Decontaminating pilots in cognitive massive MIMO networks

Filippou, Miltiades C.; Gesbert, David; Yin, Haifan

doi:10.1109/iswcs.2012.6328481

Cited by 40 publications

(25 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…1), and each BS is equipped with M antennas (M goes infinite) [4]. We assume there are 100 PUs in each PC and 100 SUs in SC, and all users are randomly distributed in each cell.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…The number of orthogonal pilots is 100. The cell radius is r c ¼ 500 meters, and the cell-hole radius is r h ¼ 100 meters (the terminals are not located in this area) [4]. n ¼ 1, c ¼ 1 and ¼ 3:8 are assumed.…”

Section: Numerical Resultsmentioning

confidence: 99%

“…In [3], the authors considered the achievable rate and power efficiency for mMIMO in spectrum-sharing networks. For maximizing the quality of channel estimation for secondary-network (SN), a pilot decontamination algorithm was proposed [4]. In [5], a reciprocity-based CR beamforming scheme was proposed to reduce the interference from secondary-users (SUs) to primary-users (PUs).…”

Section: Introductionmentioning

confidence: 99%

“…In [5], a reciprocity-based CR beamforming scheme was proposed to reduce the interference from secondary-users (SUs) to primary-users (PUs). However, works in [3,4,5] does not involve the pilot allocation problem between primary-network (PN) and SN.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Price-based pilot sharing for spectrum sharing massive MIMO networks

et al. 2017

View full text Add to dashboard Cite

This letter studies a pilot sharing scheme for spectrum-sharing massive MIMO networks, where primary network (PN) can lease portion of orthogonal pilots to secondary network (SN) for channel estimation. We assume that PN and SN are rational and selfish, and they aim at maximizing their revenue when pilots are traded. Then, we propose a price-based iterative optimal pilot allocation algorithm to obtain win-win paradigm, while guaranteeing the primary user ratio (PUR) of the primary cell. Simulation results reveal that PN can achieve more revenue by sacrificing limited pilots while decreasing total interference to adjacent cells. , vol. 23, no. 2, pp. 201-220, Feb. 2005. DOI:10. 1109/JSAC.2004 L. Sboui, Z. Rezki, and M. S. Alouini, "A unified framework for the ergodic capacity of spectrum sharing cognitive radio systems," IEEE Trans. Wireless

show abstract

“…1), and each BS is equipped with M antennas (M goes infinite) [4]. We assume there are 100 PUs in each PC and 100 SUs in SC, and all users are randomly distributed in each cell.…”

Section: Numerical Resultsmentioning

confidence: 99%

Section: Numerical Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Price-based pilot sharing for spectrum sharing massive MIMO networks

et al. 2017

View full text Add to dashboard Cite

show abstract

“…In [2], a joint channel estimation and pilot assignment mechanism is proposed to achieve interference free performance under some special multipath models. In [3], a low-rate inter-cell coordination approach is proposed to discriminate across interfering users even with strongly correlated pilot sequences.…”

Section: Introductionmentioning

confidence: 99%

A stochastic geometry based performance analysis framework for massive MIMO systems with data-assisted uplink detection scheme

Wang

Chen

Wang

2015

2015 IEEE International Conference on Digital Signal Processing (DSP)

View full text Add to dashboard Cite

It has been shown in the existing literature that the data symbols can assist the massive MIMO transmission by relieving the issue of pilot contamination. In order to further evaluate the performance gain from system point of view, a stochastic geometry based framework is established in this paper to analyze the distribution of signal-tointerference ratio in a massive MIMO cellular network with data-assisted uplink detection scheme. The closed-from expressions of the asymptotic performance bounds are thereby derived. It is shown by numerical simulation that the analytical bounds fit the real performance with high accuracy.

show abstract