The Approximate Capacity Region of the Symmetric &lt;inline-formula&gt; &lt;tex-math notation="LaTeX"&gt;$K$ &lt;/tex-math&gt; &lt;/inline-formula&gt;-User Gaussian Interference Channel With Strong Interference

Chaaban, Anas; Sezgin, Aydin

doi:10.1109/tit.2016.2536667

Cited by 10 publications

(6 citation statements)

References 46 publications

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“…Intuitively, in the extreme case when the backhaul capacity goes to infinity, the C-RAN is equivalent to a broadcast channel (BC). In the other extreme in which the backhaul links have zero-capacity, the C-RAN becomes equivalent to an interference channel (IC), the capacity of which is still a well-known open problem, even for the simple two-user IC, where treating interference as noise (TIN) is known to be a suboptimal strategy, especially in high-interference regimes [14]- [17]. With limited backhaul capacity, C-RAN bridges the two extremes.…”

Section: A Overviewmentioning

confidence: 99%

Interference Mitigation via Rate-Splitting and Common Message Decoding in Cloud Radio Access Networks

Ahmad¹,

Dahrouj²,

Chaaban³

et al. 2019

Preprint

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Cloud-radio access networks (C-RAN) help overcoming the scarcity of radio resources by enabling dense deployment of base-stations (BSs), and connecting them to a central-processor (CP). This paper considers the downlink of a C-RAN, where the cloud is connected to the BSs via limited-capacity backhaul links. We propose and optimize a C-RAN transmission scheme that combines rate splitting, common message decoding, beamforming vectors design and clustering. To this end, the paper optimizes a transmission scheme that combines rate splitting (RS), common message decoding (CMD), clustering and coordinated beamforming. In this work we focus on maximizing the weighted sum-rate subject to per-BS backhaul capacity and transmit power constraints, so as to jointly determine the RS-CMD mode of transmission, the cluster of BSs serving private and common messages of each user, and the associated beamforming vectors of each user private and common messages. The paper proposes solving such a complicated non-convex optimization problem using l 0 -norm relaxation techniques, followed by inner-convex approximations (ICA), so as to achieve stationary solutions to the relaxed non-convex problem. Numerical results show that the proposed method provides significant performance gain as compared to conventional interference mitigation techniques in C-RAN which simply treat interference as noise (TIN).

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Section: A Overviewmentioning

confidence: 99%

Interference Mitigation via Rate-Splitting and Common Message Decoding in Cloud Radio Access Networks

Ahmad¹,

Dahrouj²,

Chaaban³

et al. 2019

Preprint

Self Cite

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“…In the general case, β i and α i can be any value in the defined regime and therefore any number of levels can be needed. The power splitting is done as in the example where signal power is given by (15). The choice of codeword decomposition and level usage is dependent on the underlying LDM scheme.…”

Section: )mentioning

confidence: 99%

“…In these methods, techniques such as lattice coding, split the channel in several power layers, allowing for alignment of interference. It was shown in recent investigations, that LDM solutions are the basis for the corresponding signal-scale alignment methods and therefore provide a stepping-stone for constant bit-gap capacity results, see for example [13], [14], [15]. An interesting application of interference alignment is its use for the Gaussian interfering multiple access channel (G-IMAC) in [16].…”

Section: Introductionmentioning

confidence: 99%

“…From the sum, the original sum can be reconstructed and subtracted from the received signal. It is therefore a successive decoding scheme, which was proven to work for nested lattice codes in [23] and recently applied in [15]. Therefore, each level is treated as a Gaussian point-to-point channel, and decodability is assured providing that the lattice rate is chosen appropriately according to (19) or (20), depending on the specific case.…”

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Constant-gap sum-capacity approximation of the deterministic interfering multiple access channel

Fritschek

Wunder

2015

2015 IEEE International Symposium on Information Theory (ISIT)

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Recent investigations have shown that multi-user gain can be enabled in frequency-flat time-invariant single-antenna cellular networks, for example the interfering multiple access channel (IMAC). These investigations have shown gain beyond results through treating interference as noise (TIN) techniques in the weak interference regime, rendering TIN sub-optimal for these networks. However, it was shown previously that multi-user gain for the multiple access channel interfering with a point-to-point link (MAC-P2P) is limited to the regime equation, with a relapse of the rate to IC level above this regime. Previous results for the IMAC were limited to the very weak interference regime alpha les 1 over 2. The question is if multi-user gain of the deterministic IMAC is also limited to this regime. We answer this question with no and show the sum-capacity approximated by the lower triangular deterministic model for the IMAC and that there is significant multi-user gain for alpha ges 2 over 3. We therefore explore the GDoF of the deterministic IMAC for the whole interference range

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“…For this reason, the utilization of the passive beamsteering of the IRS in a multiuser scenario introduces an increase in interference at the users. Under these circumstances, the strategy of treating interference as noise (TIN) becomes an unattractive solution, as it is known to be a suboptimal strategy, especially in high interference regimes [8][9][10]. Thus, considering the interference caused by spatial reuse and the IRS, we deploy rate splitting (RS) [11,12] as an efficient interference mitigation strategy in the context of our paper.…”

Section: Introductionmentioning

confidence: 99%

Synergistic Benefits in IRS- and RS-enabled C-RAN with Energy-Efficient Clustering

Weinberger¹,

Ahmad²,

Sezgin³

et al. 2021

Preprint

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The potential of intelligent reflecting surfaces (IRSs) is investigated as a promising technique for enhancing the energy efficiency of wireless networks. Specifically, the IRS enables passive beamsteering by employing many low-cost individually controllable reflect elements. The resulting change of the channel state, however, increases both, signal quality and interference at the users. To counteract this negative side effect, we employ rate splitting (RS), which inherently is able to mitigate the impact of interference. We facilitate practical implementation by considering a Cloud Radio Access Network (C-RAN) at the cost of finite fronthaul-link capacities, which necessitate the allocation of sensible user-centric clusters to ensure energy-efficient transmissions. Dynamic methods for RS and the user clustering are proposed to account for the interdependencies of the individual techniques. Numerical results show that the dynamic RS method establishes synergistic benefits between RS and the IRS.Additionally, the dynamic user clustering and the IRS cooperate synergistically, with a gain of up to 88% when compared to the static scheme. Interestingly, with an increasing fronthaul capacity, the gain of the dynamic user clustering decreases, while the gain of the dynamic RS method increases. Around the resulting intersection, both methods affect the system concurrently, improving the energy efficiency drastically. Index TermsBeyond 5G (B5G), intelligent reflecting surface (IRS), reconfigurable intelligent surface (RIS), rate splitting (RS), dynamic clustering, cloud radio access networks (C-RAN), interference management, resource allocation, energy efficiency (EE).

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The Approximate Capacity Region of the Symmetric <inline-formula> <tex-math notation="LaTeX">$K$ </tex-math> </inline-formula>-User Gaussian Interference Channel With Strong Interference

Cited by 10 publications

References 46 publications

Interference Mitigation via Rate-Splitting and Common Message Decoding in Cloud Radio Access Networks

Interference Mitigation via Rate-Splitting and Common Message Decoding in Cloud Radio Access Networks

Constant-gap sum-capacity approximation of the deterministic interfering multiple access channel

Synergistic Benefits in IRS- and RS-enabled C-RAN with Energy-Efficient Clustering

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