Statistical modeling and analysis of interference in wireless networks

Wildemeersch, Matthias

doi:10.3990/1.9789036535724

Cited by 2 publications

(6 citation statements)

References 144 publications

(226 reference statements)

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“…thus (5) decreases with κ for any s. On the other hand, increasing the κ can also increase any average metric that obeys the completely monotonic function [11].…”

Section: The Fading Distributionmentioning

confidence: 96%

A Performance Study of Massive MIMO Heterogeneous Networks with Ricean/Rayleigh Fading

Nyarko

Mbom

2018

Electronics

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Massive multiple-input and multiple-out (massive MIMO) systems and heterogeneous networks (HetNet) are envisioned to meet the new performance objectives of evolving networks. Now, the main challenge of massive MIMO with HetNet in two-tier networks is how to alleviate interference generated by the randomly deployed femtocells to the macro cells. In this paper, we investigate massive MIMO with HetNet, where the intended macro base station (MBS) transmission follows Ricean fading and interfering femto BS transmissions follow Rayleigh fading. Then, by exploiting matrix and stochastic geometric tools, we derive tight approximations for the intended signal power and aggregated interfering power signal. And derive the signal-to-interference (SIR) with the convolution of the two power signals. Then, we obtain the performance objectives: coverage and outage probabilities, and area spectral efficiency. Further, to reduce the cell edge effects and improve the SIR, we study the role of massive MIMO beamforming coordination with the high-powered MBSs. Thus, we develop maxi-min optimization to control the MBS transmit power. Numerical results show that the coverage and outage performance converge for different user locations, pathloss and Ricean factor. The monotonic increase in Ricean factor improves the SIR of a user located within coverage region. Optimal values of macro BS antenna and transmit power guarantee rate-fairness between the coordinating MBSs, and avoid strong Ricean channel correlation. Also, the performance gain is dependent on the user location, but independent of the cell size.

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“…thus (5) decreases with κ for any s. On the other hand, increasing the κ can also increase any average metric that obeys the completely monotonic function [11].…”

Section: The Fading Distributionmentioning

confidence: 96%

A Performance Study of Massive MIMO Heterogeneous Networks with Ricean/Rayleigh Fading

Nyarko

Mbom

2018

Electronics

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“…But the coexistence of the multiple and different BSs generate interference signals. Interference and user-centric analysis of massive MIMO HetNet is comprehensively discussed in [5,6,11,12], where the SINR is modeled over the locations of the users, BSs and characterized by multi-path fading. Incorporating multi-path fading into the point process model [13], the path loss with the fading can be geometrically characterized.…”

Section: Related Workmentioning

confidence: 99%

“…thus (5) decreases with κ for any s. On the other hand, increasing the κ can also increase any average metric that obeys the completely monotonic function [13]. There are other fading distributions (e.g.…”

Section: The Fading Distributionmentioning

confidence: 99%

“…In interference limited system, the thermal noise power is negligible with respect to the interference power. The received power of the typical user at the origin from the association metric [5] is given as…”

Section: The Sir Distributionmentioning

confidence: 99%

“…The scheduled users in HetNet connect to BSs from which strong propagation signal is received, and this includes connecting to neighboring tier's BSs. But the neighboring tier's BSs generate severe interference which is a limiting factor for the signal-to-interference (SIR) in achieving the network throughput [5,6]. This requires new approach to manage or reduce the interference.…”

Section: Introductionmentioning

confidence: 99%

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A Performance Study of Massive MIMO Heterogeneous Networks with Ricean/Rayleigh Fading

Nyarko¹,

Mbom²

2018

Preprint

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The unprecedented demand for services and applications, coupled with large network architecture calls for a radical melioration in evolving wireless networks. Massive multiple-input and multiple-out (massive MIMO) systems, small cell networks (SCN) and Heterogeneous networks (HetNet) are envisioned to meet the new quality of service (QoS) objectives of evolving networks. In this paper, we investigate massive MIMO with HetNet, where the intended macro BS signal follows Ricean fading and interfering Femto BS signals follow Rayleigh fading. Subject to the Ricean assumption, strong line-of-sight (LOS) channel exists in the coverage area, when the high power macro BS is mounted at a high altitude. Then, by exploiting matrix and stochastic geometric tools, we evaluate the signal-to-interference (SIR). And obtain QOS objectives: coverage and outage probabilities, and area spectral efficiency (ASE). Further, we investigate the role of multiple antenna system in improving the SIR. This involves massive MIMO beamforming coordination of the macro BSs through power control with max-min optimization for users at the cell-edge. Numerical results show that the coverage and outage performance converge for different user locations, pathloss and Ricean factor. Also, the monotonic increase in Ricean factor improves the SIR of a user located within coverage region. That is, a user is in an outage at a distance where the Ricean factor is very small. And, optimal macro BS antennas and Ricean factor that achieve the ASE performance guarantee a rate-fairness between the cooperating macrocells, and avoid strong Ricean channel correlation. The performance gain is dependent on Ricean factor and user location, but independent of cell size.

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Statistical modeling and analysis of interference in wireless networks

Cited by 2 publications

References 144 publications

A Performance Study of Massive MIMO Heterogeneous Networks with Ricean/Rayleigh Fading

A Performance Study of Massive MIMO Heterogeneous Networks with Ricean/Rayleigh Fading

A Performance Study of Massive MIMO Heterogeneous Networks with Ricean/Rayleigh Fading

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