Cooperative interference cancellation using device-to-device communications

Tanbourgi, Ralph; Jäkel, Holger; Jondral, Friedrich K.

doi:10.1109/mcom.2014.6829953

Cited by 27 publications

(13 citation statements)

References 7 publications

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“…For example, the work in [17] introduce the idea of cooperative interference cancellation (CIC) between close-by UEs using D2D communications for improving the throughput of cellular networks in the downlink (DL) period. Another work in [18] formulates the interference between different D2D and cellular communication links as an interference-aware graph, and proposes an interferenceaware graph based resource sharing algorithm.…”

Section: Introductionmentioning

confidence: 99%

Contract-Based Incentive Mechanisms for Device-to-Device Communications in Cellular Networks

Zhang

Song

Saad

et al. 2015

IEEE J. Select. Areas Commun.

247

114

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Device-to-device (D2D) communication is viewed as one promising technology to boost the capacity of wireless networks and the efficiency of resource management. D2D communication heavily depends on the participation of users in sharing contents. Thus, it is imperative to introduce new incentive mechanisms to motivate such user involvement. In this paper, a contract-theoretic approach is proposed to solve the problem of providing incentives for D2D communication in cellular networks. First, using the framework of contract theory, the users' preferences towards D2D communication are classified into a finite number of types, and the service trading between the base station and users is properly modeled. Next, necessary and sufficient conditions are derived to provide incentives for users' engagement in D2D communication. Finally, our analysis is extended to the case in which there is a continuum of users. Simulation results show that the contract can effectively incentivize users' participation, and increase capacity of the cellular network than the other mechanisms.

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Section: Introductionmentioning

confidence: 99%

Contract-Based Incentive Mechanisms for Device-to-Device Communications in Cellular Networks

Zhang

Song

Saad

et al. 2015

IEEE J. Select. Areas Commun.

247

114

View full text Add to dashboard Cite

show abstract

“…Hence, there is no clear relationship between the rate and the transmit SNR. Besides, no explicit observation concerning the impact of the number of antennas can be made due to the complexity of (15). In our analysis, we will mainly focus on two special cases including high SNR and the case where very large number of antennas are deployed, which shed light on the relevant parameters' impacts on achievable rate.…”

Section: ) General Expressionmentioning

confidence: 99%

“…With the limit derived in (22) and according to the exact expression of the achievable rate in (15), in the large antenna number scenario, the achievable rate will approach to a constant value as…”

Section: ) High Snr Scenariomentioning

confidence: 99%

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Interference mitigation scheme by antenna selection in device-to-device communication underlaying cellular networks

Wang

Jin

et al. 2016

J. Commun. Netw.

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In this paper, we investigate an interference mitigation scheme by antenna selection in device-todevice (D2D) communication underlaying downlink cellular networks. We first present the closed-form expression of the system achievable rate and its asymptotic behaviors at high signal-to-noise ratio (SNR) and the large antenna number scenarios. It is shown that the high SNR approximation increases with more antennas and higher ratio between the transmit SNR at the BS and the D2D transmitter. In addition, a tight approximation is derived for the rate and we reveal two thresholds for both the distance of the D2D link and the transmit SNR at the BS above which the underlaid D2D communication will degrade the system rate. We then particularize on the small cell setting where all users are closely located. In the small cell scenario, we show that the relationship between the distance of the D2D transmitting link and that of the D2D interfering link to the cellular user determines whether the D2D communication can enhance the system achievable rate. Numerical results are provided to verify these results.

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“…In this paper, we study the case in which successive interference cancellation is used. Recently, cooperative interference cancellation in the context of 3GPP D2D communications has been proposed and discussed [30]. To the best of our knowledge, our previous work [5] is the first in the literature that exploits network information theory for D2D communications.…”

Section: Related Workmentioning

confidence: 99%

Group Partition and Dynamic Rate Adaptation for Scalable Capacity-Region-Aware Device-to-Device Communications

Liou

Gau

Chang

2015

IEEE Trans. Wireless Commun.

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In this paper, we propose using group partition and dynamic rate adaptation for scalable throughput optimization of capacity-region-aware device-to-device communications. We adopt network information theory that allows a receiving device to simultaneously decode multiple packets from multiple transmitting devices, as long as the vector of transmitting rates is inside the capacity region. Based on graph theory, devices are first partitioned into subgroups. To optimize the throughput of a subgroup, instead of directly solving an integer-linear programming problem, we propose using a fast iterative algorithm to select active devices and using aggression levels for rate adaptation based on channel state information. Simulation results show that the proposed algorithm is scalable and could significantly outperform the greedy algorithm by more than 50%.

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Cooperative interference cancellation using device-to-device communications

Cited by 27 publications

References 7 publications

Contract-Based Incentive Mechanisms for Device-to-Device Communications in Cellular Networks

Contract-Based Incentive Mechanisms for Device-to-Device Communications in Cellular Networks

Interference mitigation scheme by antenna selection in device-to-device communication underlaying cellular networks

Group Partition and Dynamic Rate Adaptation for Scalable Capacity-Region-Aware Device-to-Device Communications

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