Real-time Distributed MIMO Systems

Hamed, Ezzeldin; Rahul, Hariharan; Abdelghany, Mohammed; Katabi, Dina

doi:10.1145/2934872.2934905

Cited by 62 publications

(23 citation statements)

References 15 publications

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“…One example of cooperative diversity is a cooperative MIMO (also known as distributed [65] or virtual MIMO [66]). The performance of cooperative vehicular relaying is analyzed by Feteiha and Hassanein [67] in LTE-Advanced MIMO downlink channels for coded transmission.…”

Section: Recent Advances In Cvnmentioning

confidence: 99%

Cooperative Vehicular Networking: A Survey

Ahmed

Gharavi

2018

IEEE Trans. Intell. Transport. Syst.

228

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With the remarkable progress of cooperative communication technology in recent years, its transformation to vehicular networking is gaining momentum. Such a transformation has brought a new research challenge in facing the realization of cooperative vehicular networking (CVN). This paper presents a comprehensive survey of recent advances in the field of CVN. We cover important aspects of CVN research, including physical, medium access control, and routing protocols, as well as link scheduling and security. We also classify these research efforts in a taxonomy of cooperative vehicular networks. A set of key requirements for realizing the vision of cooperative vehicular networks is then identified and discussed. We also discuss open research challenges in enabling CVN. Lastly, the paper concludes by highlighting key points of research and future directions in the domain of CVN.

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Section: Recent Advances In Cvnmentioning

confidence: 99%

Cooperative Vehicular Networking: A Survey

Ahmed

Gharavi

2018

IEEE Trans. Intell. Transport. Syst.

228

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“…In this work, both satellites are assumed to be perfectly synchronized. Achieving perfect synchronization among multiple pairs of nodes is challenging even for terrestrial networks . Design of synchronization algorithms for the proposed DSS is beyond the scope of this work, and it is left for future work.…”

Section: Dual Satellite Systemmentioning

confidence: 99%

“…Achieving perfect synchronization among multiple pairs of nodes is challenging even for terrestrial networks. 28,29 Design of synchronization algorithms for the proposed DSS is beyond the scope of this work, and it is left for future work. Let c = 1 and c = 2 be the clusters of spot beams served by satellite-1 (S 1 ) and satellite-2 (S 2 ), respectively.…”

Section: System Modelmentioning

confidence: 99%

Terrestrial Relay‐Aided Cooperative High Throughput Satellite Systems

Sirigina

Madhukumar

Bowyer

2020

Satell Commun Network

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Summary Full frequency reuse based dual satellite system (DSS) is investigated in this work. In the case of DSS, user terminals receive inter spot beam and intra spot beam interfering signals due to the simultaneous transmission of data from both satellites. Cooperative precoding algorithm is proposed to mitigate these effects. The achievable data rates with zero‐forcing (ZF) and regularized ZF precoding algorithms are characterized. If the user terminals served by both satellites are colocated, then the proposed cooperative precoding algorithm fails because of correlated channels. To this end, relay‐aided DSS (RA‐DSS) is proposed. The achievable data rates of both full‐duplex and half‐duplex RA‐DSSs are characterized. Through simulations, it is shown that the proposed full‐duplex RA‐DSS achieves better data rate than the DSS, single satellite system, and orthogonal transmission even if the users are closely placed.

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“…Therefore, the receivers are assumed to use traditional interference‐aware decoders such as SIC and JD. Achieving perfect synchronization is a challenging issue, and design of synchronization algorithms is beyond the scope of this work.…”

Section: System Modelmentioning

confidence: 99%

Analysis of heterogeneous satellite networks with multi‐user detectors

Sirigina

Madhukumar

Bowyer

2020

Satell Commun Network

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Summary In this work, a heterogeneous network, where both terrestrial‐ and multiple spot beam‐based geosynchronous satellite networks use the same sub‐channel, is investigated. Moreover, the satellite uses same sub‐channel to serve users across all spot beams. Apart from inter spot beam interference, satellite users also receive strong interfering signal from the terrestrial base station. The satellite receivers manage the inter system interference (ie, interference from terrestrial network) while the inter spot beam interference is mitigated through precoding at the gateway. To be specific, the following interference‐aware detectors are used to mitigate the inter system interference: successive interference canceller (SIC) and joint decoder (JD). The proposed decoders are shown to achieve better data rate and bit error rate (BER) than the interference ignorant decoder at moderate to strong interference levels. Although JD and SIC achieve same sum rate at moderate and strong interference levels, JD is shown to allow the terrestrial user achieve higher data rate than SIC.

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Real-time Distributed MIMO Systems

Cited by 62 publications

References 15 publications

Cooperative Vehicular Networking: A Survey

Cooperative Vehicular Networking: A Survey

Terrestrial Relay‐Aided Cooperative High Throughput Satellite Systems

Analysis of heterogeneous satellite networks with multi‐user detectors

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