Capacity analysis of MIMO three product channels

Firag, Abdulla; Smith, Peter J.; McKay, Matthew R.

doi:10.1109/ausctw.2010.5426754

Cited by 7 publications

(6 citation statements)

References 20 publications

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“…where τ denotes the additional time-delay in UAV-assisted transmissions [9]. In a pipelined scheme τ can be negligible [15], and we let τ = 0 in the discussions.…”

Section: Capacity With Uav-assisted Communicationmentioning

confidence: 99%

“…To simplify the analysis, we model the UAV-assisted cellular communication system as a Rayleigh product model when UAVs are beyond LoS. The Rayleigh product channel arises from a general double-scattering model [8], and has been considered before in other contexts e.g., [9]- [14]. However, these works are more focused on analyzing the statistics of eigenvalues and in general have complex expressions for the ergodic capacity.…”

Section: Introductionmentioning

confidence: 99%

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Unmanned Aerial Vehicle Assisted Cellular Communication

Flordelis

Rusek

et al. 2018

2018 IEEE Globecom Workshops (GC Wkshps)

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In this paper, we consider unmanned aerial vehicle (UAV) assisted cellular communications where UAVs are used as amplify-and-forward (AF) relays. The effective channel with UAV-assisted communication is modeled as a Rayleigh product channel, for which we derive a tight lower-bound of the ergodic capacity in closed-form. With the obtained lower-bound, tradeoffs between the transmit power and the equipped number of antennas of the UAVs can be analyzed. Alternatively, for a given setting of users and the base-transceiver station (BTS), the needed transmit power and number of antennas for the UAVs can be derived in order to have a higher ergodic capacity with the UAVassisted communication than that without it.

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“…where τ denotes the additional time-delay in UAV-assisted transmissions [9]. In a pipelined scheme τ can be negligible [15], and we let τ = 0 in the discussions.…”

Section: Capacity With Uav-assisted Communicationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Unmanned Aerial Vehicle Assisted Cellular Communication

Flordelis

Rusek

et al. 2018

2018 IEEE Globecom Workshops (GC Wkshps)

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“…Expressions for the ergodic mutual information of single-cluster and two-cluster scattering MIMO channels can be found in [4,Lemma 1] and [5,Eq. (9)], respectively, which were studied in the context of multihop MIMO relays.…”

Section: Introductionmentioning

confidence: 99%

On the Ergodic Mutual Information of Multiple Cluster Scattering MIMO Channels

et al. 2013

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We consider multiple cluster scattering MIMO channels, where the effective channel equals the product of n complex Gaussian matrices. The considered channel model is typical for picocell propagation environments. For this channel model, we derive a closed-form lower bound of the ergodic mutual information. The derived lower bound is asymptotically tight, and is valid for an arbitrary number of clusters n − 1 and an arbitrary number of antennas. The scaling law of the ergodic mutual information is found, generalizing the known result for the conventional MIMO channel model for which n = 1.Index Terms-MIMO channel models; mutual information; picocell environment; product of Gaussian matrices.

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“…in [16], [17]. Latter, Rayleigh product channel is extended to comprise three channel components in [18], and then eventually to an ensemble of arbitrary K i.i.d. Rayleigh MIMO channels as in [19]- [22].…”

Section: Introductionmentioning

confidence: 99%

On Ergodic Capacity and Optimal Number of Tiers in UAV-Assisted Communication Systems

2019

IEEE Trans. Veh. Technol.

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In this paper, we consider unmanned aerial vehicle (UAV) assisted communication systems where a number of UAVs are utilized as multi-tier relays between a number of users and a base-transceiver station (BTS). We model the wireless propagation channel between the users and the BTS as a Rayleigh product channel, which is a product of a series of independent and identically distributed (i.i.d.) Rayleigh multi-input multi-output (MIMO) channels. We put a special interested in optimizing the number of tiers in such UAV-assisted systems for a given total number of UAVs to maximize the ergodic capacity. To achieve this goal, in a first part we derive a lower-bound in closed-form for the ergodic capacity which is shown to be asymptotically tight as signal-to-noise ratio (SNR) increases. With the derived bound, in a second part we analyze the optimal number of UAV-tiers, and propose a low-complexity procedure that significantly reduces the search-size and yields near-optimal performance. Moreover, asymptotic properties both for the ergodic capacity of Rayleigh product channel, and the optimal solutions on number of tiers are extensively analyzed.

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Capacity analysis of MIMO three product channels

Cited by 7 publications

References 20 publications

Unmanned Aerial Vehicle Assisted Cellular Communication

Unmanned Aerial Vehicle Assisted Cellular Communication

On the Ergodic Mutual Information of Multiple Cluster Scattering MIMO Channels

On Ergodic Capacity and Optimal Number of Tiers in UAV-Assisted Communication Systems

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