Achievable Rates in Uplink Massive MIMO Systems with Pilot Hopping

Alwakeel, Mohammed M.; Mehana, Ahmed Hesham

doi:10.1109/tcomm.2017.2719034

Cited by 13 publications

(17 citation statements)

References 23 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In the literature, different methods that aim to suppress or mitigate the effect of PC can be broadly categorized into protocol based methods [5], BS coordination based methods [6], [7], and pilot reuse or hopping based methods [8], [9]. Please refer to [10] for a comprehensive survey on this subject.…”

Section: A Motivation and Related Workmentioning

confidence: 99%

Stochastic Geometry-Based Uplink Analysis of Massive MIMO Systems With Fractional Pilot Reuse

Parida

Dhillon

2019

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

In this work, we analyze the performance of the uplink (UL) of a massive MIMO network considering an asymptotically large number of antennas at base stations (BSs). We model the locations of BSs as a homogeneous Poisson point process (PPP) and assume that their service regions are limited to their respective Poisson-Voronoi cells (PVCs). Further, for each PVC, based on a threshold radius, we model the cell center (CC) region as the Johnson-Mehl (JM) cell of its BS while rest of the PVC is deemed as the cell edge (CE) region. The CC and CE users are located uniformly at random independently of each other in the JM cell and CE region, respectively. In addition, we consider a fractional pilot reuse (FPR) scheme where two different sets of pilot sequences are used for CC and CE users with the objective of reducing the interference due to pilot contamination for CE users. Based on the above system model, we derive analytical expressions for the UL signal-to-interference-and-noise ratio (SINR) coverage probability and average spectral efficiency (SE) for randomly selected CC and CE users. In addition, we present an approximate expression for the average cell SE. One of the key intermediate results in our analysis is the approximate but accurate characterization of the distributions of the CC and CE areas of a typical cell. Another key intermediate step is the accurate characterization of the pair correlation functions of the point processes formed by the interfering CC and CE users that subsequently enables the coverage probability analysis. From our system analysis, we present a partitioning rule for the number of pilot sequences to be used for CC and CE users as a function of threshold radius that improves the average CE user SE while achieving similar CC user SE with respect to unity pilot reuse.

show abstract

Section: A Motivation and Related Workmentioning

confidence: 99%

Stochastic Geometry-Based Uplink Analysis of Massive MIMO Systems With Fractional Pilot Reuse

Parida

Dhillon

2019

IEEE Trans. Wireless Commun.

View full text Add to dashboard Cite

show abstract

“…The covariance matrix of the channel estimation error C j jk LS = E{h j jk LS (h j jk LS ) H } is derived using (9) [22] C j jk LS = 1…”

Section: Uplink Channel Estimationmentioning

confidence: 99%

“…We note here that if approximations are made by setting M → ∞ then many terms in the SINR expression vanish and an over-simplified form is obtained. We, instead, analyse the SINR γ jk MF similarly to [22] and obtain the following lemma.…”

Section: Mf Detectionmentioning

confidence: 99%

See 1 more Smart Citation

Multi‐cell MMSE data detection for massive MIMO: new simplified bounds

Alwakeel

Mehana

2019

IET Communications

Self Cite

View full text Add to dashboard Cite

“…The most popular and effective training method to estimate the CSI relies on the use of known messages, i.e. training sequences (also called pilots) [9][10][11][12]. In the single-cell scenario, a set of τlength orthogonal pilots is assigned to K (K ≤ τ) users without pilot contamination.…”

Section: Introductionmentioning

confidence: 99%

Uplink training with pilot optimisation for multicell massive multiple‐input multiple‐output systems

Nguyen

et al. 2018

IET Communications

View full text Add to dashboard Cite

Achievable Rates in Uplink Massive MIMO Systems with Pilot Hopping

Cited by 13 publications

References 23 publications

Stochastic Geometry-Based Uplink Analysis of Massive MIMO Systems With Fractional Pilot Reuse

Stochastic Geometry-Based Uplink Analysis of Massive MIMO Systems With Fractional Pilot Reuse

Multi‐cell MMSE data detection for massive MIMO: new simplified bounds

Uplink training with pilot optimisation for multicell massive multiple‐input multiple‐output systems

Contact Info

Product

Resources

About