Cooperative Non-Orthogonal Multiple Access in Cognitive Radio

Lv, Lu; Chen, Jian; Ni, Qiang

doi:10.1109/lcomm.2016.2596763

Cited by 167 publications

(116 citation statements)

References 8 publications

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“…Accordingly, the objective function of problem P is a monotonically increasing function and can be maximized, when α reaches the upper bound of its feasible set. WithC U andC V being appropriately set, we find that the upper bound of α's feasible set is related to the constraint (b) of (20), and the lower bound corresponds to the constraint (a) of (20). Thus, the optimal solution of problem P is…”

Section: B2 Vmentioning

confidence: 99%

“…The specific design aspects of the NOMA schemes have been discussed in [18]- [20]. Explicitly, in [18], the concept of basic NOMA with SIC was introduced and its performance was compared to that of the traditional orthogonal frequency division multiple access (OFDMA) scheme through a systemlevel evaluation.…”

Section: Introductionmentioning

confidence: 99%

“…A beneficial power allocation scheme was designed in [19] for striking compelling tradeoffs between the user fairness and system throughput. Lv et al [20] studied a new cooperative NOMA transmission scheme and derived the outage probability associated with fixed power allocation.…”

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of NOMA-SM in Vehicle-to-Vehicle Massive MIMO Channels

Chen

Wang

et al. 2017

IEEE J. Select. Areas Commun.

152

104

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Abstract-At the time of writing, vehicle-to-vehicle (V2V) communication is enjoying substantial research attention as a benefit of its compelling applications. However, the ever-increasing teletraffic is expected to result in overcrowding of the available band. As a first resort, multiple-input multiple-output (MIMO) can be utilized to enhance the attainable bandwidth efficiency or link reliability. However, in hostile V2V wireless propagation environments the achievable multiple-antenna gain is eroded by the channel correlation. As a promising MIMO technique, spatial modulation (SM) only activates a single transmit antenna (TA) in any symbol-interval and hence completely avoids the inter-antenna interference (IAI), hence showing robustness against channel correlation. As a further powerful solution, non-orthogonal multiple access (NOMA) has been proposed for improving the bandwidth efficiency. Inspired by the robustness of SM against channel correlation and the benefits of NOMA, we intrinsically amalgamate them into NOMA-SM in order to deal with the deleterious effects of wireless V2V environments as well as to support improved bandwidth efficiency. Moreover, the bandwidth efficiency of NOMA-SM is further boosted with the aid of a massive TA configuration. Specifically, a spatiotemporally correlated Rician channel is considered for a V2V scenario. We investigate the bit error ratio (BER) performance of NOMA-SM via Monte Carlo simulations, where the impact of the Rician K-factor, spatial correlation of the antenna array, time-varying effect of the V2V channel, and the power allocation factor is discussed. Furthermore, we also analyse the capacity of NOMA-SM. By analysing the capacity and deriving closedform upper bounds on the capacity, a pair of power allocation optimization schemes are formulated. The optimal solutions are demonstrated to be achievable with the aid of our proposed algorithm. Again, instead of simply invoking a pair of popular techniques, we intrinsically amalgamate SM and NOMA to conceive a new system component exhibiting distinct benefits in the V2V scenarios considered.Index Terms-Spatial modulation (SM), non-orthogonal multiple access (NOMA), massive multiple-input multiple-output (MIMO), vehicle-to-vehicle (V2V), channel capacity, bit error ratio (BER).

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Section: B2 Vmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Performance Analysis of NOMA-SM in Vehicle-to-Vehicle Massive MIMO Channels

Chen

Wang

et al. 2017

IEEE J. Select. Areas Commun.

152

104

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“…The unlicensed users cannot access the licensed bands, making the bands under-utilized [6,10]. Spectrum allocation flexibility and spectrum utilization efficiency can be achieved with different proposed technologies, such as LTEWiFi aggregation (LWA) [11], operations in millimeter-wave band [12], LTE over the unlicensed band (LTE-U) [13], multicasting [14,15], layer-division multiplexing [14,16], ultra-dense small cells in 5G architecture [17], non-orthogonal multiple access (NOMA) [18][19][20], and software-defined cognitive radio network (SD-CRN) [21][22][23][24][25]. …”

Section: Background and Motivationmentioning

confidence: 99%

Sum Utilization of Spectrum with Spectrum Handoff and Imperfect Sensing in Interweave Multi-Channel Cognitive Radio Networks

Khalid

2018

Sustainability

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Fifth-generation (5G) heterogeneous network deployment poses new challenges for 5G-based cognitive radio networks (5G-CRNs) as the primary user (PU) is required to be more active because of the small cells, random user arrival, and spectrum handoff. Interweave CRNs (I-CRNs) improve spectrum utilization by allowing opportunistic spectrum access (OSA) for secondary users (SUs). The sum utilization of spectrum, i.e., joint utilization of spectrum by the SU and PU, depends on the spatial and temporal variations of PU activities, sensing outcomes, transmitting conditions, and spectrum handoff. In this study, we formulate and analyze the sum utilization of spectrum with different sets of channels under different PU and SU co-existing network topologies. We consider realistic multi-channel scenarios for the SU, with each channel licensed to a PU. The SU, aided by spectrum handoff, is authorized to utilize the channels on the basis of sensing outcomes and PU interruptions. The numerical evaluation of the proposed work is presented under different network and sensing parameters. Moreover, the sum utilization gain is investigated to analyze the sensitivities of different sensing parameters. It is demonstrated that different sets of channels, PU activities, and sensing outcomes have a significant impact on the sum utilization of spectrum associated with a specific network topology.

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“…Zhang et al evaluate the performance of C‐NOMA networks with randomly deployed users. Lv et al consider a C‐NOMA scenario where the ST simultaneously serves both SUs/PUs by allocating higher power to PU in order to improve the reliability of the primary network. LV et al consider a scenario similar to and derive closed form expressions for the outage probability and system throughput for both primary and secondary networks in the presence of Nakgami fading.…”

Section: Introductionmentioning

confidence: 99%

Performance analysis of nonorthogonal multiple access‐based underlay cognitive relay network

Aswathi

Babu

2019

Int J Communication

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Summary This paper considers cooperative non‐orthogonal multiple access (NOMA) scheme in an underlay cognitive radio (CR) network. A single‐cell downlink cooperative NOMA system has been considered for the secondary network, consisting of a base station (BS) and two secondary users, ie, a far user and a near user. The BS employs NOMA signaling to send messages for the two secondary users where the near user is enabled to act as a half‐duplex decode‐and‐forward (DF) relay for the far user. We derive exact expressions for the outage probability experienced by both the users and the outage probability of the secondary system assuming the links to experience independent, nonidentically distributed Rayleigh fading. Further, we analyze the ergodic rates of both the users and the ergodic sum rate of the secondary network. The maximum transmit power constraint of the secondary nodes and the tolerable interference power constraint at the primary receiver are considered for the analysis. Further, the interference caused by the primary transmitter (PT) on the secondary network is also considered for the analysis. The performance of the proposed CR NOMA network has been observed to be significantly better than a CR network that uses conventional orthogonal multiple access (OMA) scheme. The analytical results are validated by extensive simulation studies.

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Cooperative Non-Orthogonal Multiple Access in Cognitive Radio

Cited by 167 publications

References 8 publications

Performance Analysis of NOMA-SM in Vehicle-to-Vehicle Massive MIMO Channels

Performance Analysis of NOMA-SM in Vehicle-to-Vehicle Massive MIMO Channels

Sum Utilization of Spectrum with Spectrum Handoff and Imperfect Sensing in Interweave Multi-Channel Cognitive Radio Networks

Performance analysis of nonorthogonal multiple access‐based underlay cognitive relay network

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