Resource allocation for outage probability minimisation in cognitive radio multicast networks

Xu, Ding; Li, Qun

doi:10.1002/ett.2788

Cited by 12 publications

(6 citation statements)

References 24 publications

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“…It is important to underline that although various resource allocation schemes have been proposed for CR networks [16], the research works referring to the novel architecture of cognitive satellite networks are quite limited [12,17,18]. In this section, we present a brief survey of the existing RRM mechanisms that are presented in the recent literature considering the specific novel architecture, focusing mainly on power control, beamforming techniques and scheduling schemes.…”

Section: Radio Resource Management Schemes For Cognitive Satellite Tementioning

confidence: 99%

Optimal iSINR‐based power control for cognitive satellite terrestrial networks

Vassaki

Poulakis

Panagopoulos

2015

Trans. Emerging Tel. Tech.

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The incorporation of cognitive radio techniques in satellite communications has recently become a significant research challenge leading to the proposal of a novel network infrastructure known as cognitive satellite terrestrial networks. However, efficient resource management mechanisms should be proposed to provide a complete system analysis for this promising architecture. Towards this direction, this article focuses on the problem of power management in cognitive satellite terrestrial systems, where the satellite system has the role of the cognitive system, while the terrestrial represents the primary one. Particularly, a power control scheme for the satellite terminal is proposed. Taking into account the peculiarities of both systems and considering the uplink case, the goal of the proposed scheme is to optimise the performance of the satellite link without deteriorating the communication quality of the terrestrial link. To safeguard the communication of the terrestrial system, we introduce a novel interference-based constraint, which ensures a specific level for the inverse signal-to-interference plus noise ratio of the terrestrial link. Both the cases of perfect and imperfect channel estimation of terrestrial link are considered in order to study a more realistic scenario. Furthermore, for the imperfect case, a protection mechanism is proposed to guarantee the communication quality of the primary link that offsets the uncertainty of channel estimation. Simulation results evaluate the performance of the proposed scheme for various system parameters and verify its superiority compared with the well-known water-filling based power control scheme for both cases of perfect and imperfect channel estimation.

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Section: Radio Resource Management Schemes For Cognitive Satellite Tementioning

confidence: 99%

Optimal iSINR‐based power control for cognitive satellite terrestrial networks

Vassaki

Poulakis

Panagopoulos

2015

Trans. Emerging Tel. Tech.

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“…It is noted that the exhaustive search method is required for obtaining the optimal solution of the problem in Equation 38. However, the complexity of the exhaustive search method is O((N!)…”

Section: Proposed Algorithmsmentioning

confidence: 99%

Resource allocation in underlay cognitive radio networks with full‐duplex cognitive base station

2017

Int J Communication

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This paper considers an underlay cognitive radio network with a full-duplex cognitive base station and sets of half-duplex downlink and uplink secondary users, sharing multiple channels with the primary user. The resource allocation problem to maximize the sum rate of all the secondary users is investigated subject to the transmit power constraints and the interference power constraint. The optimization problem is highly nonconvex, and we jointly use the dual optimization method and the successive convex approximation method to derive resource allocation algorithms to solve the problem. Extensive simulations are shown to verify the performance of the resource allocation algorithms. It is shown that the proposed algorithms achieve much higher sum rate than that of the optimal half-duplex algorithms and the reference full-duplex algorithms. KEYWORDScognitive radio, full-duplex, resource allocation, successive convex approximation Int J Commun Syst. 2017;30:e3321.wileyonlinelibrary.com/journal/dac

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“…According to the constraint (22), only one UL user and one DL user can be scheduled over subcarrier k. Assuming that the scheduled UL user is U m k and the scheduled UL user is D n k , we have s m k ,B,k D s n k ,B,k D 1 and s m 0 ,B,k D s n 0 ,B,k D 0 for m 0 ¤ m k , n 0 ¤ n k . In this case, the constraint (27) can be simplified to Pr˚˛m k ,n,k p m k ,B,k 6 n,k « > 1 , for n D n k and 8k (B.1) Pr˚0 6 n 0 ,k « > 1 , for n ¤ n k and 8k (B.2)…”

Section: Appendix B Proof Of Lemmamentioning

confidence: 99%

“…In OFDMA systems, a wideband frequency spectrum is shared by many orthogonal narrowband subcarriers, and data streams from different users are multiplexed on different subcarriers [23]. Various DL and UL resource allocation algorithms have been proposed and investigated for OFDMA systems [23][24][25][26][27][28]. Most literatures studying resource allocation focus on either DL or UL transmissions, and they model all subchannels (i.e.…”

Section: Introductionmentioning

confidence: 99%

Full‐duplex OFDMA multi‐user cellular systems: resource allocation and user pairing

Jiang

Chen

Lau

et al. 2015

Trans. Emerging Tel. Tech.

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In this paper, we consider an orthogonal frequency division multiple access multi‐user cellular system with one full‐duplex base station communicating with multiple half‐duplex users in a bidirectional way. The uplink and downlink transmissions are coupled together because of the existence of the self‐interference at the base station and the inter‐user interference (IUI) from the uplink users to the downlink users. We aim to maximize the system sum‐rate of uplink and downlink transmissions by optimally pairing the uplink and downlink users and allocating the subcarriers and powers to these users. We formulate the problem as a mixed integer nonlinear programming problem. A two‐layer iterative solution based on the dual method and the sequential parametric convex approximation (SPCA) method is proposed. It is referred to as the dual–SPCA algorithm. The dual–SPCA algorithm requires the IUI channel state information to be available at the base station, and hence, a significant overhead is generated. To reduce the amount of overhead required, we assume that the IUI channel model is known at the base station, and we design a location‐aware resource allocation algorithm with limited channel state information that maximizes the system sum‐rate. Simulation results show that when self‐interference is low, uplink and downlink user‐pairing can provide significant improvement on the system sum‐rate compared with the conventional unidirectional half‐duplex transmission. In addition, by considering two different network deployments, such as urban macro cell scenario and small cell scenario, we show that the improvement of full‐duplex transmission over half‐duplex transmission highly depends on the channel parameters. Copyright © 2015 John Wiley & Sons, Ltd.

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Resource allocation for outage probability minimisation in cognitive radio multicast networks

Cited by 12 publications

References 24 publications

Optimal iSINR‐based power control for cognitive satellite terrestrial networks

Optimal iSINR‐based power control for cognitive satellite terrestrial networks

Resource allocation in underlay cognitive radio networks with full‐duplex cognitive base station

Full‐duplex OFDMA multi‐user cellular systems: resource allocation and user pairing

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