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\n\n \n \n J. Hachem; U. Niesen; and S. Diggavi.\n\n\n \n \n \n \n \n Energy-Efficiency Gains of Caching for Interference Channels.\n \n \n \n \n\n\n \n\n\n\n
IEEE Communications Letters, 22(7): 1434-1437. July 2018.\n
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@article{8335768,\n abstract = {This letter initiates the study of energy-efficiency gains provided by caching. We focus on the cache-aided Gaussian interference channel in the low-SNR regime. We propose a strategy that creates content overlaps at the transmitter caches to allow for co-operation between the transmitters. This co-operation yields a beamforming gain, which has to be traded off against a multicasting gain. We evaluate the performance of this strategy and show its approximate optimality in both the single-receiver case and the single-transmitter case.},\n author = {J. {Hachem} and U. {Niesen} and S. {Diggavi}},\n doi = {10.1109/LCOMM.2018.2822694},\n issn = {1558-2558},\n journal = {IEEE Communications Letters},\n keywords = {array signal processing;cache storage;channel capacity;energy conservation;Gaussian channels;multicast communication;radio networks;radiofrequency interference;telecommunication power management;wireless channels;energy-efficiency gains;cache-aided Gaussian interference channel;low-SNR regime;transmitter caches;co-operation yields;beamforming gain;multicasting gain;Transmitters;Receivers;Multicast communication;Array signal processing;Libraries;Interference channels;Network coding;wireless networks;content distribution networks},\n month = {July},\n number = {7},\n pages = {1434-1437},\n tags = {journal,CCWN,IT,ANIT,WiNetnew,SCS},\n title = {Energy-Efficiency Gains of Caching for Interference Channels},\n type = {2},\n url_arxiv = {https://arxiv.org/abs/1808.00653},\n volume = {22},\n year = {2018}\n}\n\n
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\n This letter initiates the study of energy-efficiency gains provided by caching. We focus on the cache-aided Gaussian interference channel in the low-SNR regime. We propose a strategy that creates content overlaps at the transmitter caches to allow for co-operation between the transmitters. This co-operation yields a beamforming gain, which has to be traded off against a multicasting gain. We evaluate the performance of this strategy and show its approximate optimality in both the single-receiver case and the single-transmitter case.\n
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\n\n \n \n J. Sebastian; C. Karakus; and S. Diggavi.\n\n\n \n \n \n \n \n Approximate Capacity of Fast Fading Interference Channels With no Instantaneous CSIT.\n \n \n \n \n\n\n \n\n\n\n
IEEE Transactions on Communications, 66(12): 6015-6027. Dec 2018.\n
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@article{8429509,\n abstract = {We develop a characterization of fading models, which assigns a number called logarithmic Jensen's gap to a given fading model. We show that as a consequence of a finite logarithmic Jensen's gap, an approximate capacity region can be obtained for fast fading interference channels (FF-ICs) for several scenarios. We illustrate three instances where a constant capacity gap can be obtained as a function of the logarithmic Jensen's gap. First, for an FF-IC with neither feedback nor instantaneous channel state information at transmitter (CSIT), if the fading distribution has finite logarithmic Jensen's gap, we show that a rate-splitting scheme based on the average interference-to-noise ratio can achieve its approximate capacity. Second, we show that a similar scheme can achieve the approximate capacity of FF-IC with feedback and delayed CSIT, if the fading distribution has finite logarithmic Jensen's gap. Third, when this condition holds, we show that point-to-point codes can achieve approximate capacity for a class of FF-ICs with feedback. We prove that the logarithmic Jensen's gap is finite for common fading models, including Rayleigh and Nakagami fading, thereby obtaining the approximate capacity region of FF-IC with these fading models.},\n author = {J. {Sebastian} and C. {Karakus} and S. {Diggavi}},\n doi = {10.1109/TCOMM.2018.2864266},\n issn = {1558-0857},\n journal = {IEEE Transactions on Communications},\n keywords = {approximation theory;channel capacity;diversity reception;fading channels;Gaussian channels;MIMO communication;Nakagami channels;radio transmitters;radiofrequency interference;Rayleigh channels;fast fading interference channels;finite logarithmic Jensen's gap;approximate capacity region;FF-IC;constant capacity gap;instantaneous channel state information;fading distribution;common fading models;Rayleigh channels;Receivers;Transmitters;Integrated circuit modeling;Interference;Interference channels;fast fading;capacity region;rate-splitting},\n month = {Dec},\n number = {12},\n pages = {6015-6027},\n tags = {journal,ANIT,WiNetnew,NCWN,WNIF},\n title = {Approximate Capacity of Fast Fading Interference Channels With no Instantaneous CSIT},\n type = {2},\n url_arxiv = {https://arxiv.org/abs/1706.03659},\n volume = {66},\n year = {2018}\n}\n\n
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\n We develop a characterization of fading models, which assigns a number called logarithmic Jensen's gap to a given fading model. We show that as a consequence of a finite logarithmic Jensen's gap, an approximate capacity region can be obtained for fast fading interference channels (FF-ICs) for several scenarios. We illustrate three instances where a constant capacity gap can be obtained as a function of the logarithmic Jensen's gap. First, for an FF-IC with neither feedback nor instantaneous channel state information at transmitter (CSIT), if the fading distribution has finite logarithmic Jensen's gap, we show that a rate-splitting scheme based on the average interference-to-noise ratio can achieve its approximate capacity. Second, we show that a similar scheme can achieve the approximate capacity of FF-IC with feedback and delayed CSIT, if the fading distribution has finite logarithmic Jensen's gap. Third, when this condition holds, we show that point-to-point codes can achieve approximate capacity for a class of FF-ICs with feedback. We prove that the logarithmic Jensen's gap is finite for common fading models, including Rayleigh and Nakagami fading, thereby obtaining the approximate capacity region of FF-IC with these fading models.\n
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\n\n \n \n Jad Hachem; Urs Niesen; and Suhas N Diggavi.\n\n\n \n \n \n \n \n Degrees of freedom of cache-aided wireless interference networks.\n \n \n \n \n\n\n \n\n\n\n
IEEE Transactions on Information Theory, 64(7): 5359–5380. 2018.\n
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@article{hachem2018degrees,\n abstract = {We study the role of caches in wireless interference networks. We focus on content caching and delivery across a Gaussian interference network, where both transmitters and receivers are equipped with caches. We provide a constant-factor approximation of the system's degrees of freedom (DoF), for arbitrary number of transmitters, number of receivers, content library size, receiver cache size, and transmitter cache size (as long as the transmitters combined can store the entire content library among them). We demonstrate approximate optimality with respect to information-theoretic bounds that do not impose any restrictions on the caching and delivery strategies. Our characterization reveals three key insights. First, the approximate DoF is achieved using a strategy that separates the physical and network layers. This separation architecture is thus approximately optimal. Second, we show that increasing transmitter cache memory beyond what is needed to exactly store the entire library between all transmitters does not provide more than a constant-factor benefit to the DoF. A consequence is that transmit zero-forcing is not needed for approximate optimality. Third, we derive an interesting tradeoff between the receiver memory and the number of transmitters needed for approximately maximal performance. In particular, if each receiver can store a constant fraction of the content library, then only a constant number of transmitters are needed. Our solution to the caching problem requires formulating and solving a new communication problem, the symmetric multiple multicast X-channel, for which we provide an exact DoF characterization.},\n author = {Hachem, Jad and Niesen, Urs and Diggavi, Suhas N},\n journal = {IEEE Transactions on Information Theory},\n number = {7},\n pages = {5359--5380},\n publisher = {IEEE},\n tags = {journal,CCWN,IT,WiNetnew,SCS,ANIT},\n title = {Degrees of freedom of cache-aided wireless interference networks},\n type = {2},\n url_arxiv = {https://arxiv.org/abs/1606.03175},\n doi = {10.1109/TIT.2018.2825321},\n volume = {64},\n year = {2018}\n}\n\n
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\n We study the role of caches in wireless interference networks. We focus on content caching and delivery across a Gaussian interference network, where both transmitters and receivers are equipped with caches. We provide a constant-factor approximation of the system's degrees of freedom (DoF), for arbitrary number of transmitters, number of receivers, content library size, receiver cache size, and transmitter cache size (as long as the transmitters combined can store the entire content library among them). We demonstrate approximate optimality with respect to information-theoretic bounds that do not impose any restrictions on the caching and delivery strategies. Our characterization reveals three key insights. First, the approximate DoF is achieved using a strategy that separates the physical and network layers. This separation architecture is thus approximately optimal. Second, we show that increasing transmitter cache memory beyond what is needed to exactly store the entire library between all transmitters does not provide more than a constant-factor benefit to the DoF. A consequence is that transmit zero-forcing is not needed for approximate optimality. Third, we derive an interesting tradeoff between the receiver memory and the number of transmitters needed for approximately maximal performance. In particular, if each receiver can store a constant fraction of the content library, then only a constant number of transmitters are needed. Our solution to the caching problem requires formulating and solving a new communication problem, the symmetric multiple multicast X-channel, for which we provide an exact DoF characterization.\n
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