Joint Spatial Division and Multiplexing—The Large-Scale Array Regime

Adhikary, Ansuman; Nam, Jeonghun; Ahn, Jae‐Young; Caire, Giuseppe

doi:10.1109/tit.2013.2269476

Cited by 1,301 publications

(1,563 citation statements)

References 35 publications

Supporting

Mentioning

1,547

Contrasting

Unclassified

Order By: Relevance

“…Thankfully, the user-channel spatial correlation can be exploited for improving the efficiency of the DL training operation and of the subsequent feedback (in terms of incurred overheads). Here we briefly describe Joint Spatial Division and Multiplexing (JSDM), which is a systematic approach that exploits the structure of the user-channel correlation in order to enable DL MU-MIMO with large BS antenna arrays and reduced CSI acquisition overheads [20]- [22].…”

Section: Massive Mimo Based On DL Training and Csi Feedbackmentioning

confidence: 99%

“…We focus on the simplest and most natural application of JSDM, which arises in macro deployments whereby the BS is above the surrounding buildings and structures, and where a uniform linear array is used at the BS † [20]. In this case, the transmit-antenna correlation can be approximated via a one-ring model based on which the transmit covariance for user k, and its eigen-space decomposition yielding the representation (27), becomes a function of the user's Angle of Arrival (AoA) distribution.…”

Section: Massive Mimo Based On DL Training and Csi Feedbackmentioning

confidence: 99%

“…Hence, b pilot transmissions are needed to estimate the effective channel of each active user. Numerical examples given in [20] reveal that an order of magnitude savings can be harvested with such approaches, both in training and feedback dimensions. It is also worth noting that, for large-scale ULAs, the pre-beamforming matrices B g can be obtained by selecting blocks of columns of a unitary Discrete Fourier Transform (DFT) matrix.…”

Section: Massive Mimo Based On DL Training and Csi Feedbackmentioning

confidence: 99%

“…It can be readily verified that within each resource block, it is equivalent to the block fading model, where we have N = (L total /L)(I − 1) channel uses, Q = τ(L total /L), and the achievable rates are given by (20) with R k, j scaled by I/(I + 1). By taking into account the numerology of the OFDM system, these user achievable rates can be readily exploited to obtain cell-spectral efficiency and cell-throughput expressions [4].…”

Section: Mimo Operation Over Ofdmmentioning

confidence: 99%

See 3 more Smart Citations

Massive MIMO Technologies and Challenges towards 5G

Papadopoulos¹,

Wang²,

Bursalioglu³

et al. 2016

IEICE Trans. Commun.

100

View full text Add to dashboard Cite

SUMMARY Massive MIMO is widely recognized as an essential technology for 5G. Together with newly allocated spectrum (bandwidth) and network densification (small cells), it is expected to play a key role in coping with the ongoing explosion in data-traffic demand and services. Compared to 4G MIMO technologies, massive MIMO can offer large gains in cell spectral efficiency, which, in combination with small cells and additional bandwidth, can translate into vast gains in throughput per unit area. We briefly overview the most promising TDD and FDD operation modes for massive MIMO, and discuss their potential benefits and challenges considering operation over different tiers and frequency bands. TDD operation is naturally suited to massive MIMO and can offer "massive MIMO" gains, with simple in-cell processing, low overheads and low end-to-end latencies. We also briefly describe some important massive MIMO activities towards 5G, including standardization efforts, system development and experimental trials.

show abstract

Section: Massive Mimo Based On DL Training and Csi Feedbackmentioning

confidence: 99%

Section: Massive Mimo Based On DL Training and Csi Feedbackmentioning

confidence: 99%

Section: Massive Mimo Based On DL Training and Csi Feedbackmentioning

confidence: 99%

Section: Mimo Operation Over Ofdmmentioning

confidence: 99%

See 2 more Smart Citations

Massive MIMO Technologies and Challenges towards 5G

Papadopoulos¹,

Wang²,

Bursalioglu³

et al. 2016

IEICE Trans. Commun.

100

View full text Add to dashboard Cite

show abstract

“…From a pragmatic perspective, in the short-and medium-term it may be more promising to upgrade the existing cellular architecture using an evolutionary strategy. Hence in this paper, we aim for investigating the pros and cons of a pair of representative cellular architectures, namely the coordinated multi-point transmission/reception [2]- [11] aided collocated antenna system (CoMP-CAS) and the fractional frequency reuse [12]- [14] assisted distributed antenna system relying on mobile relays (MR-FFR-DAS), in the context of the multicell uplink. Both of them have the potential of providing a significant gain without incurring dramatic changes of the existing cellular systems, hence they are of great interest to both industry and academia.…”

Section: Introductionmentioning

confidence: 99%

Is the Low-Complexity Mobile-Relay-Aided FFR-DAS Capable of Outperforming the High-Complexity CoMP?

Yang

Alanis

et al. 2016

IEEE Trans. Veh. Technol.

View full text Add to dashboard Cite

Abstract-Coordinated multi-point transmission/reception aided collocated antenna system (CoMP-CAS) and mobile relay assisted fractional frequency reuse distributed antenna system (MR-FFR-DAS) constitute a pair of virtual-MIMO based technical options for achieving high spectral efficiency in interference-limited cellular networks. In practice both techniques have their respective pros and cons, which are studied in this paper by evaluating the achievable cell-edge performance on the uplink of multicell systems. We show that assuming the same antenna configuration in both networks, the maximum available cooperative spatial diversity inherent in the MR-FFR-DAS is lower than that of the CoMP-CAS. However, when the cell-edge MSs have a low transmission power, the lower-complexity MR-FFR-DAS relying on the simple single-cell processing may outperform the CoMP-CAS by using the proposed soft-combining based probabilistic data association (SC-PDA) receiver, despite the fact that the latter scheme is more complex and incurs a higher cooperation overhead. Furthermore, the benefits of the SC-PDA receiver may be enhanced by properly selecting the MRs' positions. Additionally, we show that the performance of the cell-edge MSs roaming near the angular direction halfway between two adjacent RAs (i.e. the "worst-case direction") of the MR-FFR-DAS may be more significantly improved than that of the cell-edge MSs of other directions by using multiuser power control, which also improves the fairness amongst cell-edge MSs. Our simulation results show that given a moderate MS transmit power, the proposed MR-FFR-DAS architecture employing the SC-PDA receiver is capable of achieving significantly better bit-error rate (BER) and effective throughput across the entire cell-edge area, including even the worst-case direction and the cell-edge boundary, than the CoMP-CAS architecture.Index Terms-Base station cooperation, coordinated multipoint (CoMP), fractional frequency reuse, distributed antenna system (DAS), multicell uplink, mobile relay.

show abstract

MassiveMIMOCommunications

Vannithamby

Talwar

2016

Towards 5G

View full text Add to dashboard Cite

Joint Spatial Division and Multiplexing—The Large-Scale Array Regime

Cited by 1,301 publications

References 35 publications

Massive MIMO Technologies and Challenges towards 5G

Massive MIMO Technologies and Challenges towards 5G

Is the Low-Complexity Mobile-Relay-Aided FFR-DAS Capable of Outperforming the High-Complexity CoMP?

MassiveMIMOCommunications

Contact Info

Product

Resources

About