Exploiting Base Station Caching in MIMO Cellular Networks: Opportunistic Cooperation for Video Streaming

We propose a novel MIMO cooperation framework called the cache-induced opportunistic cooperative MIMO (Coop-MIMO) for video streaming in backhaul limited multicell MIMO networks. By caching a portion of the video files, the base stations (BSs) opportunistically employ Coop-MIMO transmission to achie...

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Vydáno v:IEEE transactions on signal processing Ročník 63; číslo 1; s. 57 - 69
Hlavní autoři: An Liu, Lau, Vincent
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York IEEE 01.01.2015
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:
Approximation methods
Buffers
Cache-induced opportunistic cooperative MIMO
Caching
Closed-form solutions
Cooperation
Cost analysis
dynamic cache replacement
Exact solutions
fluid/diffusion approximation
Joints
Mathematical analysis
MIMO
Optimization
Payloads
playback buffer management
Playbacks
Product introduction
Streaming media
wireless video streaming
ISSN:1053-587X, 1941-0476
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Shrnutí:We propose a novel MIMO cooperation framework called the cache-induced opportunistic cooperative MIMO (Coop-MIMO) for video streaming in backhaul limited multicell MIMO networks. By caching a portion of the video files, the base stations (BSs) opportunistically employ Coop-MIMO transmission to achieve MIMO cooperation gain without expensive payload backhaul. We derive closed form expressions of various video streaming performance metrics for cache-induced opportunistic Coop-MIMO and investigate the impact of BS level caching and key system parameters on the performance. Specifically, we first obtain a mixed fluid-diffusion limit for the playback buffer queueing system. Then we derive the approximated video streaming performance using the mixed fluid-diffusion limit. Based on the performance analysis, we formulate the joint optimization of cache control and playback buffer management as a stochastic optimization problem. Then we derive a closed form solution for the playback buffer thresholds and develop a stochastic subgradient algorithm to find the optimal cache control. The analysis shows that the video streaming performance improves linearly with the BS cache size BC, the transmit power cost decreases exponentially with BC, and the backhaul cost decreases linearly with BC.
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ISSN:1053-587X
1941-0476
DOI:10.1109/TSP.2014.2367473