A hybrid TIM-NOMA scheme for the SISO Broadcast Channel

Kalokidou, Vaia; Johnson, Oliver; Piechocki, Robert J.

doi:10.1109/iccw.2015.7247210

Cited by 13 publications

(15 citation statements)

References 16 publications

(25 reference statements)

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“…Ding allocation was optimized under different channel state information (CSI) assumptions. In [8], topological interference management has been applied for single-antenna downlink NOMA transmission. Unlike the above works, [9] addressed the application of NOMA for uplink transmission, where the problems of power allocation and subcarrier allocation were jointly optimized.…”

Section: Introductionmentioning

confidence: 99%

A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment

Ding

Schober

Poor

2016

IEEE Trans. Wireless Commun.

550

466

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The application of multiple-input multiple-output (MIMO) techniques to non-orthogonal multiple access (NOMA) systems is important to enhance the performance gains of NOMA. In this paper, a novel MIMO-NOMA framework for downlink and uplink transmission is proposed by applying the concept of signal alignment. By using stochastic geometry, closed-form analytical results are developed to facilitate the performance evaluation of the proposed framework for randomly deployed users and interferers. The impact of different power allocation strategies, such as fixed power allocation and cognitive radio inspired power allocation, on the performance of MIMO-NOMA is also investigated. Computer simulation results are provided to demonstrate the performance of the proposed framework and the accuracy of the developed analytical results.

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Section: Introductionmentioning

confidence: 99%

A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment

Ding

Schober

Poor

2016

IEEE Trans. Wireless Commun.

550

466

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show abstract

“…The concept of relaying [29] to extend cell coverage can be applied in non-orthogonal coordinated transmissions between multiple small cells and a macro cell in order to achieve more capacity gain. A hybrid scheme proposed by Kalokidou et al [70] combines the principles of topological interference management and NOMA schemes to achieve better performance in terms of sum rate. Further work on the MIMO form of this hybrid method can be investigated.…”

Section: Other Challengesmentioning

confidence: 99%

Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges

Islam

Avazov

Dobre

et al. 2017

IEEE Commun. Surv. Tutorials

2,052

1,162

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Abstract-Non-orthogonal multiple access (NOMA) is one of the promising radio access techniques for performance enhancement in next-generation cellular communications. Compared to orthogonal frequency division multiple access (OFDMA), which is a well-known high-capacity orthogonal multiple access (OMA) technique, NOMA offers a set of desirable benefits, including greater spectrum efficiency. There are different types of NOMA techniques, including power-domain and code-domain. This paper primarily focuses on power-domain NOMA that utilizes superposition coding (SC) at the transmitter and successive interference cancellation (SIC) at the receiver. Various researchers have demonstrated that NOMA can be used effectively to meet both network-level and user-experienced data rate requirements of fifth-generation (5G) technologies. From that perspective, this paper comprehensively surveys the recent progress of NOMA in 5G systems, reviewing the state-of-the-art capacity analysis, power allocation strategies, user fairness, and user-pairing schemes in NOMA. In addition, this paper discusses how NOMA performs when it is integrated with various proven wireless communications techniques, such as cooperative communications, multiple-input multiple-output (MIMO), beamforming, space-time coding, and network coding, among others. Furthermore, this paper discusses several important issues on NOMA implementation and provides some avenues for future research. I. INTRODUCTIONFrom analog phone calls through to all Internet Protocol services, including voice and messaging, each transition has been encouraged by the need to meet the requirements of the new generation of mobile technology. Subsequently, mobile communications technology is presently facing a new challenge, giving birth to a hyper-connected society through the emergence of fifth-generation (5G) services. With enormous potential for both consumers and industry, 5G is expected to roll out by 2020. From the next-generation radio access technology viewpoint, a step change in data speed and a significant reduction in end-to-end latency is a major concern for 5G, since the rapid development of the mobile Internet and the Internet of Things (IoT) exponentially accelerates the demand for high data-rate applications. In particular, many of the industry initiatives that have progressed with work on 5G declare that the network-level data rate in 5G should be 10-20 Gbps (that is, 10-20 times the peak data rate in 4G), and the user-experienced data rate should be 1 Gbps (100 times the user-experienced data rate in 4G). They also set the latency (end-to-end round-trip delay) at 1 millisecond (one-fifth of the latency in 4G).The underlying physical connection in a cellular network is called radio access technology, which is implemented by a radio access network (RAN). A RAN basically utilizes a channel access technique to provide the mobile terminals with a connection to the core network. The design of a suitable multiple access technique is one of the most important aspects in improvi...

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“…The simple concept of the hybrid TIM-NOMA scheme introduced in this paper, as an extension of our work presented in [16], suggests that it could be employed in dense networks, and potentially in heterogeneous networks once certain adjustments in the algorithm are made. Finally, apart from the special case of the SISO channel where a fixed power allocation scheme can be employed, the determination of a fair power allocation method, as mentioned in [14], constitutes a complex procedure in NOMA schemes and requires exhaustive simulations that will maximize the system's performance.…”

Section: Discussionmentioning

confidence: 93%

“…The special case of the SISO BC was introduced in [16], considering the example model, depicted in Figure 2, with = 5 users, = 2 time slots and groups ! , !…”

Section: Special Case: the Siso Broadcast Channelmentioning

confidence: 99%

“…In this paper, which constitutes a revised and updated version of [16], based on [1] and [8], we introduce a hybrid TIM-NOMA scheme in general -user cells, extending the special case of SISO, presented in [16], to MIMO systems. Our contribution is the combination of the TIM and NOMA schemes, in a two-stage decoding way, dividing users in groups.…”

Section: Introductionmentioning

confidence: 99%

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A hybrid TIM-NOMA scheme for the Broadcast Channel

Kalokidou¹,

Johnson²,

Piechocki³

2015

EAI Endorsed Transactions on Wireless Spectrum

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Future mobile communication networks will require enhanced network efficiency and reduced system overhead. Research on Blind Interference Alignment and Topological Interference Management (TIM) has shown that optimal Degrees of Freedom can be achieved, in the absence of Channel State Information at the transmitters. Moreover, the recently emerged NonOrthogonal Multiple Access (NOMA) scheme suggests a different multiple access approach, compared to the orthogonal methods employed in 4G, resulting in high capacity gains. Our contribution is a hybrid TIM-NOMA scheme in K-user cells, where users are divided into T groups. By superimposing users in the power domain, we introduce a two-stage decoding process, managing "inter-group" interference based on the TIM principles, and "intra-group" interference based on Successful Interference Cancellation, as proposed by NOMA. We show that the hybrid scheme can improve the sum rate by at least 100% compared to Time Division Multiple Access, for high SNR values.

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A hybrid TIM-NOMA scheme for the SISO Broadcast Channel

Cited by 13 publications

References 16 publications

A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment

A General MIMO Framework for NOMA Downlink and Uplink Transmission Based on Signal Alignment

Power-Domain Non-Orthogonal Multiple Access (NOMA) in 5G Systems: Potentials and Challenges

A hybrid TIM-NOMA scheme for the Broadcast Channel

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