Performance Analysis of MRC Diversity for Cognitive Radio Systems

Li, Dong

doi:10.1109/tvt.2012.2182787

Cited by 47 publications

(19 citation statements)

References 12 publications

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“…The values of g (cp)j (t) and g cj (t), and their respective distributions, are assumed to be available at the cognitive transmitter and receiver [10]. Given there are n(t) active users present in the cognitive network at time t, the total received SINR of the RCU at the output of the cognitive maximum ratio combining (MRC) RAKE receiver, γ c (t), for a constant transmit power E[S c ], is expressed as [5], [11]:…”

Section: System Model and Problem Formulationmentioning

confidence: 99%

Probabilistic Radio Resource Allocation Over CDMA-Based Cognitive Radio Networks

Mahyari

Shojaeifard

Shikh-Bahaei

2015

IEEE Trans. Veh. Technol.

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A novel probabilistic radio resource allocation algorithm is proposed for code division multiple access (CDMA) cognitive radio (CR) networks. Our method incorporates a sensing based hybrid access-and interference-limited spectrum sharing (AL-IL-SS) strategy in order to maximize the achievable spectral efficiency of cognitive users (CUs) whilst guaranteeing the quality of service (QoS) requirements of licensed services. Specifically, the enhanced performance for CUs is achieved through optimal joint power and rate adaptation to the timevarying multi-user interference (MUI) and frequency-selective fading channel conditions. We show that this scheme can improve the average spectral efficiency of cognitive users, whilst satisfying the peak and average received-interference constraints at the primary receiver.

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Section: System Model and Problem Formulationmentioning

confidence: 99%

Probabilistic Radio Resource Allocation Over CDMA-Based Cognitive Radio Networks

Mahyari

Shojaeifard

Shikh-Bahaei

2015

IEEE Trans. Veh. Technol.

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“…In [12], a ratio selection scheme using a mean value (MV)-based power allocation strategy for MIMO CR networks was studied with average/peak interference power and peak transmit power constraints. When the secondary receiver (SR) has multiple antennas, the maximum ratio combining (MRC) technique was investigated for CR networks in [13], [14]. In [15], a joint transmit-receive antenna selection in MIMO CR network was proposed to maximize the CR data rates satisfying interference constraints at primary receivers (PRs) by using two approaches: one based on iterative approach and one normbased selection approach.…”

Section: Introductionmentioning

confidence: 99%

Proactive Spectrum Sharing for SWIPT in MIMO Cognitive Radio Systems Using Antenna Switching Technique

Benkhelifa

Tourki

Alouini

2017

IEEE Trans. on Green Commun. Netw.

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“…With the fact that the multiple antenna technique will be adopted as one of the key enabling technologies for the next generation wireless communication systems, the importance of understanding the fundamental performance of cognitive multiple antenna networks becomes increasingly evident [15][16][17][18]. Therefore, we are interested in the scenario where a SU equipped with multiple antennas and making a comprehensive analysis of the proposed protocol design for cognitive cooperative networks in this article.…”

Section: Introductionmentioning

confidence: 99%

Protocol design and performance analysis for cognitive cooperative networks with multiple antennas

Huang

Wang

et al. 2013

J Wireless Com Network

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In this article, we deal with a novel access protocol design for cognitive cooperative networks with multiple antennas. According to the principles of cognitive radio, the secondary user (SU) can exploit the primary user (PU) burstiness to access the licensed spectrum in the proposed access protocol. To get more access opportunities to the licensed spectrum, the SU simultaneously relays the PU's packets and transmits its own packets based on the superposition coding. Furthermore, to concurrent transmission of the PU's packets and SU's packets based on the superposition coding such that they are received without the interference at the primary receiver and secondary receiver respectively, two weight vectors at the SU equipped with multiple antennas are designed based on zero-forcing algorithm. Specifically, from a networking perspective, we analyze the performance of the proposed access protocol in terms of the maximum stable throughput and the average end-to-end delay for both the PU and SU based on the principles of queueing theory. In addition, to protect the PU's performance and exhibit the advantage of adopting multiple antenna technology, we jointly optimize the parameter of superposition coding and the number of antennas, and define the maximum stable throughput cooperative gain compared to the non-cooperative access scheme. More importantly, the impact of imperfect channel state information (CSI) at the SU on the maximum stable throughput and the average end-to-end delay performance is evaluated in the simulations from a practical point of view. Analysis and simulation results demonstrate that the proposed access protocol achieves significant performance gains for both the PU and the SU, outperforms the existing cooperative access protocol based on the dirty-paper coding, and keeps robust against to the imperfect CSI.

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Performance Analysis of MRC Diversity for Cognitive Radio Systems

Cited by 47 publications

References 12 publications

Probabilistic Radio Resource Allocation Over CDMA-Based Cognitive Radio Networks

Probabilistic Radio Resource Allocation Over CDMA-Based Cognitive Radio Networks

Proactive Spectrum Sharing for SWIPT in MIMO Cognitive Radio Systems Using Antenna Switching Technique

Protocol design and performance analysis for cognitive cooperative networks with multiple antennas

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