to an I B E R j computation, for each m ( j ), by fully analytical means. When N T =1(SIMO system) or the MUI/MSI is perfectly cancelled at the MF detector output,

S I N R_{j} = 2 normalη m false(j false) N_{R} \frac{E_{b}^{false(j false)}}{N_{0}}

, leading to a B E R j , as a function of

\frac{E_{b}^{false(j false)}}{N_{0}}

and N R for each m ( j ), which can be recognized as the SIMO/AWGN/MFB …”

Section: Detection Performance Boundsmentioning

confidence: 99%

“…In this context, either linear detection techniques considered by Torres et al, or, as an alternative, a class of low‐complexity iterative decision‐feedback (DF) detection techniques are considered here. As to the linear detection alternative, besides including the optimum minimum mean‐squared error (MMSE) detection,() for the sake of comparison, we consider the quite simple matched‐filter (MF) detection and a reduced‐complexity MMSE‐type detection, both avoiding complex matrix inversions.…”

Section: Introductionmentioning

confidence: 99%

“…Both this paper and our previous paper are expanded versions of a recently presented paper . We provide here a much more detailed presentation of the subject than in the aforementioned works,() namely, by including an improved assessment of the “complexity,” “performance,” and “iterative DF convergence” issues, and an evaluation of the impact of an imperfect channel estimation on detection performances, where a new bound is adopted.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

On quasi‐optimum iterative DF detection for large‐scale MU‐MIMO systems

Torres

Gusmão

2017

Trans Emerging Tel Tech

Self Cite

View full text Add to dashboard Cite

This paper deals with single‐carrier/frequency‐domain equalization for uplink transmission within a broadband multiuser multi‐input–multi‐output system, where a large number of base station antennas (NR) can be adopted, possibly much larger than the number of transmitter antennas (NT) jointly using the same time‐frequency resource at mobile terminals. In this context, we propose low‐complexity iterative decision‐feedback (DF) detection techniques, which can be an interesting alternative to the usually recommended linear detection techniques. Our performance results for a range of quadrature amplitude modulation schemes are discussed with the help of selected performance bounds, with a special attention being devoted to the convergence of the iterative process and to the impact of an imperfect channel estimation. They confirm that simple linear detection techniques, designed to avoid the need of complex matrix inversions, can lead to unacceptably high error floor levels unless NR≫NT. However, it is shown that the combined use of such simple linear detectors and suitable interference cancellation procedures within the proposed class of iterative DF detection techniques can offer a nonnegligible performance advantage over the somewhat more complex (due to the required matrix inversions) linear minimum mean‐squared error detection technique. Moreover, we can achieve close approximations to the appropriate performance bounds, which are able to take into account channel estimation imperfections, even for NRNT<10, provided that NRNT is also high enough to ensure iterative DF convergence.

show abstract

A Survey on Massive MIMO Systems in Presence of Channel and Hardware Impairments

Mokhtari

Sabbaghian

Dinis

2019

Sensors

View full text Add to dashboard Cite

Massive multiple input multiple output (MIMO) technology is one of the promising technologies for fifth generation (5G) cellular communications. In this technology, each cell has a base station (BS) with a large number of antennas, allowing the simultaneous use of the same resources (e.g., frequency and/or time slots) by multiple users of a cell. Therefore, massive MIMO systems can bring very high spectral and power efficiencies. However, this technology faces some important issues that need to be addressed. One of these issues is the performance degradation due to hardware impairments, since low-cost RF chains need to be employed. Another issue is the channel estimation and channel aging effects, especially in fast mobility environments. In this paper we will perform a comprehensive study on these two issues considering two of the most promising candidate waveforms for massive MIMO systems: Orthogonal frequency division multiplexing (OFDM) and single-carrier frequency domain processing (SC-FDP). The studies and the results show that hardware impairments and inaccurate channel knowledge can degrade the performance of massive MIMO systems extensively. However, using suitable low complex estimation and compensation techniques and also selecting a suitable waveform can reduce these effects.

show abstract

Detection issues with many BS antennas available for bandwidth-efficient uplink transmission in a MU-MIMO system

Cited by 4 publications

References 10 publications

Effective Design of Multi-User Reception and Fronthaul Rate Allocation in 5G Cloud RAN

Effective Design of Multi-User Reception and Fronthaul Rate Allocation in 5G Cloud RAN

On quasi‐optimum iterative DF detection for large‐scale MU‐MIMO systems

A Survey on Massive MIMO Systems in Presence of Channel and Hardware Impairments

Contact Info

Product

Resources

About