Cognitive Multi-Hop Multi-Branch Relaying: Spectrum Leasing and Optimal Power Allocation

Bastami, Ali H.; Kazemi, Parham

doi:10.1109/twc.2019.2920871

Cited by 18 publications

(11 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Game theory is widely used in wireless communications to solve communication problems like resource allocation [22]- [24], packet relaying [5] and anti-jamming communication [8], [10], [25]- [27] , as shown in Fig. 2.…”

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Anti-Jamming Game to Combat Intelligent Jamming for Cognitive Radio Networks

Ibrahim¹,

Qureshi

et al. 2021

IEEE Access

View full text Add to dashboard Cite

Cognitive Radio (CR) provides a promising solution to the spectrum scarcity problem in the dense wireless networks, where the sensing ability of cognitive users helps acquire knowledge of the environment. However, cognitive users are vulnerable to different types of attacks, due to its shared medium. In particular, Jamming is considered as one of the most challenging security threat in CR networks. In jamming, an attacker jams the communication by transmitting a high power noise signal in the vicinity of the targeted node. The jammer could be an intelligent entity that is capable of exploiting the dynamics of the environment. In this work, we provide a machine-learning-based anti-jamming technique for CR networks to avoid a hostile jammer, where both the jamming and anti-jamming processes are formulated based on the Markov game framework. In our framework, secondary users avoid the jammer by maximizing its payoff function using an online, model-free reinforcement learning technique called Q-learning. We consider a realistic mathematical model, where the channel conditions are time varying and differ from one sub-channel to another, as in practical scenarios. Simulation results show that our proposed approach outperforms existing approaches to combat jamming over a wide range of scenarios.

show abstract

Section: Literature Reviewmentioning

confidence: 99%

“…The adaptability of CR could provide intelligence to spec-trum sensing and spectrum decision [5]. On the other hand, the adversary can also manoeuvre the same features intelligently to create more harm to the underlying CR Network (CRN) [8]- [10].…”

Section: Introductionmentioning

confidence: 99%

Anti-Jamming Game to Combat Intelligent Jamming for Cognitive Radio Networks

Ibrahim¹,

Qureshi

et al. 2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…The exclusive channel allocation is an effective way to solve the performance degradation of SUs [11,12]. Among existing exclusive channel allocation techniques, spectrum leasing (SL) is an effective approach to improve the SUs' QoS [13,14], where the PUs lease a part of the licensed spectrum resources to the SUs and gain the appropriate remuneration [15]. Unlike the spectrum access in conventional CRNs, SUs have access priority in the leased spectrum band of leased cognitive radio network (L-CRN).…”

Section: Introductionmentioning

confidence: 99%

“…The cooperative SL schemes [11,[17][18][19][20] consider that multiple SUs lease a part of a licensed spectrum band from one PU. Meanwhile, the literature [15,16,[21][22][23] analyzes the scenario where multiple PUs provide leased spectrum resources to SUs. In [23], the fixed spectrum leasing (FSL) scheme between PU and SU is investigated.…”

Section: Introductionmentioning

confidence: 99%

Dynamic Flow-Adaptive Spectrum Leasing with Channel Aggregation in Cognitive Radio Networks

Xiao

Zeng

et al. 2020

Sensors

View full text Add to dashboard Cite

Cognitive radio networks (CRNs), which allow secondary users (SUs) to dynamically access a network without affecting the primary users (PUs), have been widely regarded as an effective approach to mitigate the shortage of spectrum resources and the inefficiency of spectrum utilization. However, the SUs suffer from frequent spectrum handoffs and transmission limitations. In this paper, considering the quality of service (QoS) requirements of PUs and SUs, we propose a novel dynamic flow-adaptive spectrum leasing with channel aggregation. Specifically, we design an adaptive leasing algorithm, which adaptively adjusts the portion of leased channels based on the number of ongoing and buffered PU flows. Furthermore, in the leased spectrum band, the SU flows with access priority employ dynamic spectrum access of channel aggregation, which enables one flow to occupy multiple channels for transmission in a dynamically changing environment. For performance evaluation, the continuous time Markov chain (CTMC) is developed to model our proposed strategy and conduct theoretical analyses. Numerical results demonstrate that the proposed strategy effectively improves the spectrum utilization and network capacity, while significantly reducing the forced termination probability and blocking probability of SU flows.

show abstract

“…In this case, different combining techniques such as MRC and SC can be applied at the end receiver (the destination node). The term hybrid hybrid AF/DF originates from the fact that each relay in a cooperative relaying 20,21 network can operate either in AF or DF mode, based on a threshold scheme for the selection of DF and AF relays. As such, in Lu et al, 22 the relays whose received SNRs are above a certain threshold are chosen to decode and forward the data to the destination, whereas the relays which their received SNRs are below that threshold, amplify and forward the data to the destination.…”

mentioning

confidence: 99%

Exact analysis of the multihop multibranch hybrid AF/DF relaying networks

Forghani

Hassan

Mabrouk

et al. 2020

Int J Communication

View full text Add to dashboard Cite

Summary In this paper, the exact analysis of a multihop multibranch (MHMB) relaying network is investigated wherein each relay can operate in amplify‐and‐forward (AF) or decode‐and‐forward (DF) modes depending upon the decoding result of its received signal. If a relay decodes the received signal correctly, it works in DF mode; otherwise, the relay operates in AF mode. Therefore, we name such relaying network as hybrid amplify‐and‐forward and decode‐and‐forward (hybrid AF/DF) relaying network. We first investigate the signal transmission from source to destination node via n number of relays in a hybrid AF/DF MHMB mode. Then, we obtained the statistical features and analyze the end‐to‐end signal‐to‐noise ratio (SNR). Finally, a comprehensive performance analysis is conducted by using maximal ratio combining (MRC) scheme at the destination node. For comparison, we also obtained the results using selection combining (SC) scheme at the destination node. To the best of our knowledge, very few works in the literature have considered a general system model of MHMB relaying network wherein each relay can operate in AF or DF modes, that is, a hybrid AF/DF relaying network. Accordingly, the analysis of our system model is not only novel and exact, but also is comprehensive and can be employed in the future works.

show abstract

Cognitive Multi-Hop Multi-Branch Relaying: Spectrum Leasing and Optimal Power Allocation

Cited by 18 publications

References 42 publications

Anti-Jamming Game to Combat Intelligent Jamming for Cognitive Radio Networks

Anti-Jamming Game to Combat Intelligent Jamming for Cognitive Radio Networks

Dynamic Flow-Adaptive Spectrum Leasing with Channel Aggregation in Cognitive Radio Networks

Exact analysis of the multihop multibranch hybrid AF/DF relaying networks

Contact Info

Product

Resources

About