A Survey on the Successive Interference Cancellation Performance for Single-Antenna and Multiple-Antenna OFDM Systems

Miridakis, Nikolaos I.; Vergados, Dimitrios D.

doi:10.1109/surv.2012.030512.00103

Cited by 189 publications

(117 citation statements)

References 88 publications

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“…7 The high-rate lower bound also holds in the low-rate case, i.e., θ is small. The bound is named as such since in the low-rate case we will provide another (tighter) bound.…”

Section: B the Lower Boundsmentioning

confidence: 92%

“…Despite the huge promise in terms of performance gain, these techniques typically rely heavily on accurate channel state information at the transmitters (CSIT) and thus are less likely to impact practical wireless systems in the near future [7], [8]. Also, many recent works study interference cancellation based on MIMO techniques in the context of random wireless networks, e.g., [8], [20] and references therein.…”

Section: A Successive Interference Cancellation and Related Workmentioning

confidence: 99%

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The performance of successive interference cancellation in random wireless networks

Zhang

Haenggi

2012

2012 IEEE Global Communications Conference (GLOBECOM)

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This paper provides a unified framework to study the performance of successive interference cancellation (SIC) in wireless networks with arbitrary fading distribution and power-law path loss.An analytical characterization of the performance of SIC is given as a function of different system parameters. The results suggest that the marginal benefit of enabling the receiver to successively decode k users diminishes very fast with k, especially in networks of high dimensions and small path loss exponent. On the other hand, SIC is highly beneficial when the users are clustered around the receiver and/or very low-rate codes are used. Also, with multiple packet reception, a lower per-user information rate always results in higher aggregate throughput in interference-limited networks. In contrast, there exists a positive optimal per-user rate that maximizes the aggregate throughput in noisy networks.The analytical results serve as useful tools to understand the potential gain of SIC in heterogeneous cellular networks (HCNs). Using these tools, this paper quantifies the gain of SIC on the coverage probability in HCNs with non-accessible base stations. An interesting observation is that, for contemporary narrow-band systems (e.g., LTE and WiFi), most of the gain of SIC is achieved by canceling a single interferer.

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“…7 The high-rate lower bound also holds in the low-rate case, i.e., θ is small. The bound is named as such since in the low-rate case we will provide another (tighter) bound.…”

Section: B the Lower Boundsmentioning

confidence: 92%

Section: A Successive Interference Cancellation and Related Workmentioning

confidence: 99%

The performance of successive interference cancellation in random wireless networks

Zhang

Haenggi

2012

2012 IEEE Global Communications Conference (GLOBECOM)

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“…In this regard, the use of smart arrays can be of interest to mitigate the effect PU interference on the secondary network [23]. Specifically, with the knowledge of the direction of arrival (DoA) of interference sources, the receive array radiation pattern can be shaped to place deep nulls in the directions of some resolvable interference sources [26], while providing a maximum array gain in the direction of the desired signal. This interference cancellation mechanism can have real applications in multihop CRNs as the mitigation of interference on the secondary network can be of prime importance when primary PUs access the shared spectrum resources heavily.…”

Section: Introductionmentioning

confidence: 99%

Underlay Cognitive Multihop MIMO Networks With and Without Receive Interference Cancellation

Al-Qahtani

Radaydeh

Hessien

et al. 2017

IEEE Trans. Commun.

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“…To meet mobile subscriber and internet user demands for highspeed data, wireless telecommunication bodies have proposed some high speed wireless communication standards including the 3rd Generation Partnership Project (3GPP) Long Term Evolution (LTE) standard for 4G communication systems, and IEEE 802.11 a/g within wireless local area networks (WLANs) for Wi-Fi. In these wireless systems, orthogonal frequency division multiplexing (OFDM) is the adopted physical layer technology because it is spectrally efficient, and offers some immunity to multipath fading [1][2][3].…”

Section: Introductionmentioning

confidence: 99%

A selective control information detection scheme for OFDM receivers

2016

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In wireless communications, both control information and payload (user-data) are concurrently transmitted and required to be successfully recovered. This paper focuses on block-level detection, which is applicable for detecting transmitted control information, particularly when this information is selected or chosen from a finite set of information that are known at both transmitting and receiving devices. Using an orthogonal frequency division multiplexing architecture, this paper investigates and evaluates the performance of a time-domain decision criterion in comparison with a form of Maximum Likelihood (ML) estimation method. Unlike the ML method, the proposed time-domain detection technique requires no channel estimation as it uses the correlation (in the time-domain) that exists between the received and the transmitted selective information as a means of detection. In comparison with the ML method, results show that the proposed method offers improved detection performance, particularly when the control information consists of at least 16. However, the implementation of the proposed method requires a slightly increased number of mathematical computations.

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A Survey on the Successive Interference Cancellation Performance for Single-Antenna and Multiple-Antenna OFDM Systems

Cited by 189 publications

References 88 publications

The performance of successive interference cancellation in random wireless networks

The performance of successive interference cancellation in random wireless networks

Underlay Cognitive Multihop MIMO Networks With and Without Receive Interference Cancellation

A selective control information detection scheme for OFDM receivers

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