Lossy Multicasting Over Binary Symmetric Broadcast Channels

Wireless Device-to-Device Caching Networks: Basic Principles and System Performance

“…Over the years, a number of other suggestions have been made to make better use of constrained request patterns: [8]- [11] considers the case that users want the same video at the same time (e.g., in a live streaming service) but with a different channel quality or requested video quality. In this case, scalable video coding can be coupled with some form of broadcast channel coding [12].…”

“…In this case, scalable video coding can be coupled with some form of broadcast channel coding [12]. Specifically, scalable rateless codes [13]- [15] to support heterogeneous users in a broadcast channel scenario are considered in [8], [10], [11]. Another set of recent works considers the case where neighboring wireless users want the same video at the same time, and collaborate in order to improve their aggregate downlink throughput.…”

“…The case of non-line-of-sight (NLOS) 11 , clearly occurs with probability 1 − P W LOS . In the case of mm-wave communications, walls constitute an insurmountable obstacle, i.e., penetration of radiation into neighboring rooms, and between inside/outside the building, is negligible.…”

A Flexible Multiple Description Coding Scheme Based on Rateless Codes

“…In this paper we achieve the above goal by building on a source-channel coding scheme that we developed for lossy a multicast scenario [14]. The scheme is flexible to be used over any binary-input symmetric output channel.…”

“…The scheme is flexible to be used over any binary-input symmetric output channel. In the scheme of [14], [15] a standard embedded scalar quantizer is concatenated with Raptor codes, such that the binary representation of the quantization indices is linearly mapped onto coded symbols. The scheme can be regarded as an efficient implementation of "channel optimized quantization" [16], where the index assignment is obtained via a low-complexity linear function.…”