Energy Efficiency Analysis of Heterogeneous Cache-Enabled 5G Hyper Cellular Networks

Zhang, Jiaxin; Zhang, Xing; Imran, Muhammad Ali; Evans, B.G.; Wang, Wenbo

doi:10.1109/glocom.2016.7841790

Cited by 19 publications

(14 citation statements)

References 12 publications

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“…When λ u → ∞, we have K j,n,0 → K j in distribution. Noting that ∞ 0 d exp −cd 2 dd = 1 2c , we can solve integrals in (10). Thus, we can prove Corollary 1.…”

Section: Appendix B: Proof Of Corollarymentioning

confidence: 78%

Joint and Competitive Caching Designs in Large-Scale Multi-Tier Wireless Multicasting Networks

Wang

Cao²,

Cui

et al. 2017

GLOBECOM 2017 - 2017 IEEE Global Communications Conference

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Abstract-Caching and multicasting are two promising methods to support massive content delivery in multi-tier wireless networks. In this paper, we consider a random caching and multicasting scheme with caching distributions in the two tiers as design parameters, to achieve efficient content dissemination in a two-tier large-scale cache-enabled wireless multicasting network. First, we derive tractable expressions for the successful transmission probabilities in the general region as well as the high signal-to-noise ratio (SNR) and high user density region, respectively, utilizing tools from stochastic geometry. Then, for the case of a single operator for the two tiers, we formulate the optimal joint caching design problem to maximize the successful transmission probability in the asymptotic region, which is nonconvex in general. By using the block successive approximate optimization technique, we develop an iterative algorithm, which is shown to converge to a stationary point. Next, for the case of two different operators, one for each tier, we formulate the competitive caching design game where each tier maximizes its successful transmission probability in the asymptotic region. We show that the game has a unique Nash equilibrium (NE) and adopt an iterative algorithm, which is shown to converge to the NE under a mild condition. Finally, by numerical simulations, we show that the proposed designs achieve significant gains over existing schemes.

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“…When λ u → ∞, we have K j,n,0 → K j in distribution. Noting that ∞ 0 d exp −cd 2 dd = 1 2c , we can solve integrals in (10). Thus, we can prove Corollary 1.…”

Section: Appendix B: Proof Of Corollarymentioning

confidence: 78%

Joint and Competitive Caching Designs in Large-Scale Multi-Tier Wireless Multicasting Networks

Wang

Cao²,

Cui

et al. 2017

GLOBECOM 2017 - 2017 IEEE Global Communications Conference

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show abstract

“…The energy efficient user association scheme [16] and resource allocation scheme [17] are proposed to maximize the overall EE of HCN by designing effective iterative algorithms. In [18], the EE analysis is carried out in the cache-enabled HCN with the control and user plane split, and the expressions of coverage probability, throughput and EE are derived analytically as the functions of the cache ability, search radius and backhaul limitation. In [19], the total EE is evaluated in cellular-WLAN heterogeneous network employing CRE technique, and with EE optimization, it shows that the trade-off between the fairness of user throughput and the system EE can achieve better balance by optimizing the bias factor of each access point individually.…”

Section: A Related Workmentioning

confidence: 99%

“…where (a) ignores the dependence between the load and the SINR coverage for tractability of the analysis [12]. Combining (18) and (20), Eq. (19) can be obtained consequently.…”

Section: Data Rate Coveragementioning

confidence: 99%

Energy Efficiency Analysis of Heterogeneous Cellular Networks With Extra Cell Range Expansion

Zhang

Cui

et al. 2017

IEEE Access

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The split control and user plane is key to the future heterogeneous cellular network (HCN), where the small cells are dedicated for the most data transmission while the macro cells are mainly responsible for the control signaling. Adapting to this technology, we propose a general and tractable framework of extra cell range expansion (CRE) by introducing an additional bias factor to enlarge the range of small cells flexibly for the extra offloaded macro users in a two-tier HCN, where the macro and small cell users have different required data rates. Using stochastic geometry, we analyze the energy efficiency (EE) of the extra CRE with joint low power transmission and resource partitioning, where the coverages of EE and data rate are formulated theoretically. Numerical simulations verify that the proposed extra CRE can improve the EE performance of HCN, and also show that deploying more small cells can provide benefits for EE coverage, but the EE improvement becomes saturated if the small cell density exceeds a threshold. Instead of establishing the detail configuration, our work can provide some valuable insights and guidelines to the practical design of future networks, especially for the traffic offloading in HCN.Index Terms-Energy efficiency, heterogeneous network, extra cell range expansion, interference management, stochastic geometry.

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“…A few of the prominent examples include the introduction of a newer Radio Resource Control (RRC) state for context signalling and cutting down on the redundant state changes [6]. Utilization of advanced clustering and caching techniques on the RAN side have been highly appreciated for their benefits of improving the latency of getting the data requested by a group of users and possibly eliminating the factor of clogging the network by a huge number of requests for the same content [7,8]. A case study of commercial resource sharing among different operators bears fruitful results in terms of reduced deployment costs and good data rates with minimum interference among them [9].…”

Section: Introductionmentioning

confidence: 99%

A Survey on Recent Trends and Open Issues in Energy Efficiency of 5G

Usama

Erol‐Kantarci

2019

Sensors

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The rapidly increasing interest from various verticals for the upcoming 5th generation (5G) networks expect the network to support higher data rates and have an improved quality of service. This demand has been met so far by employing sophisticated transmission techniques including massive Multiple Input Multiple Output (MIMO), millimeter wave (mmWave) bands as well as bringing the computational power closer to the users via advanced baseband processing units at the base stations. Future evolution of the networks has also been assumed to open many new business horizons for the operators and the need of not only a resource efficient but also an energy efficient ecosystem has greatly been felt. The deployment of small cells has been envisioned as a promising answer for handling the massive heterogeneous traffic, but the adverse economic and environmental impacts cannot be neglected. Given that 10% of the world’s energy consumption is due to the Information and Communications Technology (ICT) industry, energy-efficiency has thus become one of the key performance indicators (KPI). Various avenues of optimization, game theory and machine learning have been investigated for enhancing power allocation for downlink and uplink channels, as well as other energy consumption/saving approaches. This paper surveys the recent works that address energy efficiency of the radio access as well as the core of wireless networks, and outlines related challenges and open issues.

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Energy Efficiency Analysis of Heterogeneous Cache-Enabled 5G Hyper Cellular Networks

Cited by 19 publications

References 12 publications

Joint and Competitive Caching Designs in Large-Scale Multi-Tier Wireless Multicasting Networks

Joint and Competitive Caching Designs in Large-Scale Multi-Tier Wireless Multicasting Networks

Energy Efficiency Analysis of Heterogeneous Cellular Networks With Extra Cell Range Expansion

A Survey on Recent Trends and Open Issues in Energy Efficiency of 5G

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