Multicast-aware caching for small cell networks

Poularakis, Konstantinos; Iosifidis, George; Sourlas, Vasilis; Tassiulas, Leandros

doi:10.1109/wcnc.2014.6952688

Cited by 74 publications

(69 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The main part of the code we wrote is publicly available online in [39]. Hence, the presented results can be easily verified for correctness, while we believe this will encourage future experimentation with wireless caching algorithms for the benefit of the research community.…”

Section: Performance Evaluationmentioning

confidence: 83%

“…Finally, we present an alternate algorithm firstly proposed in our preliminary work in [1]. In contrast to the previous algorithm, this algorithm finds a solution to the MACP problem in a greedy manner, rather than using a systematic optimization procedure.…”

Section: Heuristic Algorithmmentioning

confidence: 99%

“…This is because, the file popularity distribution is the same across all the SBSs (homogeneous demand) in our experiment, and hence simply replicating the (same) most popular files at all the caches drastically reduces the number of multicast-transmissions employed by the MBS. We explored the impact of heterogeneous demand across the SBSs in our prior work [1] using synthetic data, where we showed that GMAC-MT exhibits substantial gains over PAC-MT and PAC-UT for arbitrarily low c n values.…”

Section: Impact Of Cache Sizesmentioning

confidence: 99%

“…Nevertheless, the power consumption typically varies depending on the distance between MBS and receiver and the conditions of the channel. To capture the above, we consider P n to increase proportionally to the square of the distance between MBS and SBS n. Then, we randomly deploy the SBSs such that their distances from MBS range within [1,1], [0.5, 1.5] and [0, 2] km ( Fig. 6(a)).…”

Section: Impact Of Cache Sizesmentioning

confidence: 99%

“…More recently, Yue et al [50] considered the case that the SBSs are privately owned and proposed an auction-based caching mechanism. However, this is the first work, building on our initial study [1], that performs SBS caching with concerns on multicast-transmissions.…”

Section: Related Workmentioning

confidence: 99%

See 4 more Smart Citations

Exploiting Caching and Multicast for 5G Wireless Networks

Poularakis

Iosifidis

Sourlas

et al. 2016

IEEE Trans. Wireless Commun.

Self Cite

239

143

View full text Add to dashboard Cite

Abstract-The landscape towards 5G wireless communication is currently unclear, and, despite the efforts of academia and industry in evolving traditional cellular networks, the enabling technology for 5G is still obscure. This paper puts forward a network paradigm towards next-generation cellular networks, targeting to satisfy the explosive demand for mobile data while minimizing energy expenditures. The paradigm builds on two principles; namely caching and multicast. On one hand, caching policies disperse popular content files at the wireless edge, e.g., pico-cells and femto-cells, hence shortening the distance between content and requester. On other hand, due to the broadcast nature of wireless medium, requests for identical files occurred at nearby times are aggregated and served through a common multicast stream. To better exploit the available cache space, caching policies are optimized with concerns on multicast transmissions. We show that the multicast-aware caching problem is NP-Hard and develop solutions with performance guarantees using randomized-rounding techniques. Trace-driven numerical results show that in presence of massive demand for delay tolerant content, combining caching and multicast can indeed reduce energy costs. The gains over existing caching schemes are 19% when users tolerate delay of three minutes, increasing further with the steepness of content access pattern.

show abstract

Section: Performance Evaluationmentioning

confidence: 83%

Section: Heuristic Algorithmmentioning

confidence: 99%

Section: Impact Of Cache Sizesmentioning

confidence: 99%

Section: Impact Of Cache Sizesmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

See 3 more Smart Citations

Exploiting Caching and Multicast for 5G Wireless Networks

Poularakis

Iosifidis

Sourlas

et al. 2016

IEEE Trans. Wireless Commun.

Self Cite

239

143

View full text Add to dashboard Cite

show abstract

Proactive Caching in 5G Small Cell Networks

2016

View full text Add to dashboard Cite

Massive deployment of small-cell base stations (SBSs) is going to play a key role for capacity and coverage enhancements in 5G networks. However, the backhaul for these networks remains one of the important issue to solve. Ideally, the capacity of backhaul has to be in the same order of wireless links in order to avoid bottlenecks in the delivery and sustain huge traffic generated by mobile users, especially due to video streaming and content sharing in social networks. In reality, the deployment of such high-speed backhauls is not straightforward due to its costly nature. Thus, one promising way of tackling this backhaul bottleneck and satisfying users' demand is to cache the strategic contents at the edge of the network, namely at the SBSs and user terminals (UTs). So far, most of the existing solutions are based on the reactive networking paradigm in which users' content requests are served immediately upon their arrival or causing outages otherwise. In this chapter, we first provide an overview for recent research in small cell networks (SCNs), and then we explore the novel paradigm of proactive caching in SCNs that leverages the latest developments in storage, context-awareness, and social networking. With this approach, we show that important gains can be obtained, with backhaul offloadings and higher ratios of satisfied users reaching up to 22% and 26%, respectively. I. SMALL CELL NETWORKS: PAST, PRESENT AND FUTURE TRENDS Smartphones have exponentially increased the traffic load in current cellular networks showing no signs of slowing down [1], [2]. It is now well understood that a very effective way to increase network capacity is making cells smaller by reducing the distance to the users [3]. Indeed, cell densification has gone from the order of hundreds of square kilometers (back in the eighties) to a fraction of a square meter or less with the advent of hotspots. There has been recently a great interest to deploy relays, distributed antennas and small cellular access points (such as micro/pico/femto cells) in residential homes, subways, enterprises, and hot-spot areas. These network architectures, which are either operator-deployed or user-deployed are referred to heterogeneous networks (HetNets) or small cell networks (SCNs) [3], [4]. By deploying additional network nodes within local-area range and making the network closer to end-users, small cells can significantly improve spatial reuse and coverage, boost capacity, and offload traffic more efficiently [4].

show abstract

Power efficient multicasting for pre‐cached multiple description traffic in a wireless network

Alganas

Zhao

2016

Wireless Communications

View full text Add to dashboard Cite

In this paper, we study multicasting multiple description traffic to a group of mobile stations (MSs). The traffic is pre‐cached at a number of access points (APs), and the MSs have different quality requirements in terms of number of required descriptions. Each AP transmits one description and forms a single‐hop multicast group to reach a certain number of MSs. Different APs can transmit the same or different descriptions. MSs requiring multiple descriptions should be covered by at least the same number of the APs that transmit different descriptions. We study two problems, description assignments, and power allocations. The former is to assign a description for each AP, and the latter is to allocate the transmission power for each AP. Two objectives are considered subject to satisfying the requirements of the MSs, one is to minimize the total transmission power of all the APs, and another is to minimize the maximum transmission power of the APs. For each objective, a centralized and a distributed scheme are proposed, and their performance is compared with the optimum. Numerical results show very good performance of the heuristic schemes. Copyright © 2016 John Wiley & Sons, Ltd.

show abstract

Multicast-aware caching for small cell networks

Cited by 74 publications

References 12 publications

Exploiting Caching and Multicast for 5G Wireless Networks

Exploiting Caching and Multicast for 5G Wireless Networks

Proactive Caching in 5G Small Cell Networks

Power efficient multicasting for pre‐cached multiple description traffic in a wireless network

Contact Info

Product

Resources

About